Cloud - Ratio

Administer Database Visibility with Cisco AppDynamics

The Administer Database Visibility with Cisco AppDynamics (IFV401) training will teach you to use Cisco AppDynamics Database Visibility to monitor Structured Query Language (SQL) and Stored Procedures, execution plans, wait states, blocked sessions, resource consumption, database objects, and schema statistics, as well as how to drill down into Database (DB) backend issues for end-to-end visibility of business transactions. This training will teach you how to install the database agent and configure Database Visibility, as well as how to gather the information to proactively tune and fix database issues before they affect end users.

How You’ll Benefit

This training will help you:

– Learn how to install the database agent and configure Database Visibility
– Gain leading-edge skills for high-demand responsibilities in the cloud computing industry

Administer Users and Licenses for Cisco AppDynamics

The Administer Users and Licenses for Cisco AppDynamics (APM400) training shows that Cisco AppDynamics uses a role-based access control model to assign permissions to users and groups. In this training, you will learn how to create users locally, as well as how to manage your company’s users in Cisco AppDynamics using an external Identity Provider (IDP), specifically, Security Assertion Markup Language (SAML) IDP in this training. You’ll create roles and groups to assign permissions to users. You will also explore the differences between the agent-based licensing (ABL) model and infrastructure-based licensing (IBL) model and learn how to migrate from ABL to IBL.

How You’ll Benefit

This training will help you:

– Understand how to assign permissions to users and groups in AppDynamics
– Gain leading-edge skills for high-demand responsibilities in the cloud computing industry

Administer Windows Server Hybrid Core Infrastructure

This course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.

You could also consider taking this Applied Skills to deepen skills in hybrid infrastructure. You can take the Applied Skills assessment to deepen your skills in managing on-premises and hybrid Windows Server environments:

– Administer Active Directory Domain Services (AZ-1008)

Advanced APM for Cisco AppDynamics

The Advanced APM for Cisco AppDynamics (APM220) training shows you that planning and mapping Cisco AppDynamics to your application is a critical step to successfully monitor your applications. In this training, you will practice some useful strategies for discovering, prioritizing, and managing the Business Transactions that are most important to your business. You’ll also learn to use various tools and techniques to find and resolve issues in your application before they impact your customers or your business.

How You’ll Benefit

This training will help you:

– Learn how to plan and map Cisco AppDynamics to your application
– Gain leading-edge skills for high-demand responsibilities in the cloud computing industry

Advanced Architecting on AWS

In this course, each module presents a scenario with an architectural challenge to be solved. You will examine available AWS services and features as solutions to the problem. You will gain insights by participating in problem-based discussions and learning about the AWS services that you could apply to meet the challenges. Over 3 days, the course goes beyond the basics of a cloud infrastructure and covers topics to meet a variety of needs for AWS customers. Course modules focus on managing multiple AWS accounts, hybrid connectivity and devices, networking with a focus on AWS Transit Gateway connectivity, container services, automation tools for continuous integration/continuous delivery (CI/CD), security and distributed denial of service (DDoS) protection, data lakes and data stores, edge services, migration options, and managing costs. The course concludes by presenting you with scenarios and challenging you to identify the best solutions

Advanced Architecting on AWS with AWS Jam

The final day is an AWS Jam, a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

Advanced C++ Programming

Description Advanced C++ equips you with the confidence to effectively tackle any C++ project. Throughout this course, you’ll gain insights into structuring your code for improved readability, optimizing code for enhanced speed and functionality, and seamlessly integrating and generating libraries. C++ stands as one of the most prevalent programming languages utilized across a spectrum of

Advanced Developing on AWS with AWS Jam

The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This four-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud native architectures; and applying the tenets of the Twelve-Factor Application methodology.

Advanced Django

Description Advanced Django is a deep-dive course designed to build on the skills covered in the Introduction to Django course. This hands-on training explores powerful features and best practices used by professional Django developers to build scalable, maintainable, and secure web applications. Students will work with advanced topics such as complex query handling, pagination, media

Advanced Generative AI Development on AWS

The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack – from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks. The course structure follows AWS’s proven model for generative AI adoption, progressing from experimentation to production-ready implementations.

Advanced Machine Learning with TensorFlow on Google Cloud Platform

This course will give you hands-on experience optimizing, deploying, and scaling a variety of production ML models. You’ll learn how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text, along with recommendation systems.

Advanced Programming Techniques with Python

Description Python® remains a favored programming language, likely due to its accessible learning curve, minimal code requirements, and adaptability for various purposes including business, web development, and scientific applications. Python proves invaluable for crafting tailored software tools, applications, web services, and cloud-based solutions. In this course, you’ll expand upon your foundational Python proficiency, delving into

Advanced Time Management

Description Do you suffer from having to deal with too many e-mails? Do you follow a task management system, but still get overwhelmed by all the tasks that need doing? Do you suffer from information overload? Do you constantly feel like you want to check your social media site right in the middle of work?

Advanced Troubleshooting & Monitoring with Cisco AppDynamics

The Advanced Troubleshooting & Monitoring with Cisco AppDynamics (APM224) training shows you that planning and mapping Cisco AppDynamics to your application is a critical step to successfully monitoring your applications. In this training, you will learn how to use advanced troubleshooting tools like Data Collectors, understand and configure Information Points, and see how to discover Java memory leaks using Automatic Leak Detection. This training is the FOURTH in a learning series for APM Advanced configurations.

Agentic AI Foundations

In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

AlloyDB Essentials

This course explores the benefits of AlloyDB, especially compared to PostgreSQL on Cloud SQL. It will walk yo through AlloyDB’s unique architecture, and explain how to configure deployments on Google Cloud. The course is divided into two parts: AlloyDB Administration Essentials (architecture and configuration) and AlloyDB Optimization Essentials (performance tuning).

Amazon SageMaker Studio for Data Scientists

Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.

Application Development with Cloud Run

Application Development with LLMs on Google Cloud

In this course, you’ll dive into the details of using Large Language Models (LLMs) in your applications. You’ll start by exploring the core principles that underpin prompting LLMs. Next, you will focus on Google’s latest family of models, Gemini. You’ll explore the various Gemini models and their multimodal capabilities. This includes a deep dive into effective prompt design and engineering within the Vertex AI Studio environment. Then, the course moves to application development frameworks and how to implement these concepts into your applications.

Architecting on AWS

Architecting on AWS is for solutions architects, solution-design engineers, and developers seeking an understanding of AWS architecting. In this course, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud.

Architectural solutions differ depending on industry, types of applications, and business size. AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework, and guide you through the process of designing optimal IT solutions based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned.

Architecting on AWS with AWS Jam

Architectural solutions differ depending on industry, types of applications, and business size. AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework, and guide
you through the process of designing optimal IT solutions, based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned with confidence.

Architecting with Google Cloud: Design and Process

This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.

Architecting with Google Compute Engine

Learning Objectives Consider the entire range of Google Cloud Platform technologies in their plans Learn methods to develop, implement, and deploy solutions Distinguish between features of similar or related products and technologies Recognize a wide variety of solution domains, use cases, and applications Develop essential skills for managing and administering solutions Develop knowledge of solution

Architecting with Google Kubernetes Engine

This course introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and other services provided by Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services, as well as networks and application services. This course also covers deploying practical solutions, including security and access management, resource management, and resource monitoring.

Automate Azure Load Testing by using GitHub Actions AZ-2006

Learn how to implement GitHub Actions and configure Azure Load Testing to automate testing app deployments.

Automating Administration with PowerShell

This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Exchange Server, Microsoft SharePoint Server, Microsoft SQL Server, and Microsoft System Center. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches.

AWS Certified Developer Associate Bundle

AWS Certified Solutions Architect Associate Bundle

Prerequisites Attendees should have the following prerequisites as per courses included in the bundle: Working knowledge of distributed systems Familiarity with general networking concepts Working knowledge of multi-tier architectures Familiarity with cloud computing concepts Who Should Attend This bundle is aimed at candidates working towards the AWS Certified Solutions Architect Associate Certification. Who should take

AWS Certified SysOps Administrator Associate Bundle

AWS Cloud Essentials for Business Leaders

In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies meet business objectives. It explores the advantages and possibilities of cloud computing. It also introduces addresses concepts such as security and compliance to help facilitate better discussions with line of business (LOB) professionals and executives.

AWS Cloud Practitioner Essentials

This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

AWS Data Analytics Course Collection Bundle

The 4 day AWS Data Analytics course collection bundle combines the following courses:

– Building Data Lakes on AWS (BDLA)
– Building Batch Data Analytics Solutions on AWS (BBDAS)
– Building Data Analytics Solutions Using Amazon Redshift (BDASAR)
– Building Streaming Data Analytics Solutions on AWS (BSDASA)
These four courses together replace the Big Data on AWS course track and cover key topics covered in the exam for the AWS Certified Data Analytics – Specialty certification.

This fantastic bundle will save you over 30% discount from the original list price. Purchase the complete package for £2520!

AWS Discovery Day: Cloud Practitioner Essentials

Gain an overall understanding of AWS Cloud, independent of specific technical roles, with the fundamental-level AWS Cloud Practitioner Essentials Day. This event provides a detailed overview of cloud concepts, AWS solutions, security, architecture, pricing, and support. The event will also help you prepare for the AWS Certified Cloud Practitioner exam.

– Level: Fundamental
– Duration: 5 hours
We recommend that attendees of this event continue learning with this course:

– AWS Technical Essentials (AWSE)

AWS Discovery Day: Machine Learning Basics

Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning.

– Level: Fundamental
– Duration: 1.5 hours
We recommend that attendees of this event continue learning with these:

– Courses

– (!)
– MLOps Engineering on AWS (MLOE)
– Practical Data Science with Amazon SageMaker (PDSASM)
– (!)
– Resources

– AWS Ramp-Up Guide: Machine Learning

AWS Discovery Day: Securing Your AWS Cloud

Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. This event introduces several AWS services that you can use to improve your current security posture. It also covers the different security design principles that will help you to plan your security approach in the AWS Cloud and provides information on resources you can use to further your knowledge around security on AWS.

– Level: Fundamental
– Duration: 1.5 hours
We recommend that attendees of this event continue learning with these:

– Courses

– AWS Security Essentials (SEC-ESS)
– (!)
– Security Engineering on AWS (AWSSO)
– Resources

– AWS Ramp-Up Guide: Security

AWS Jam – Advanced Architecting

The Advanced Architecting on AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks.

The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

AWS Jam – Advanced Developing

The Advanced Developing on AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

AWS Jam – Architecting

The Architecting on AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the Architecting on AWS course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks.

The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understand how they interoperate.

AWS Jam – Cloud Operations

The Cloud Operations on AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks.

The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

AWS Jam – Developing

The Developing on AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate

AWS Jam – DevOps Engineering

The DevOps Engineering on AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

AWS Jam – Security Engineering

AWS Migration Essentials

This course is intended to provide solutions architects with the foundational knowledge required to successfully plan and perform lift and shift migrations to the AWS Cloud. In this course you will learn about methodologies for discovering, planning, performing, and tracking migrations by using various AWS tools and services.

AWS Security Essentials

AWS Security Essentials covers fundamental AWS Cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, this course teaches where in the AWS Cloud you are responsible for implementing security. You’ll also learn what security-oriented services are available to you, as well as why and how the security services can help meet the security needs of your organization.

AWS Technical Essentials

AWS Technical Essentials introduces you to essential AWS services and common solutions. The course covers the fundamental AWS concepts related to compute, database, storage, networking, monitoring, and security. You will start working in AWS through hands-on course experiences. The course covers the concepts necessary to increase your understanding of AWS services, so that you can make informed decisions about solutions that meet business requirements. Throughout the course, you will gain information on how to build, compare, and apply highly available, fault tolerant, scalable, and cost-effective cloud solutions.

AWS Well-Architected Best Practices

The AWS Well-Architected Best Practices course will help you learn a consistent approach to evaluate architectures and implement designs from a live instructor. You’ll learn how to use the Well-Architected Review process and the AWS Well-Architected Tool to conduct reviews to identify high risk issues (HRIs). In this 1-day, classroom training course, you’ll learn to apply the five pillars of the AWS Well-Architected Framework—operational excellence, security, reliability, performance efficiency, and cost optimization—to understand the impact of design decisions. You’ll apply what you’ve learned during the course to each pillar of the Well-Architected Framework through tutorials, hands-on labs, discussions, demonstrations, presentations, and group exercises.

BigQuery for Data Analysts

This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision-making.

BlueXP Classification Analysis and Management

Learn how to use NetApp® BlueXP™ classification (powered by Cloud Data Sense) to classify and govern your data across your data estate. Explore the features and benefits of BlueXP classification and how it provides actionable insights into your data to address compliance requirements, detect security vulnerabilities, optimize costs, and accelerate cloud migration. Acquire the knowledge that you need to successfully use the data that is collected and classified. Gain the necessary skills to use BlueXP classification and its capabilities through reporting and Data Discovery Assessment.
Also learn about the BlueXP classification deployment best practices and troubleshooting (both BlueXP Connector and CDS Scanner). Finally, explore BlueXP classification use cases.

Browser Real User Monitoring with Cisco AppDynamics

The Browser Real User Monitoring with Cisco AppDynamics (EUM201) training provides end-to-end visibility on the performance of your websites, mobile applications, and Internet of Things (IoT) devices. This training covers the Browser Real User Monitoring (BRUM) and Browser Synthetic Monitoring components of End User Monitoring (EUM). You will learn to use BRUM from basic usage and troubleshooting to advanced configuration and custom data. You’ll also learn how to use Browser Synthetic Monitoring to monitor and optimize user experience and application performance, and how it compares to standard BRUM.

How You’ll Benefit

This training will help you:

– Gain tools to understand the performance of your websites, mobile applications, and IoT devices
– Gain leading-edge skills for high-demand responsibilities in the cloud computing industry

Build AI Apps with Azure Database for PostgreSQL

This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL – Flexible Server can enable you to build AI-powered apps.

Build Effective Dashboards with Cisco AppDynamics

The Build Effective Dashboards with Cisco AppDynamics (PRO520) training will teach you the common dashboard design types and styles as a foundation for designing dashboards in Cisco AppDynamics. You will collect requirements, produce wireframes, and configure dashboards to visualize data for monitoring ease and impact. You will add and configure widgets and data for Custom Dashboards as well as Dash Studio and learn dashboard management functions such as import/export and controlling user access.

How You’ll Benefit

This training will help you:

– Design and develop Cisco AppDynamics dashboards to meet the requirements of specific audiences
– Gain leading-edge skills for high-demand responsibilities in the cloud computing industry

Build machine learning solutions using Azure Databricks

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.

Build Modern Applications with AWS NoSQL Databases

This course is for developers, architects, and database engineers who want to build applications that involve complex data characteristics and millisecond performance requirements from their databases. In this course, you use AWS purpose-built databases to build a typical modern application with diverse access patterns and real-time scaling needs. By the end of the class, you should be able to describe advanced features of Amazon DynamoDB, Amazon DocumentDB (with Mongo compatibility), and Amazon ElastiCache for Redis.

Building Advanced Agentic Systems on AWS

In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering mulit-agent patterns, context optimization techniques, security configurations, and monitoring frameworks. You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations. The course prepares you to design and deploy advanced agentic systems ready for real-world production environment.

Building Agentic AI with Amazon Bedrock AgentCore

In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

Building Batch Data Analytics Solutions on AWS

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

Building Batch Data Pipelines on Google Cloud

In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.

Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.

Building Data Analytics Solutions Using Amazon Redshift

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.

Building Data Lakes on AWS

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

Building Resilient Streaming Analytics Systems on Google Cloud

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.

Building Streaming Data Analytics Solutions on AWS

In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.

C# Essentials with .NET 6 and Visual Studio 2022

Description C# Essentials is a practical, fast-paced course designed to bring experienced programmers up to speed with modern C# development. Focused on .NET 6, C# 10, and Visual Studio 2022, this three-day course explores how Microsoft’s unified platform simplifies application development across desktop, web, cloud, mobile, and IoT environments. Built on the cross-platform .NET Core

Cisco Enterprise Network Core Technologies (ENCOR) – Master Series

Instructor-led Training + E-learning + Exam Voucher

Unlock your potential with our comprehensive 5-week learning program designed to help you excel in the Cisco ENCOR certification and help you prepare to take the 350-401 Implementing Cisco® Enterprise Network Core Technologies (ENCOR) exam. This certification prepares you to design, implement, and manage complex enterprise networks, positioning you as a valuable asset to any organization leveraging advanced networking technologies.

Master Series Program Highlights:

– Duration: 5 weeks
– Format: Blend of instructor-led training and self-paced e-learning
– Self-paced Learning: 6-month access to self-paced learning path with labs on the Cisco U. platform, allowing you to engage with the material at your convenience. (Self-paced learning delivered 2 weeks before the first instructor-led session)
– Master Sessions: Weekly, virtual deep dive sessions into key topics with labs and Q&A, guided by industry’s top instructors. (Session length: 8 hours with an hour for lunch and short morning and afternoon breaks)
– Structured Curriculum: Our guided curriculum ensures comprehensive coverage of all key topics
– Exam Preparation workshop: Last week of the program will focus on exam prep that includes a practice exam for students to test their knowledge
– Exam Voucher: Included in your purchase, allowing you to take the ENCOR certification exam at the end of your program. (Valid for 1 year from issue. Exam voucher delivered 2 weeks before the first instructor-led session)
Key Topics Covered:

– Architecture: Network design principles and techniques.
– Virtualization: Implementing network virtualization technologies.
– Infrastructure: Configuring and troubleshooting network infrastructure.
– Network Assurance: Ensuring network performance, monitoring, and optimization.
– Security: Applying security principles and securing enterprise networks.
– Automation: Utilizing network automation to streamline operations.
This program helps you prepare to take the 350-401 Implementing Cisco® Enterprise Network Core Technologies (ENCOR) exam, which forms part of the requirements of these four certifications:

– CCNP® Enterprise: Cisco Certified Network Professional EnterpriseCCNP ENTERPRISE
– CCIE® Enterprise Infrastructure: CCIE Enterprise InfrastructureCCIE
– CCIE Enterprise Wireless: CCIE Enterprise WirelessCCIE
– Cisco Certified Specialist – Enterprise Core
Prepare to pass the ENCOR certification with confidence. This all-inclusive bundle offers exceptional value, combining flexible learning with dedicated support, all designed to fit your busy schedule.

Secure your spot in the Cisco Enterprise Network Core Technologies – Master Series today!

Price: 50 Cisco Learning Credit (CLC) per person.

(ENCOR Master Series is available for purchase with Cisco Learning Credits only)

Cisco Intersight Essentials

The Cisco Intersight Essentials training teaches you various aspects of Cisco Unified Computing System (UCS), including hardware, connectivity, and management. You will learn Cisco Intersight characteristics, licensing, and features, along with insights into server profile deployment and prerequisites for installing operating systems from Cisco Intersight.

This training prepares you for configuring, managing, and monitoring your network, computing, and storage assets. You will gain experience using features, such as Cisco Intersight Workload Optimizer (IWO), Cisco Intersight Cloud Orchestrator (ICO), and Cisco Intersight Virtualization Services (IVS). Also, you will become familiar with the Cisco Intersight Application Programming Interface (API) by using HashiCorp Terraform to automate Cisco Intersight configuration. This training also earns you 11 Continuing Education (CE) credits toward recertification.

How You’ll Benefit

This training will help you:

– Gain the needed skills to utilize Cisco Intersight
– Learn how to centralize configuration, management, and monitoring of the network, computing, storage, and cloud assets under a single pane of glass
– Boost knowledge for protocols, solutions, and designs to acquire professional-level and expert-level data center roles
– Earn 18 CE credits toward recertification

Cisco SDWAN Fundamentals

The Cisco SD-WAN Operation and Deployment (SDWFND) v2.0 course provides a comprehensive overview of the Cisco® Software-Defined WAN (SD-WAN) solution and Cisco SD-WAN components such as vManage, vSmart and vBond.

You will learn how to deploy, manage, and operate a secure, programmable, and scalable SD-WAN fabric using IOS XE Cisco SD-WAN products. The course also covers how to configure, operate, and monitor overlay routing across the Cisco SD-WAN network. In addition, you will learn about data and control policies, and how to deploy Quality of Service (QoS) and Direct Internet Access (DIA) in the SD-WAN overlay network.

How You’ll Benefit
This class will help you learn to use Cisco SD-WAN to:

– Establish transport-independent WAN for lower cost and higher diversity
– Meet SLAs for business-critical and real-time applications
– Provide end-to-end segmentation for protecting critical enterprise compute resources
– Extend seamlessly into the public cloud
– Optimize the user experience for Software-as-a-Service (SaaS) applications

Cisco Service Provider 5G Technologies Foundations

The Cisco Service Provider 5G Technologies Foundations (SPMBL100) v1.0 course introduces mobile network components, basic 5G concepts, and features of 5G technology including faster data speeds, higher device capacity, and improved user experience. You will examine the mobile packet core solutions, 5G transport architecture, and Cisco® automation and orchestration tools used in 5G networks. You will also learn about the Cisco 5G Non-standalone (NSA) and the Cisco Ultra Cloud Core 5G standalone (SA) platform solutions, the Cisco 5G converged Software-Defined Networking (SDN) transport architecture, and Cisco edge computing solutions. You will study the Cisco Network Function Virtualization (NFVI) architecture, Cisco Network Services Orchestrator (NSO), and Cisco Elastic Services Controller (ESC). You will learn how 5G is distributed with Telco Data Center (DC) with Cisco Application Centric Infrastructure (Cisco ACI®). And finally, Zero-Touch Provisioning (ZTP), Cisco Crosswork™, and the Cisco 5G security architecture will also be presented.

How you’ll benefit

This course will help you:

– Use the higher data speeds of 5G to access data more quickly and accommodate every device with increased capacity
– Learn how 5G technology delivers lower latency, higher device capacity, and a more uniform user experience

Cloud Digital Leader

If you’re wondering how the cloud can transform your business, then the Cloud Digital Leader training is for you. Designed to give you foundational knowledge about cloud technology, data, artificial intelligence, and Google Cloud products that enable digital transformation, CDL can empower you and your team(s) to contribute to cloud-related business initiatives in your organization.

Whether you’re an experienced leader or new to the cloud, CDL equips you with the tools and confidence to make a real difference.

Cloud Operations on AWS (formerly Systems Operations)

This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions.

Cloud Operations on AWS (formerly Systems Operations) with AWS Jam

Cloud Volumes ONTAP Troubleshooting

Learn how to work with and troubleshoot NetApp® Cloud Volumes ONTAP® for each supported public cloud provider.
Use hands-on experience to collect and analyze troubleshooting data to better triage and resolve issues

Configure and govern entitlement with Microsoft Entra ID

Use Microsoft Entra to manage access by using entitlements, access reviews, privileged access tools, and monitor access events.

Configure and migrate to Azure Database for PostgreSQL

Azure Database for PostgreSQL is a Platform as a Service database service in the Microsoft cloud. It bases itself on the PostgreSQL open-source relational database and includes built-in high availability, automatic backup and restore, as well as comprehensive security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling. In this learning path, you learn the main features of PostgreSQL and how they work in Azure Database for PostgreSQL. You learn about the different Azure Database for PostgreSQL implementation options, and how to configure a server for your needs.

Configure and operate Microsoft Azure Virtual Desktop AZ-140

This course teaches Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote apps, for any device, on Azure. Lessons include implementing and managing networking for Azure Virtual Desktop, configuring host pools and session hosts, creating session host images, implementing, and managing FSLogix, monitoring Azure Virtual Desktop performance and health, and automating Azure Virtual Desktop management tasks. Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Azure Virtual Desktop and optimizing them to run in multi-session virtual environments. Candidates of this course must have solid Azure administration skills. This course assumes prior experience, including virtualization, networking, identity, storage, backup and restore, and disaster recovery. Students should have knowledge of on-premises virtual desktop infrastructure technologies as they relate to migrating to Azure Virtual Desktop. Students are expected to have used the tools common to the Azure environment, such as the Azure PowerShell and Cloud Shell.

Configure secure access to your workloads using networking with Azure Virtual Network

In this learning path, you practice configuring secure access to workloads using Azure networking.

Configure SIEM security operations using Microsoft Sentinel

Get started with Microsoft Sentinel security operations by configuring the Microsoft Sentinel workspace, connecting Microsoft services and Windows security events to Microsoft Sentinel, configuring Microsoft Sentinel analytics rules, and responding to threats with automated responses.

Configure Windows Server Hybrid Advanced Services

This course teaches IT Professionals to configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to secure Azure VMs running Windows Server. The course also teaches IT Professionals how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights administrative tools and technologies including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor.

You could also consider taking these Applied Skills to emphasize hybrid administration tasks, such as managing Active Directory and configuring Azure Monitor. They are subsets of the AZ-801 certification. You can take the Applied Skills assessment as a focus area or for prep for the certification:

– Deploy and configure Azure Monitor (AZ-1004)
– Administer Active Directory Domain Services (AZ-1008)

Create and Manage Automated Processes by using Power Automate

Get started with Power Automate by create and manage automated processes with Power Automate. Including creating triggers for cloud flows, configuring actions, implementing conditional logic for a cloud flow, testing a cloud flow, creating and configuring approvals by using Power Automate, and sharing cloud flows.

Cybersecurity Essentials in Google Cloud

This course covers cybersecurity essentials, from foundational terms and frameworks to practical application on Google Cloud. You will learn to differentiate between traditional and modern AI-powered security, analyzing how AI accelerates threat detection, investigation, and response. Gain critical skills to protect cloud environments and evaluate the transformative impact of AI in security operations.

Data Engineering on AWS

Data Engineering on AWS is a 3-day intermediate course, designed for professionals seeking a deep dive into data engineering practices and solutions on AWS. Through a balanced combination of theory, practical labs, and activities, participants learn to design, build, optimize, and secure data engineering solutions using AWS services. From foundational concepts to hands-on implementation of data lakes, data warehouses, and both batch and streaming data pipelines, this course equips data professionals with the skills needed to architect and manage modern data solutions at scale.

Data Engineering on Google Cloud Platform

Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.

Data Engineering on Microsoft Azure – Exam Prep

Data Integration with Cloud Data Fusion

This 2-day course introduces learners to the data integration capability of Google Cloud using Cloud Data Fusion. In this course, we discuss the challenges of data integration and the need for a data integration platform (middleware). We then examine how
Cloud Data Fusion can help effectively integrate data from a variety of sources and formats and generate insights. We look at the main components of Cloud Data Fusion and how they work, how to process batch and streaming data in real time with visual pipeline design, rich metadata and data lineage tracking, and how to deploy data pipelines on various runtime engines.

Data Science Projects with Python

Description The “Data Science Projects with Python“ course aims to familiarize you with the Python environment tailored for data science tasks. It serves as a stepping stone in your quest to become proficient in various machine learning topics. These acquired skills will enable you to develop advanced predictive models, aligning with industry standards and delivering

Data Warehousing for Partners

This deep dive technical course provides technical training for Enterprise Data Warehouses (EDW) solutions using BigQuery.

The course provides guidance and training on technical challenges that can arise when migrating existing EDW and ETL pipelines to Google Cloud. Learners are provided with practical experience with real migration tasks, such as data migration, schema optimization, and SQL Query conversion and optimization.

The course also covers key aspects of ETL pipeline migration to Dataproc and using Pub/Sub, Dataflow, and Cloud Data Fusion.

Data Warehousing on AWS

In this course, you will learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. We will demonstrate how to collect, store, and prepare data for the data warehouse by using other AWS services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon Simple Storage Service (Amazon S3). We will also explore how to use business intelligence (BI) tools to perform analysis on your data.

Data-Driven Transformation with Google Cloud

Designed for leaders and business decision makers, this course will help you explore opportunities the cloud can provide to transform your business. You’ll learn how cloud technology, data, and machine learning applications are helping businesses
reimagine their daily work. You’ll uncover new possibilities in your data strategy and learn to think like a data engineer. You’ll also learn how to translate business challenges into machine learning use cases and vet them for feasibility and impact.

Defend against cyberthreats with Microsoft’s security operations platform SC-200

Learn how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender XDR and Microsoft Defender for Cloud. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Microsoft Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst.

This Applied Skill is to offer real-world experience in configuring and managing Microsoft Sentinel, a key responsibility in the SC-200 certification:

– Deploy and configure Azure Monitor (AZ-1004)

Deploy and administer Linux virtual machines on Azure

In this learning path, you prepare for the Applied Skill, Deploy and administer Linux virtual machines on Microsoft Azure.

Deploy and configure Azure Monitor

In this learning path, you practice implementing Azure Monitor to collect, analyze and act on monitoring telemetry from Azure environments. You learn to configure and interpret monitoring for virtual machines, networking, and web applications.

Deploy and manage Azure Arc-enabled Servers

In this learning path, you’re introduced to Azure Arc-enabled servers. You’ll cover Arc-enabled server deployment, updates to Arc-enabled servers using Azure Update Manager and configuring Microsoft Defender for Cloud for Azure Arc-enabled servers.

Deploy cloud-native apps using Azure Container Apps

Develop the skills necessary to configure a secure deployment solution for cloud-native apps. Learn how to build, deploy, scale, and manage containerized cloud-native apps using Azure Container Apps, Azure Container Registry, and Azure Pipelines.

Design and Implement Microsoft Azure Network Solutions

This course teaches Network Engineers how to design, implement, and maintain Azure networking solutions. This course covers the process of designing, implementing, and managing core Azure networking infrastructure, Hybrid Networking connections, load balancing traffic, network routing, private access to Azure services, network security and monitoring. Learn how to design and implement a secure, reliable, network infrastructure in Azure and how to establish hybrid connectivity, routing, private access to Azure services, and monitoring in Azure.

You could consider taking these Applied Skills to emphasize key skills like monitoring and security, which are essential for network engineers. Use them to bridge to practical, real world skills application. You can take the Applied Skills assessment as a focus area or prep for the certification:

– Deploy and configure Azure Monitor (AZ-1004)
– Secure Azure services and workloads with Microsoft Defender for Cloud regulatory compliance controls (SC-5002)

Design and Implement Platform Engineering

This learning path provides a comprehensive guide to designing and implementing platform engineering within modern enterprises. It covers the foundational principles, strategic alignment with business goals, and the practical aspects of building scalable, secure, and future-proof platforms. By following this path, learners will gain the knowledge and skills needed to enhance developer productivity, ensure operational excellence, and drive continuous innovation.

Design and Manage Analytics Solutions Using Power BI

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Design Microsoft Azure Infrastructure Solutions

This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.

Designing and implementing a data science solution on Azure DP-100

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.

Designing and Implementing a Microsoft Azure AI Solution – Exam Prep

Designing and Implementing Cloud Connectivity

The Designing and Implementing Cloud Connectivity (ENCC) training helps you develop the skills required to design and implement enterprise cloud connectivity solutions. You will learn how to leverage both private and public internet-based connectivity to extend the enterprise network to cloud providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). You will explore the basic concepts surrounding public cloud infrastructure and how services like Software as a Service (SaaS), Direct Internet Access (DIA), and Cisco Umbrella can be integrated. You will practice how to analyze and recommend connectivity models that are scalable, resilient, secure, and provide the best quality of experience for users. You will learn to implement both Internet Protocol Security (IPsec) and Software-Defined Wide-Area Network (SD-WAN) cloud connectivity, as well as build overlay routing with Open Shortest Path First (OSPF) and Border Gateway Protocol (BGP). You will also implement control and data policies across the SD-WAN fabric and integrate Cisco Umbrella cloud security. Finally, you will practice troubleshooting cloud connectivity issues relating to IPsec, SD-WAN, routing, application performance, and policy application.

This training prepares you for the 300-440 ENCC v1.0 exam. If passed, you earn the Cisco Certified Specialist–Enterprise Cloud Connectivity certification and satisfy the concentration exam requirement for the Cisco Certified Network Professional (CCNP) Enterprise certification.

How You’ll Benefit

This training will help you:

– Develop the skills required to design and implement enterprise cloud connectivity solutions
– Learn how to apply the virtual private network (VPN) and overlay networking technology, including Cisco Catalyst SD-WAN to extend the enterprise network to cloud providers, such as AWS, Microsoft Azure, and GCP using both private connectivity services and public internet as an underlay
– Examine the solutions for optimizing access to SaaS cloud providers and the workflows for diagnosing and troubleshooting cloud connectivity issues
– Gain knowledge for protocols, solutions, and designs to acquire professional-level and expert-level enterprise roles
– Prepare for the 300-440 ENCC v1.0 exam
– Earn 32 CE credits toward recertification
What to Expect in the Exam

300-440 ENCC: Designing and Implementing Cloud Connectivity is a 90-minute exam associated with the Cisco Certified Specialist–Enterprise Cloud Connectivity certification and satisfies the concentration exam requirement for the CCNP Enterprise certification.

The multiple-choice format tests your knowledge of designing and implementing cloud connectivity, including:

– Architecture models
– IPsec
– SD-WAN
– Operation
– Design

Designing and Implementing Microsoft Azure Networking Solutions – Exam Prep

Designing and Implementing Storage on AWS

AWS offers a broad portfolio of storage services and solutions with diverse capabilities for storing, accessing, and protecting your data. In this course, you will learn where, how, and when to take advantage of these different service offerings. You will learn which services to consider when looking to solve your data storage challenges. You will learn how to best evaluate your options in selecting the appropriate AWS storage service to meet your use case and business requirements. You will also gain a better understanding of how to store, manage, and protect your data in the cloud. Through a series of hands-on exercises that demonstrate the ease and power of AWS platform, you will learn how to quickly provision powerful storage solutions in minutes.

This course includes presentations, hands-on labs, demonstrations, and group exercises.

Designing Microsoft Azure Infrastructure Solutions – Exam Prep

Develop AI agents on Azure

Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

Develop AI information extraction solutions in Azure

In this learning path, you ll see how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. You ll also learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. You ll learn how to:

– Design a solution that analyzes your business forms by using Azure AI Document Intelligence.
– Create a solution that analyzes common documents by using Document Intelligence.
– Create a solution that analyses different custom form types by using Document Intelligence.
– Include an Azure AI Document Intelligence service as a custom skill in an Azure Cognitive Search pipeline.
This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.

Develop AI solutions in Azure AZ-102

AI-102: Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.

You could also consider taking these these Applied Skills to validate practical experience in specific AI workloads. They are subsets of the AI-102 certification. If you only need to focus on one type of AI solution (e.g. Computer Vision) look at taking the relevant Applied Skill credential alongside the certification course. You can take the Applied Skills assessment as a focus area or for prep for the certification:

– Develop AI information extraction solutions in Azure (AI-3002)
– Develop natural language solutions in Azure (AI-3003)
– Develop computer vision solutions in Azure (AI-3004)

Develop computer vision solutions in Azure

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI includes multiple services that support common computer vision scenarios.

Develop Conversational Agents on Google Cloud

Conversational Agents, part of AI Applications, is an intelligent, conversational (GUI) interface. Conversational Agents uses an AI development system with access to SDKs and APIs in multiple languages. In this course, you will learn how to leverage Conversational Agents to design and build conversational agents on Google Cloud.

Develop generative AI apps in Azure

Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models to chat with your users.

Develop Generative AI solutions using Azure OpenAI and the Semantic Kernel SDK

Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.

Develop natural language solutions in Azure

Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications, and explore Azure AI Foundry to use generative models for speech.

Develop Solutions for Microsoft Azure AZ-204

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

You could also consider this Applied Skill to provide real-world experience with cloud native applications, focusing on containerized app development: Deploy cloud-native apps using Azure Container Apps (AZ-2003)

Developing APIs with Google Cloud’s Apigee API platform

Learning Objectives Identify the purpose and value of Google Cloud’s Apigee API Platform. Develop a good understanding of Google Cloud’s Apigee API Platform terminology and organizational model. Interact with Google Cloud’s Apigee API Platform. Solve scenarios by leveraging APIs, recommended practices, and an API-first strategy. Understand and put in practice the API lifecycle. Identify capabilities

Developing Applications with Cloud Run Functions on Google Cloud

In this course, you learn about Cloud Functions, Google’s serverless, fully-managed functions as a service (FaaS) product. With Cloud Functions, you implement single-purpose functions that respond to HTTP requests and process events from your cloud infrastructure.

Developing Applications with Cloud Run on Google Cloud: Fundamentals

This course introduces the Cloud Run serverless platform for running applications. In this course, you learn about the fundamentals of Cloud Run, its resource model, and the container lifecycle. You learn about service identities, how to control access to services, and how to develop and test your application locally before deploying it to Cloud Run. The course also teaches you how to integrate with other services on Google Cloud so you can build full-featured applications.

Developing Applications with Google Cloud

Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.

Developing Generative AI Applications on AWS

In this advanced two-day course, software developers learn to build and customize AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on the practical implementation of prompt engineering techniques, responsible AI practices with Amazon Bedrock Guardrails, open source framework integration, and architectural patterns for real-world business applications.

Developing on AWS

Learning Objectives Developing on AWS helps developers understand how to use the AWS SDK to develop secure and scalable cloud applications. The course provides in-depth knowledge about how to interact with AWS using code and covers key concepts, best practices, and troubleshooting tips. This course teaches you how to: Set up the AWS SDK and

Developing on AWS with AWS Jam

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment, adding business logic to process data using AWS core services, configure user authentications, deploy to AWS cloud, and debug to resolve application issues. The course includes code examples to help you implement the design patterns and solutions discussed in the course. The labs reinforce key course content and help you to implement solutions using the AWS SDK for Python, .Net, and Java, the AWS CLI, and the AWS Management Console.

Developing Serverless Solutions on AWS

This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You’ll use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom.

Developing solutions for Microsoft Azure – Exam Prep

DevOps Engineering Foundation® (DOEF) Certification Training

Description DevOps presents a complex landscape that often leaves many leaders feeling overwhelmed. Numerous enterprises find themselves grappling with their DevOps endeavors, unsure of where to commence or how to navigate the intricate maze. Successfully engineering a DevOps solution requires a deep understanding of each organization’s layers of people, processes, and technologies. Unlike a commodity

DevOps Engineering on AWS

Learning Objectives DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small-medium business, and enterprise development scenarios. This course is designed to teach

DevOps Engineering on AWS with AWS Jam

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers Continuous Integration (CI), Continuous Delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.

DevOps Foundations: The Core Principles and Practices

Explore DevOps practices using GitHub. Your development and operations teams will experience improved collaboration, agility, continuous integration, continuous delivery, automation, and operational excellence throughout all phases of the application lifecycle.

Discovery Day- Fundamentals of a Modern Data Strategy on AWS

Organizations need a data strategy to succeed, but there’s no one-size fits all approach. Every organization will have unique objectives and obstacles. Join this event to learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.

– Level: Fundamental
– Duration: 1.5 hours
We recommend that attendees of this event continue learning with these:

– Courses

– Building Data Analytics Solutions Using Amazon Redshift (BDASAR)
– Building Data Lakes on AWS (BDLA)
– Data Warehousing on AWS (DWAWS)
– (!)
– Resources

– AWS Ramp-Up Guide: Data Analytics
– AWS Ramp-Up Guide: Databases

Discovery Day- Strategies and Tools to Perform Large-Scale Migrations

Learn about the AWS strategy and best practices for performing large-scale cloud migrations. Built from the experiences of helping hundreds of enterprise organizations move to the cloud, these proven techniques and tools will help accelerate your successful journey to the AWS Cloud.

– Level: Fundamental
– Duration: 1.5 hours
We recommend that attendees of this event continue learning with these:

– Courses

– Migrating to AWS (AWSM)
– Resources

– AWS Ramp-Up Guide: Migration

Empower Decision Makers with Generative AI

This course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations. You’ll gain a comprehensive understanding of this technology, learn how it can be leveraged to drive innovation and efficiency, and explore the range of generative AI services available on Google Cloud. By the end of this course, you’ll be equipped to make informed decisions about implementing AI solutions.

Engineering Cisco Meraki Solutions

The Engineering Cisco Meraki Solutions training helps you gain the core knowledge and skills needed to deploy, plan, design, implement, and operate complex Cisco Meraki solutions. This training combines Engineering Cisco Meraki Solutions Part 1 and 2 trainings. This training helps prepare you for roles focused on implementing, securing, and managing Cisco Meraki™ based networks from a centralized dashboard. Topics covered include Cisco Meraki’s cloud-based solutions, understanding of network security protocols, design of scalable architectures, and application of troubleshooting strategies.

This training prepares you for the Cisco Meraki Solutions Specialist (ECMS 500-220) exam. If passed, you earn the Cisco Meraki Solutions Specialist certification.

How You’ll Benefit

This training will help you:

– Gain a comprehensive understanding of the Cisco Meraki platform
– Develop expertise in designing, implementing, and securing Cisco Meraki networks
– Operate and manage networks using Cisco Meraki’s cloud-based tools and features
– Apply advanced monitoring and troubleshooting techniques
– Prepare for the ECMS 500-220 exam
– Earn 24 CE credits towards recertification
What to Expect in the Exam

Cisco Meraki Solutions Specialist (ECMS 500-220) is a 90-minute exam associated with the Cisco Meraki Solutions Specialist certification.

The exam tests your knowledge and skills to engineer Meraki solutions, including:

– Cloud management
– Design
– Implementing
– Monitoring
– Troubleshooting

Enterprise Database Migration

This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs
participants move databases to GCP while taking advantage of various GCP services.

This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.

Essentials of Monitoring Critical Systems

This course provides an overview of Google Cloud Monitoring, focusing on how to effectively monitor cloud systems. Participants will learn to use cloud Monitoring to view metrics across multiple cloud projects, understand different dashboard and chart types, create uptime checks, and utilize MQL for advanced monitoring.

Exam Prep: AWS Certified AI Practitioner (AIF-C01)

Exam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS Certified AI Practitioner (AIF-C01) exam. The AWS Certified AI Practitioner (AIF-C01) exam validates in-demand knowledge of AI, machine learning (ML), and generative AI concepts and use cases.

This intermediate-level course prepares you for the AWS Certified AI Practitioner (AIF-C01) exam by providing a comprehensive exploration of the exam topics. You’ll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS platform. Through detailed explanations and walkthroughs of exam-style questions, you’ll reinforce your knowledge, identify gaps in your understanding, and gain valuable strategies for tackling questions effectively. The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you’ll have a firm grasp on the concepts and practical applications tested on the AWS Certified AI Practitioner certification exam.

Exam Prep: AWS Certified Cloud Practitioner

In this 1-day instructor-led training course, you will prepare for the AWS Certified Cloud Practitioner (CLFC02) exam. This course helps you understand what is important for the exam, how to approach different question types, and how to identify common misconceptions that appear on the test. The instructor will guide you through exam-focused reviews of each domain, highlighting frequently tested concepts, clarifying easily confused topics, and providing strategic approaches to question analysis. Through
targeted practice with exam-style questions, you will develop the specific knowledge and test-taking skills needed to succeed on the certification exam.

This course includes presentations, discussions, and guided practice with exam-style questions and scenario-based discussions. Each content module includes section slides aligned to the task statements in the domain followed by a walkthrough section of relevant questions.

Exam Prep: AWS Certified Data Engineer – Associate (DEA-C01)

In this 1-day instructor-led training course, you will prepare for the AWS Certified Data Engineer – Associate (DEA-C01) exam. This course helps you understand what is important for the exam, how to approach different question types, and how to identify common misconceptions that appear on the test. The instructor will guide you through exam-focused reviews of each domain, highlighting frequently tested concepts, clarifying easily confused topics, and providing strategic approaches to question analysis.
Through targeted practice with exam-style questions, you will develop the specific knowledge and testtaking skills needed to succeed on the certification exam.

Exam Prep: AWS Certified Machine Learning Engineer – Associate (MLA-C01)

Exam Prep: AWS Certified Machine Learning Engineer – Associate (MLA-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam. The exam validates a candidate’s ability to build, operationalize, and maintain machine learning (ML) solutions and pipelines by using the AWS Cloud.

This intermediate-level course prepares you for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam by providing a comprehensive exploration of the exam topics. You’ll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS platform. Through detailed explanations and walkthroughs of exams tyle questions, you’ll reinforce your knowledge, identify gaps in your understanding, and gain valuable strategies for tackling questions effectively. The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you’ll have a firm grasp on the concepts and practical applications tested on the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam.

Fast Track: Microsoft Windows Server Hybrid Administrator Associate

This five-day FastTrack course (AZ800 and AZ801) is designed for IT professionals who configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. These professionals manage and support an infrastructure that includes on-premises and Windows Server-based workloads hosted on Azure IaaS. The course teaches IT professionals how to leverage Azure’s hybrid capabilities, migrate virtual and physical server workloads to Azure IaaS, and manage and secure Azure VMs with Windows Server. The course also covers performing tasks related to high availability, troubleshooting, and disaster recovery. The course highlights various administrative tools and technologies, including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor.

Gemini Code Assist – Essentials

This course provides a comprehensive overview of Gemini Code Assist, an AI-powered tool designed to enhance software development workflows. Participants will learn how Gemini Code Assist can improve coding efficiency, reduce errors, and accelerate the software delivery lifecycle.

The course will cover core features such as code completion, code generation, and smart actions, along with best practices for integrating Gemini Code Assist into development environments. Fundamental concepts in AI-assisted coding and software development lifecycle optimization will be covered, along with practical demonstrations.

Gemini Enterprise and NotebookLM Essentials

This course provides an introduction to Gemini Enterprise and NotebookLM Enterprise, AI-powered tools designed to enhance information discovery, knowledge management, and productivity within organizations. Participants will learn how to leverage Gemini Enterprise to extract insights from enterprise data and build custom applications. The course also covers NotebookLM Enterprise, focusing on its features for analyzing and synthesizing information from various sources.

Generative AI Essentials on AWS

In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.

Generative AI for Executives

In this course, you will learn how to leverage generative artificial intelligence (AI) within your organization. We’ll cover how to drive business value with generative AI, the use cases across various industries, and the considerations to implement generative AI safely and responsibly. The goal of this course is to provide you with the fundamental concepts and tools you’ll need to successfully lead generative AI initiatives within your organization.

Generative AI in Production

In this course, you learn about the different challenges that arise when productionizing generative AI-powered applications versus traditional ML. You will learn how to manage experimentation and tuning of your LLMs, then you will discuss how to deploy, test, and maintain your LLM-powered applications. Finally, you will discuss best practices for logging and monitoring your LLM-powered applications in production.

Generative AI Leader

In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.

Get started with Azure Cosmos DB NoSQL development

This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.

Getting Started with FinOps on Google Cloud

This course is an interactive learning experience designed to provide an actionable set of steps to help your organizations implement a Cloud Financial Management strategy to maximize your cloud investment with Google Cloud. In this class, you will walk through the five pillars of Google Cloud FinOps and understand how your organization can work to implement these pillars in their own FinOps approach.

Getting Started with Google Kubernetes Engine

This course introduces participants to creating and deploying containerized applications on Google Kubernetes Engine (GKE). Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods and containers.

Getting Started with Terraform for Google Cloud

This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as a code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building Google Cloud resources using Terraform.

Google Cloud Fundamentals for Researchers

In this course you will learn how to use various tools in Google Cloud to ingest, manage and leverage your data to derive insights in your research. You will be introduced to tools used on Google Cloud by researchers, then you will learn how to ingest your unstructured and structured data into Cloud Storage and BigQuery respectively. Next, you will learn how to curate your data and understand costs in Google Cloud. Finally you will learn how to leverage notebook environments and other Google Cloud tools for descriptive and predictive analysis.

Google Cloud Fundamentals: Core Infrastructure

This course uses lectures and labs to give you an overview of Google Cloud products and services. You learn about the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.

Google Cloud Infrastructure for AWS Professionals

This is a course for cloud architects and engineers with existing AWS knowledge that compares Google Cloud solutions with AWS and guides professionals on their use. In this course, you’ll apply the concepts and technologies knowledge in AWS to explore the similarities and differences with concepts and technologies in Google Cloud. You’ll get hands-on practice building and managing Google Cloud resources.

Google Kubernetes Engine for Developers – Essentials

This course provides a comprehensive introduction to Google Kubernetes Engine (GKE) and its essential concepts for cloud developers. Participants will explore containerization with Docker, Kubernetes architecture, and GKE deployment best practices. The course includes hands-on activities and demos to facilitate practical understanding and skill development in deploying and managing containerized applications on Google Cloud.

Implement a Data Analytics Solution with Azure Databricks

This course explores how to use Databricks and Apache Spark on Azure to take data projects from exploration to production. You’ll learn how to ingest, transform, and analyze large-scale datasets with Spark DataFrames, Spark SQL, and PySpark, while also building confidence in managing distributed data processing. Along the way, you’ll get hands-on with the Databricks workspace—navigating clusters and creating and optimizing Delta tables. You’ll also dive into data engineering practices, including designing ETL pipelines, handling schema evolution, and enforcing data quality. The course then moves into orchestration, showing you how to automate and manage workloads with Lakeflow Jobs and pipelines. To round things out, you’ll explore governance and security capabilities such as Unity Catalog and Purview integration, ensuring you can work with data in a secure, well-managed, and production-ready environment.

Implement data engineering solutions using Microsoft Fabric

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.

Implement Generative AI engineering with Azure Databricks

Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform’s capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark’s scalability and Azure Databricks’ collaborative environment, you can design complex AI systems.

Implement information protection and data loss prevention by using Microsoft Purview

Gain the skills to use Microsoft Purview to improve your data security in Microsoft 365. In this training, you learn how to create sensitive information types, create sensitivity labels, and use auto-labeling policies based on these labels. You also learn how to set up DLP (Data Loss Prevention) policies to safeguard your organization’s data.

Implement knowledge mining with Azure AI Search

Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them.

Implement scalable database solutions using Azure SQL DP-300

This course provides students with the knowledge and skills to create a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.

You could also consider this this Applied Skills if you need to demonstrate the skills required to migrate on-premise SQL workloads to Azure. If you have already achieved the DP-300 certification and are in-role as a DBA preparing for a migration project, leverage the Applied Skill credential so you can demonstrate validated experience of migrating a database.

– Migrate SQL Server workload to Azure SQL (DP-3001)

Implement security through a pipeline using Azure DevOps

This learning path helps you prepare for the Implement security through a pipeline assessment using Azure DevOps. Learn how to configure and secure Azure Pipelines. You ll also get opportunities to practice hands-on skills. These skills include configuring secure access to pipeline resources, configuring, and validating permissions, configuring a project and repository structure, extending a pipeline, configuring pipelines to use variables and parameters securely, and managing identity for projects, pipelines, and agents.

Implementing Cisco Catalyst 9000 Switches

The Implementing Cisco Catalyst 9000 Series Switches (ENC9K) v4.0 course provides you with insight into Cisco Catalyst 9000 Series Switches and its solution components. You will learn about the architecture, capabilities, positioning, and implementation of the Cisco Catalyst 9000 Series switches, as well as the management of the switches using CLI, Cisco DNA Center, and IOS-XE web user GUI. Additionally, you will be introduced to security, cloud, automation, and other important features of Cisco Catalyst 9000 Series switches.

How you’ll benefit

This course will help you:

– Prepare for successful deployment of the Cisco Catalyst 9000 Series Switches
– Understand the role of Cisco Catalyst 9000 Series Switches in the SD-Access fabric
– Learn to provision Cisco Catalyst 9000 Series Switches using Cisco DNA center as the orchestration platform
– Gain hands-on practice through in-depth lab exercises

Implementing Cisco Collaboration Cloud and Edge Solutions

The Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI) training provides you with an understanding of Cisco Expressway Series solutions, such as B2B calls, Cisco Mobile and Remote Access for remote workers, authentication options, and additional Cisco Expressway Series features. Topics covered also include details about the Webex solutions, and the benefits of hybrid integrations between Cisco on-premises solutions and Webex Meetings in the cloud. This training also earns you 40 Continuing Education (CE) credits towards recertification.

This training helps prepare you to take the exam:

300-820 Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI)

How You’ll Benefit

This course will help you:

– Acquire the knowledge and skills to use the tools and systems designed to facilitate team-based collaboration whether in-office or remote.
– Gain hands-on experience in using Cisco Expressway software for secure, remote access for phones, endpoints, smartphones, tablets, video, and other communication devices to support nontraditional workspaces.

Implementing Cisco Converged SDN Transport Solution

The Implementing Converged SDN Transport Solutions (SPSDNTXP) v1.0 course introduces you to Software-Defined Networking (SDN)-ready architecture. This architecture evolves traditional Metro network design into an SDN-enabled programmable network capable of delivering all services (residential, business, 5G mobile backhauling, video, and IoT) on the premise of simplicity, full programmability, and cloud integration with guaranteed service level agreements (SLAs).

You will examine the evolution of service provider design principles such as Unified Multiprotocol Label Switching, Evolved Programmable Networks, and the Cisco® Compass Metro Fabric. Additionally, you’ll explore and configure individual components of the design including segment routing and its supporting features.

This course will help you:

– Describe the Converged SDN Transport solution
– Describe the basic implementation of SDN component features
– Establish a foundation to take a deeper dive into SDN solutions

Industry Use Cases for Generative AI

In this course, you explore generative AI (Gen AI) use cases across specific industries using Google Cloud. After discussing generative AI in general, you will do a deep dive into two generative AI use cases and then explore your own use case within the same framework. This course targets professionals across different roles, including business analysts, data scientists, software developers, business users, and decision-makers, who are specifically interested in leveraging generative AI for business solutions.

Install Application and Machine Agents for Cisco AppDynamics

The Install Application and Machine Agents for Cisco AppDynamics (IMP862) training teaches you the architecture of agents, and how to install and troubleshoot the installation of Java, .NET, Dynamic App, and Machine agents. You’ll also learn how to troubleshoot installation issues using log files, allocate licenses, name agents, automate agent deployment, and find and install machine agent extensions.

How You’ll Benefit

This training will help you:

– Learn about the architecture of agents, including installation and troubleshooting
– Gain leading-edge skills for high-demand responsibilities in the cloud computing industry

Installing and Managing Google Cloud’s Apigee API Platform for Private Cloud

Integrating Hybrid Clouds Foundation

Explore the features and benefits of the NetApp Cloud Volumes ONTAP solution. Examine the architecture and functionality of NetApp ONTAP storage in the cloud. Finally, learn how to configure, deploy, and manage the Cloud Volumes ONTAP solution by using NetApp BlueXP.

Integrating Hybrid Clouds with AWS

Learn to implement a hybrid cloud solution with Amazon Web Services (AWS) by using NetApp Cloud Volumes ONTAP. Connect a Virtual Private Cloud (VPC) and an on-premises data center to unify your infrastructure. Use NetApp BlueXPTM to move data and manage storage in the hybrid cloud. Learn how NetApp cloud services are integrated into BlueXP to provide enhanced data protection, security, and compliance. Learn how to optimize the capacity and performance of Cloud Volumes ONTAP.

Integrating Hybrid Clouds with Google Cloud

Learn to implement a hybrid cloud solution with Google Cloud by using NetApp® Cloud Volumes ONTAP®. Connect a Virtual Private Cloud (VPC) and an on-premises data center to unify your infrastructure. Use NetApp Cloud Manager to move data and manage storage in the hybrid cloud. Learn about how NetApp cloud services are integrated into Cloud Manager to provide enhanced data protection, security, and compliance. Learn to optimize capacity and performance of Cloud Volumes ONTAP

Integrating Hybrid Clouds with Microsoft Azure

In this course, you learn to implement a Hybrid Cloud solution with Microsoft Azure by using NetApp® Cloud Volumes ONTAP®. You connect an Azure Virtual Network (VNet) and an on-premises data center to unify your infrastructure. You use NetApp BlueXP™ (formerly Cloud Manager) to move data and manage storage in the hybrid cloud. You learn how NetApp cloud services are integrated into BlueXP to provide persistent storage for Kubernetes containers and enhance data protection, security, and compliance. You also learn to optimize the capacity and performance of Cloud Volumes ONTAP.

Introduction to AI and Machine Learning on Google Cloud

This course introduces Google Cloud’s AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AIprojects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

Introduction to AI in Azure AI-900

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Introduction to APM for Cisco AppDynamics

The Introduction to APM for Cisco AppDynamics (APM210) training provides an overview of Cisco AppDynamics and introduces you to the key features of the Application Performance Monitoring (APM) platform. Once you know your way around, you’ll learn to troubleshoot common performance issues in your application, as well as several advanced troubleshooting tools and techniques. You’ll also get familiar with some powerful monitoring tools that will help you keep your application running in top form.

How You’ll Benefit

This training will help you:

– Understand and utilize key features of Cisco AppDynamics and APM
– Gain leading-edge skills for high-demand responsibilities in the cloud computing industry

Introduction to Data Analytics on Google Cloud

This course is an introduction to data analytics on Google Cloud. It is designed for learners who have no prior experience with data analytics or Google Cloud. The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud’s data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

Introduction to Data Engineering on Google Cloud

In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

Introduction to Developer Efficiency on Google Cloud

In this course, you are introduced to how generative AI can be used to make developers more efficient at writing code with Gemini Code Assist and implementing new features into applications. You will explore how Gemini Cloud Assist can help you to architect your applications and investigate issues that arise. Finally, you will put everything together into an end-to-end workflow.

Introduction to DevOps with Docker

Description The course outlines the power of containerization and the influence this innovation has on development teams and general operations. We also get to understand what DevOps really is, the principles involved and how the process contributes to product health, by implementing a Docker workflow. Docker is an open source containerization tool, that makes it

Introduction to DevOps with Kubernetes

Description Kubernetes and DevOps are the two pillars that can keep your business at the top by ensuring high performance of your IT infrastructure. Introduction to DevOps with Kubernetes will help you develop the skills you need to improve your DevOps with the power of Kubernetes. The course begins with an overview of Kubernetes primitives

Introduction to DevOps with Kubernetes

Description This Kubernetes Administration course is designed to equip participants with the in-depth knowledge and practical skills necessary for the efficient administration of Kubernetes clusters. Covering a broad range of topics from core concepts and installation to advanced application lifecycle management and security, this course is structured to address the needs of both beginners and

Introduction to Gemini Enterprise

This course introduces Gemini Enterprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges. Through real-world examples, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture,
and explain how it handles data access and privacy across roles.

Introduction to Generative AI for Decision Makers

This course is designed for business users, business leaders, and, more generally, decision makers within organizations who are seeking to gain a comprehensive understanding of generative AI and its potential impact on their businesses. The overall goal of the course is to educate decision makers on the potential impact generative AI can have in their organizations, educate them about generative AI services on Google Cloud and to inspire decision makers to start thinking about what is possible with generative AI technologies.

Introduction to Git

Description Software developers, data scientists, and technical writers all leverage the power of Git, an essential component of a modern workflow. Knowing what’s changing and coordinating with colleagues and clients is vital. Whether you’re a beginner eager to learn the basics or an experienced coder seeking a solid foundation, our expert-led exercises and real-world examples

Introduction to HTML and CSS

Description This course serves as a quick HTML and CSS primer for students who need basic knowledge of these technologies. By learning the fundamentals of these languages, students will have a better understanding of how modern websites are built. The course covers various topics, including the basics of HTML, CSS syntax and selectors, typography, colors,

Introduction to Microsoft 365 MS-900

This course introduces Microsoft 365, an integrated cloud platform that delivers industry-leading productivity apps along with intelligent cloud services, and world-class security. You’ll learn foundational knowledge on the considerations and benefits of adopting cloud services and the Software as a Service (SaaS) cloud model, with a specific focus on Microsoft 365 cloud service offerings. You will begin by learning about cloud fundamentals, including an overview of cloud computing. You will be introduced to Microsoft 365 and learn how Microsoft 365 solutions improve productivity, facilitate collaboration, and optimize communications. The course then analyzes how security, compliance, privacy, and trust are handled in Microsoft 365, and it concludes with a review of Microsoft 365 subscriptions, licenses, billing, and support.

Introduction to Microsoft Azure Data DP-900

In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization.

Introduction to Microsoft Security, Compliance, and Identity SC-900

This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions.

ITIL® 4 Specialist: High-Velocity IT Training

Description In the evolving landscape where organizations leverage information and related technologies to redefine their business approaches, the imperative to swiftly introduce new products and services for competitive edge intensifies. To thrive in this high-velocity environment, organizations must significantly enhance their agility, speed, cost-effectiveness, and responsiveness. The ITIL 4 Specialist: High-Velocity IT (HVIT) course delves

Kubernetes Administration

Learn about the basic administration tasks of managing a Kubernetes cluster. Use the kubectl and kubeadm command-line tools and an integrated development environment (IDE) to provision cluster and network resources. Explain the configuration and deployment of basic workload objects and common Kubernetes cluster tasks. This course was written for the Kubernetes 1.29 release.

Kubernetes Extensions and Design Patterns

Description Kubernetes is an open source platform that automates the scaling, deployment, and management of container-based applications. This is a 1-day course which balances theory and hand-on applications that are focused on practical takeaways. The course starts by explaining the basics of container orchestration and then moves on to explain how the components of a

Kubernetes Fundamentals and Cluster Operations

This four-day course is the first step in learning about Containers and Kubernetes Fundamentals and Cluster Operations. Through a series of lectures and lab exercises, the fundamental concepts of containers and Kubernetes are presented and put to practice by containerizing and deploying a two-tier application into Kubernetes.

Leading Change When Moving to Google Cloud

Moving to the cloud can bring tremendous business benefits, but it’s also a big change for your employees and requires the right management approach. In this course, you’ll learn how to lead your team through a Google Cloud migration so that you can realize the platform’s full potential. You’ll explore ways to lead by example and the psychology behind people’s reactions to change. You’ll also learn about the framework Google Cloud has created to help you manage this change so that you can inspire your team and move them toward your cloud goals.

Logging, Monitoring, and Observability in Google Cloud

Learning Objectives This course teaches participants the following skills: Plan and implement a well-architected logging and monitoring infrastructure Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs) Create effective monitoring dashboards and alerts Monitor, troubleshoot, and improve Google Cloud infrastructure Analyze and export Google Cloud audit logs Find production code defects, identify bottlenecks, and

Machine Learning Engineering on AWS

Machine Learning (ML) Engineering on Amazon Web Services (AWS) is a 3-day intermediate course designed for ML professionals seeking to learn machine learning engineering on AWS. Participants learn to build, deploy, orchestrate, and operationalize ML solutions at scale through a balanced combination of theory, practical labs, and activities. Participants will gain practical experience using AWS services such as Amazon SageMaker AI and analytics tools such as Amazon EMR to develop robust, scalable, and production-ready machine learning applications.

Machine Learning on Google Cloud

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering.

Manage business solutions with Microsoft Dynamics 365 Business Central

Built and optimized for small and medium businesses, Dynamics 365 Business Central is an application for companies that have outgrown their entry-level business applications. Growing businesses often outgrow their basic accounting software or legacy enterprise resource planning (ERP) systems that are unable to handle increased inventory and transactions, lack integration with other line-of-business systems, and have reporting limitations. Businesses are also challenged with the logistics of providing services that have more scalability, increased mobility, and availability in the cloud. With Business Central, you can manage your financials, automate and secure your supply chain, sell smarter, improve customer service and project performance, and optimize your operations.

Management of Portfolios Foundation and Practitioner

Management of Portfolios (MoP) provides advice and examples of how to apply principles, practices, and techniques that together enable the most effective balance of organisational change and business as usual. Delivered by fully accredited trainers and industry leading experts with extensive experience of portfolio management, the course engages with the students to ensure that theory is embedded and delegates feel confident in the practical application of MoP.

Managing a Data Mesh with Dataplex

Dataplex is an intelligent data fabric that enables organizations to centrally discover, manage, monitor, and govern their data across data lakes, data warehouses, and data marts. You can use Dataplex to build a data mesh architecture to decentralize data ownership among domain data owners.

In this course, you will learn how to discover, manage, monitor, and govern your data across data lakes, data warehouses, and data marts through guided lectures and independent exercises using sample data.

This course does not cover the interaction of Dataplex with Dataproc Metastore nor does it do a deep dive into BigLake concepts.

Managing Google Cloud’s Apigee API Platform for Hybrid Cloud

Learning Objectives Identify the purpose and value of Apigee API Platform. Describe basic concepts and capabilities of Google Cloud, Kubernetes, REST, and Anthos. Discuss Apigee API Platform architecture and recommended practices for topology design. Explain Apigee terminology and logical organizational structures. Install Apigee hybrid on Google Kubernetes Engine. Discuss infrastructure security, user access management, data

Managing Machine Learning projects with Google Cloud

Business professionals in non-technical roles have a unique opportunity to lead and influence machine learning projects. In this course, you’ll explore machine learning without the technical jargon. You’ll learn how to translate business problems into custom machine learning use cases, assess each phase of the project, and translate the requirements to your technical team.

Managing Your Data Estate with NetApp BlueXP

This learning experience focuses on the features of NetApp® BlueXP™ (formerly Cloud Manager). It provides video demonstrations and a laboratory environment to facilitate hands-on experience and learning. You familiarize yourself with the BlueXP user experience. You practice using BlueXP capabilities. You also explore BlueXP management and planning features and integrated services for cloud and on-premises storage resources.

Microsoft 365 Administrator

This course covers the following key elements of Microsoft 365 administration: Microsoft 365 tenant management, Microsoft 365 identity synchronization, and Microsoft 365 security and compliance. In Microsoft 365 tenant management, you learn how to configure your Microsoft 365 tenant, including your organizational profile, tenant subscription options, component services, user accounts and licenses, security groups, and administrative roles. You then transition to configuring Microsoft 365, with a primary focus on configuring Office client connectivity. Finally, you explore how to manage user-driven client installations of Microsoft 365 Apps for enterprise deployments. The course then transitions to an in-depth examination of Microsoft 365 identity synchronization, with a focus on Azure Active Directory Connect and Connect Cloud Sync.

You learn how to plan for and implement each of these directory synchronization options, how to manage synchronized identities, and how to implement password management in Microsoft 365 using multifactor authentication and self-service password management. In Microsoft 365 security management, you begin examining the common types of threat vectors and data breaches facing organizations today. You then learn how Microsoft 365’s security solutions address each of these threats. You are introduced to the Microsoft Secure Score, as well as to Azure Active Directory Identity Protection.

You then learn how to manage the Microsoft 365 security services, including Exchange Online Protection, Safe Attachments, and Safe Links. Finally, you are introduced to the various reports that monitor an organization’s security health. You then transition from security services to threat intelligence; specifically, using Microsoft 365 Defender, Microsoft Defender for Cloud Apps, and Microsoft Defender for Endpoint.

Once you have this understanding of Microsoft 365’s security suite, you then examine the key components of Microsoft 365 compliance management. This begins with an overview of all key aspects of data governance, including data archiving and retention, Microsoft Purview message encryption, and data loss prevention (DLP). You then delve deeper into archiving and retention, paying particular attention to Microsoft Purview insider risk management, information barriers, and DLP policies. You then examine how to implement these compliance features by using data classification and sensitivity labels.

Microsoft 365 Endpoint Administrator

In this course, students will learn to plan and execute an endpoint deployment strategy using contemporary deployment techniques and implementing update strategies. The course introduces essential elements of modern management, co-management approaches, and Microsoft Intune integration. It covers app deployment, management of browser-based applications, and key security concepts such as authentication, identities, access, and compliance policies. Technologies like Azure Active Directory, Azure Information Protection, and Microsoft Defender for Endpoint are explored to protect devices and data.

Microsoft Azure Administrator – Exam Prep

Microsoft Azure Administrator AZ-104

This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.

You could also consider all or some of the below listed Applied Skills to emphasize networking, storage and monitoring areas in AZ-104 training. You can also complete the Applied Skills assessments as prep for the certification:

– Configure secure access to your workloads using networking with Azure Virtual Network (AZ-1002)
– Secure storage for Azure Files and Azure Blob Storage (AZ-1003)
– Deploy and administer Linux virtual machines on Azure (AZ-1007)

Microsoft Azure Administrator Hack the Cert

The Hack the Cert™ Program (AZ-104) has been specifically designed by Fast Lane for the participants to collaborate in teams under the supervision of Subject Matter Experts and take on challenges based on real-world scenarios. The hack is 100% hands-on, which allows the delegates to really deep dive, learning while doing. As a result, this style of learning delivers genuine skills and knowledge to pass the exam and take straight into the workplace.

– Zero lengthy slide-driven presentations
– Team-based approach to tackle challenges
– Over 37 hours of hands-on activity in one week!
– 4 Days of expert coach-led hacking and exam prep
– Dramatically improved Exam Success Rates!
– Endorsed by Microsoft with Official Courseware
– Access to a lab environment, both during and after class
– Asynchronous access to expert exam coach until certification achieved
– Online resources to support exam prep