DevOps & CI/CD

Agentic AI Governance Essentials

This course provides learners with the essential skills to govern the design, deployment, and scaling of autonomous, Agentic AI systems. It focuses on enabling rapid innovation and accelerating speed-to-market while managing the unique risks presented by AI systems that can make decisions without constant human input.

The course is structured around the practical application of the four-phase Agentic AI Governance Maturity Roadmap (Establish, Implement, Scale, Accelerate).

The course uses a blend of presentations, detailed case-study scenarios (Cymbal Health, Cymbal Insurance, etc.), group discussions, a tabletop exercise, and quizzes to ensure effective learning. The real-world examples ensure participants can immediately connect theoretical principles to their own organizational and regulatory challenges.

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.

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.

Automate your workflow with GitHub Actions

Learn how GitHub Actions enables you to automate your software development cycle. You’ll learn how to plan automation of your software development life cycle with GitHub Actions workflows, use GitHub Actions to automatically build an application, and use GitHub Script to interact with the GitHub API.

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.

Cisco NSO Administration and DevOps

The Cisco Network Services Orchestrator (NSO) Administration and DevOps training continues the learning journey of the NSO Essentials for Programmers and Network Architects and NSO Advanced for Python Programmers trainings by introducing you to the system administration and DevOps focusing on NSO. This includes the robust bridge linking network automation and orchestration tools, examining the development, operation, and administration task functions. You will learn how to set up, configure, deploy, and maintain a Cisco NSO solution, and learn best practices for using DevOps. The examples shown in this training demonstrate real-world scenarios to prepare you for deployment and management of new or existing NSO instances.

The training guides you through the setup of production-ready NSO instances using system installation with access control settings, the deployment of NSO in Docker containers, and introduces modern DevOps concepts and tools such as Git and Continuous Delivery/Continuous Deployment (CI/CD). You will learn how to migrate Continuous Diagnostics and Mitigation (CDM) devices, how to build Network Configuration Protocol (NETCONF) Network Element Drivers (NEDs) from the NSO Command-Line Interface (CLI), how to handle NSO Alarms, and many more features that benefit you in your journey with Cisco NSO.

How You’ll Benefit

This training will help you:

– Install, configure, and maintain a Cisco Network Services Orchestrator solution
– Apply DevOps best practices for Cisco NSO development, operations, and administrative tasks
– Implement Layered Service Architecture (LSA) within a Cisco NSO solution
– Gain knowledge for protocols, solutions, and designs to acquire professional-level and expert-level networking roles
– Earn 32 CE credits toward recertification

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 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.

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 DevOps solutions AZ-400

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms

You could also consider the below Applied Skill as a security-focused component alongside your AZ-400 course to validate security in DevOps Pipelines. For additional specialization you can also take the Applied Skills assessment:

– Implement security through a pipeline using Azure DevOps (AZ-2001)

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.

Designing and Implementing Microsoft DevOps Solutions – Exam Prep AZ-400

Develop data-driven applications with Azure SQL Database

This learning path prepares you for the task of developing data-driven applications by using Microsoft Azure SQL Database.

You’ll learn how to create and configure an Azure SQL Database, build and deploy database projects using GitHub Actions and Azure Pipelines, and automate the publishing process. Additionally, you’ll explore how to use Data API builder for Azure SQL Database and develop a data API with Azure Web Apps and Static Web App.

Furthermore, you’ll gain skills in importing data via an external REST endpoint, exporting data using an Azure Function, and securing an Azure SQL Database. These essential skills will empower you to effectively develop and manage applications using Azure SQL Database.

Developing Applications Using Cisco Platforms and APIs

The Developing Applications Using Cisco Core Platforms and APIs training is designed to help you prepare for the Cisco DevNet Professional certification and professional-level network automation engineer roles. The focus of this training is implementation of network applications using Cisco platforms as a base, from initial software design to diverse system integration, as well as testing and deployment automation. The training provides hands-on experience solving real world problems using Cisco Application Programming Interfaces (APIs) and modern development tools.

This training prepares you for the 350-901 DEVCOR exam. If passed, you earn the Cisco Certified DevNet Specialist – Core certification and satisfy the core exam requirement for the Cisco Certified DevNet Professional and Cisco Certified DevNet Expert certifications. This training also earns you 64 Continuing Education (CE) credits toward recertification.

Please note that this course lab access is valid for 60 hours or 90 days whichever is the shorter, so please ensure you exit the lab exercises when not in use.

How You’ll Benefit
This training will help you:

– Take full advantage of the network and software development practices when implementing applications to fulfill business needs
– Design and implement automated workflows for network provisioning
– Design and develop applications built on Cisco platforms
– Design and implement integration of custom applications with Cisco platforms and devices
– Understand challenges in network programmability and system integration
– Gain knowledge for protocols, solutions, and designs to acquire professional-level and expert-level DevOps roles
– Earn 64 CE credits toward recertification
What to Expect in the Exam

350-901: Developing Applications Using Cisco Core Platforms and APIs is a 120-minute exam associated with the Cisco Certified DevNet Specialist – Core certification and satisfies the core exam requirement for the Cisco Certified DevNet Professional and Cisco Certified DevNet Expert certifications.

The exam tests your knowledge of software development and design, including:

– Using APIs
– Cisco platforms
– Application deployment and security
– Infrastructure and automation

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 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.

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.

DevOps Foundation® (DOFD) Certification Training

Description This DevOps Foundation® (DOFD) Certification training introduces DevOps, a cultural and professional movement emphasizing communication, collaboration, integration, and automation to enhance the workflow between software developers and IT operations professionals. Improved workflows lead to a better capability to design, develop, deploy, and operate software and services more rapidly. Enhancing IT’s ability to produce software

DevOps Foundations Training (ICP-FDO Certification)

Description In this DevOps Foundations training course, you will explore the established Lean-Agile principles and acquire the knowledge necessary to achieve the ICAgile Foundations of DevOps (ICP-FDO) certification. This course is designed for Agile software developers, system administrators, DevOps managers, testers, and hands-on test managers, as well as anyone interested in learning about DevOps and

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.

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.

Implement a Lakehouse with Microsoft Fabric

This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

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.

Intermediate Python for Network Engineers

The Intermediate Python for Network Engineers (IPYNE) training introduces the fundamental concepts of network programmability and automation using Python. It is designed for network engineers new to programming or professionals looking to enhance their automation skills through Python and Cisco APIs. The training focuses on practical use cases, such as automating device configurations, managing network inventories, and integrating with Cisco products like IOS XE, Meraki, and ThousandEyes for API automation. You will also learn the basics of creating reusable programs using object-oriented programming, building web interfaces with Flask, and interacting with large language models for advanced network automation. Upon completion, you will be able to write Python scripts, interact with network devices via APIs, and design automation workflows to streamline network management tasks.

How You’ll Benefit

This training will help you:

– Gain hands-on experience using Python to automate, configure, and monitor network devices, increasing efficiency and reducing manual errors
– Develop practical skills in leveraging modern tools and libraries—such as Netmiko, PyATS, and REST APIs—for scalable and reliable network automation
– Learn to build and deploy reusable automation solutions, including scripts, web interfaces, and API wrappers, to streamline network operations
– Acquire foundational knowledge in integrating advanced technologies like CI/CD, telemetry, and large language models (LLMs) to enhance and future-proof network management
– Earn 29 CE credits toward recertification

Introducing Automation for Cisco Solutions

The Introducing Automation for Cisco Solutions (CSAU) training gives you a broad overview of network automation skills. Through a combination of lecture and hands-on labs, you will learn the fundamentals of automation such as working on model-driven programmability solutions with representational state transfer configuration protocol (RESTCONF) and network configuration protocol (NETCONF) protocols. The training also covers data formats and types, including Extensible Markup Language (XML), JavaScript Object Notation (JSON), Yaml Ain’t Markup Language (YAML), and Yet Another Next Generation (YANG), and their value in network automation, along with DevOps tools such as Ansible and Git.

How You’ll Benefit

This training will help you:

– Gain an overview of the skills you need to become a next-generation engineer
– Prepare to accelerate network automation in your organization
– Increase collaboration across internal and external teams using version control systems
– Earn 16 CE credits toward recertification

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 Docker Training

Description Explore Docker through this interactive and hands-on online tutorial course! Dive into the Docker learning path, understanding its ideal workloads, and mastering the migration of existing applications into containers. This comprehensive overview of Docker encompasses fundamental container concepts, deployment strategies, and container orchestration. The course emphasizes the pivotal role of containers in modern DevOps

Introduction to Jenkins

Description Jenkins is a scalable and highly efficient open source automation server that runs an unparalleled plugin ecosystem. It is written in Java and uses plugins designed for continuous integration purpose. This is a 2-day course which balances theory and hand-on applications that are focused on practical takeaways. This course will provide you with a

Introduction to Spark 3 with Scala

Description This hands-on course introduces Apache Spark 3.x, the powerful distributed computing engine, designed for developers, data analysts, architects, and technical managers looking to work with Spark in a practical, effective way. You’ll gain a strong technical foundation in Spark’s architecture and operations, starting with core concepts like RDDs and Spark’s compute engine. From there,

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

Microsoft Fabric Analytics Engineer

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will learn how to use Fabric dataflows, pipelines, and notebooks to develop analytics assets such as semantic models, data warehouses, and lakehouses.

This course is designed for experienced data professionals skilled at data preparation, modeling, analysis, and visualization, such as the PL-300: Power BI Data Analyst certification. Learners should have prior experience with one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).

You could also consider these Applied Skills to skill up on data engineering technologies including lakehouse and data warehouse with Microsoft Fabric platform. Leverage the certification exam if you are a power BI data analyst who wants to demonstrate ability to perform upstream data ingestion and transformation skills to serve curated data assets. There is a significant overlap in skills measured in these credentials and certification. The certification measures a broader set of skills, including semantic data modeling while the Applied Skills credentials provide an opportunity for interactive, in-product validation of your skills:

– Implement a data warehouse with Microsoft Fabric (DP-602T00)
– Implement a Lakehouse with Microsoft Fabric (DP-601T00)

Preparing for Professional Machine Learning Engineer

This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

In this course, you will learn how to use Amazon EKS to manage and orchestrate containers with Kubernetes. With Amazon EKS you can run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. You will manage container images using Amazon Elastic
Container Registry (Amazon ECR) and learn how to automate application deployment. You will deploy applications using continuous integration and delivery (CI/CD) tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal and vertical scaling. You will also manage storage for your containerized applications, configure AWS networking services to support the cluster, and learn how to secure your Amazon EKS environment.

Serverless Data Processing with Dataflow

This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications. Beginning with foundations, this training explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in.The section on developing pipelines covers how you convert your business logic into data processing applications that can run on Dataflow. This training culminates with a focus on operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability.

Site Reliability Engineering Foundation® (SREF) Certification Training

Description The Site Reliability Engineering Foundation® (SREF) Certification Training introduces the principles and practices necessary for organizations to effectively scale critical services with reliability and efficiency. Implementing a site reliability engineering approach entails organizational realignment, a heightened emphasis on engineering and automation, and embracing new operational paradigms. This course explores the evolution of SRE and

Vertex AI for Machine Learning Practitioners

This instructor-led one-day course is designed for engineers and data scientists familiar with machine learning models who want to become proficient in using Vertex AI for custom model workflows. This practical, hands-on course will provide you with a deep dive into the core functionalities of Vertex AI, enabling you to effectively leverage its tools and capabilities for your ML projects.

VMware Aria Automation: Advanced Topics

This four-day course is a follow-on to the VMware Aria Automation: Install, Configure, Manage course. During this course, you will take a deeper dive into advanced topics using features of VMware Aria Automation such as deploying user systems and interfacing Aria Automation with other platforms. You will also learn how to deploy a cluster environment using VMware Aria Suite Lifecycle and interface with, and use, vSphere with Tanzu Kubernetes. This course makes heavy use of hands-on labs.

Product Alignment

– VMware vSphere™ 7.0.3, VMware vSphere™ 8.0.1
– VMware Aria Automation™ 8.13
– VMware Aria Suite Lifecycle™ 8.13
– VMware Aria Automation Config™ 8.13
– VMware Aria Automation Orchestrator™ 8.13
– VMware vSphere With Tanzu 8.0 update 2
– VMware NSX Advanced Load Balancer (AVI) 22.1.5

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