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.
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.
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.
Real-time intelligence in Microsoft Fabric enables analysis of streaming events in real or near-real time.
Manage data lifecycle, records management, eDiscovery, and communication compliance with Microsoft Purview.
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)
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.
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.
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
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.
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.
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.
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.
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.
Gain a solid foundation in Microsoft Dynamics 365 Finance, including ERP basics, navigation, security, and shared features. Explore advanced tools like Copilot automation, AI forecasting, and intelligent collections. Hands-on labs cover financial reporting, budgeting, AP/AR, and integration with Microsoft 365 and Power Platform. Learn to optimize operations through business events, electronic reporting, and personalization for better decision-making.
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.
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.
This course provides a comprehensive introduction to Microsoft 365, Copilot, and AI-powered agents. It introduces learners to the foundational concepts, core services, and administrative controls of Microsoft 365. It then builds upon this foundation by exploring how Copilot and agents can utilize AI to automate tasks, enhance collaboration, and personalize user experiences across the Microsoft 365 suite.
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.
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.
Learn the business value and product capabilities of Microsoft Power Platform. Connect data with Dataverse, build simple canvas and model-driven apps, automate a process with Power Automate, and build a Power Pages site.
This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions.
This course will teach you how to enhance and automate business processes using Dynamics 365 customer engagement apps, while incorporating native interconnectivity with Microsoft 365. You will also learn to support customers efficiently through AI-driven Dynamics 365 Customer Service, improve customer experience with AI-first omnichannel communication in Dynamics 365 Contact Center, and boost first-time resolution rates for on-site workers using AI-driven Dynamics 365 Field Service.
This ITIL 4 Foundation Training course caters to professionals aiming to embrace ITIL for enhancing service management. Throughout the course, participants will acquire the requisite knowledge to excel in the ITIL 4 Foundation Certification exam, comprehend the comprehensive IT/digital operational framework, and leverage the ITIL 4 model for designing, delivering, and perpetually refining tech-driven products and services.
Furthermore, attendees will delve into the service value chain and various IT service management practices. They will pinpoint avenues for enhancing IT practices by adhering to ITIL standards and grasp the significance of aligning IT with business objectives. The course offers a flexible learning approach, encompassing instructor-led sessions or self-paced modules, supplemented by practice exams, preparatory questions, and supplementary materials.
Duration: 3 Days
Exam Voucher: Yes
Level: Introductory
ITIL® 5 Foundation introduces the latest evolution of the ITIL framework, designed to help organisations manage and deliver technology-enabled services in increasingly complex digital environments.
Modern organisations depend on reliable IT services to support business operations, customer experience, and innovation. ITIL 5 provides a practical framework for designing, delivering, and improving those services while ensuring they remain aligned with business goals.
Building on the principles established in earlier versions of ITIL, ITIL 5 expands the framework to address the realities of modern technology environments, including cloud platforms, AI-driven automation, DevOps practices, and digitally enabled operating models.
This instructor-led course introduces the key concepts, terminology, and practices of ITIL 5. Participants will gain an understanding of how service management supports organisational value creation, how services are designed and delivered across modern digital ecosystems, and how continual improvement can be embedded across teams.
The course provides a structured introduction to the ITIL Service Value System, guiding principles, value streams, and service management practices, preparing participants to successfully sit the ITIL® 5 Foundation certification exam.
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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.
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
LookML not only serves as the foundation for visualization assets in Looker, but is also capable of dynamic aggregations, incrementally refreshed persistent derived tables, and more. In this course you will practice the skills to be an advanced Looker Developer through guided lecture and independent exercises using sample data.
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.
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.
This course will examine how administrators can manage and extend Microsoft 365 Copilot to meet their business needs. The course introduces you to Copilot, examines how to implement and administer it, and then explores the fundamentals of Copilot extensibility.
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.
Practical Skills for Confident, Constructive and Outcome-Focused Conversations
Difficult conversations are part of every professional environment.
Whether it is addressing underperformance, giving honest feedback, managing conflict, or handling sensitive situations, the quality of these conversations has a direct impact on team performance, trust, and outcomes.
The challenge is not simply having the conversation. It is knowing how to approach it in a way that is clear, professional, and constructive.
This course focuses on developing the skills required to handle difficult conversations effectively in real-world situations where clarity, emotional control, and good judgement matter.
Delivered as a practical, instructor-led programme, the course combines realistic scenarios, structured techniques, and interactive exercises to help participants approach difficult conversations with greater confidence and control.
The focus is on practical communication, not theory.
1 Day Instructor-Led Training
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
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.
The Managing Microsoft Teams course is designed for persons who are aspiring to the Microsoft 365 Teams Admin role. A Microsoft Teams administrator plans, deploys, configures, and manages Microsoft Teams to focus on efficient and effective collaboration and communication in a Microsoft 365 environment. In this course, you will learn about various Teams management tools, security and compliance feature for Teams, network requirement for Teams deployment as well as different Teams settings and policies for managing collaboration and communication experience in Teams.
Communicating with Confidence, Clarity and Professional Impact
Assertiveness is a critical professional skill that sits between passive communication and aggressive behaviour.
Many professionals either avoid speaking up or struggle to communicate their views clearly, which can lead to misunderstanding, frustration, and missed opportunities.
Others may come across as too direct or forceful, which can damage working relationships and team dynamics.
This course provides a practical framework for developing assertive communication skills that are clear, confident, and professional.
Participants learn how to express ideas, handle challenging situations, and communicate boundaries in a way that maintains respect, credibility, and control.
The focus is on helping individuals communicate more effectively in real workplace situations where clarity, confidence, and professional presence matter.
1 Day Instructor-Led Training
Influencing with Credibility, Clarity and Professional Impact
Persuasion is a critical skill in professional environments where success depends on the ability to influence decisions, gain alignment, and secure buy-in from others.
Whether working with stakeholders, leading teams, or presenting ideas, the ability to communicate in a way that is both credible and compelling is essential.
Many professionals rely on logic alone, but effective persuasion requires more than just presenting information. It involves understanding people, context, and how to position messages in a way that resonates.
This course provides a practical framework for improving persuasion skills in real workplace situations.
Participants learn how to combine clarity, credibility, and structured communication to influence outcomes while maintaining professionalism and trust.
The focus is on practical influence, not theory.
1 Day Instructor-Led Training
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.
Learn how to drive adoption of Microsoft Copilot for Microsoft 365 using the user enablement framework to create and implement a robust adoption plan.
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.
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)
Designed for IT professionals who are starting to engage with Azure, this Azure Fundamentals Training course caters to an audience eager to explore Azure offerings and gain practical experience with the product. Emphasizing the use of the Azure portal and command line interface for resource creation, the course does not demand scripting skills. Participants will develop the confidence to pursue other role-based courses and certifications, including Azure Administrator. The course incorporates a blend of lectures, demonstrations, and hands-on labs, serving as valuable preparation for the AZ-900 exam.
Duration: 1 Day
Live Virtual Instructor Led Course
This is an advanced, expert-level course. Although not required to attend, students are strongly encouraged to have taken and passed another associate level certification in the security, compliance and identity portfolio (such as AZ-500, SC-200 or SC-300) before attending this class. This course prepares students with the expertise to design and evaluate cybersecurity strategies in the following areas: Zero Trust, Governance Risk Compliance (GRC), security operations (SecOps), and data and applications. Students will also learn how to design and architect solutions using zero trust principles and specify security requirements for cloud infrastructure in different service models (SaaS, PaaS, IaaS).
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)
The Microsoft Identity and Access Administrator course explores how to design, implement, and operate an organization’s identity and access management systems by using Microsoft Entra ID. Learn to manage tasks such as providing secure authentication and authorization access to enterprise applications. You will also learn to provide seamless experiences and self-service management capabilities for all users. Finally, learn to create adaptive access and governance of your identity and access management solutions ensuring you can troubleshoot, monitor, and report on your environment. The Identity and Access Administrator may be a single individual or a member of a larger team. Learn how this role collaborates with many other roles in the organization to drive strategic identity projects. The end goal is to provide you knowledge to modernize identity solutions, to implement hybrid identity solutions, and to implement identity governance.
Candidates for this course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions.
This Applied Skill is so learners can build on their foundations before PL-500:
– Create and Manage Model-Driven Apps with Power Apps and Dataverse (PL-7003)
The Microsoft Power Platform helps organizations optimize their operations by simplifying, automating and transforming business tasks and processes. In this course, students will learn how to design, develop, test, and troubleshoot solution components that use the extension points of Microsoft Power Platform. You use traditional code to solve challenges not appropriate with low-code.
The below Applied Skills help meet the prerequisites for the PL-400. You can also take the Microsoft Power Platform Functional Consultant (PL-200T00) as a prerequisite:
– Create and Manage Model-Driven Apps with Power Apps and Dataverse (PL-7003)
– Create and Manage Automated Processes by using Power Automate (PL-7002)
– Create and Manage Canvas Apps with Power Apps (PL-7001)
This course will teach you to use Microsoft Power Platform solutions to simplify, automate, and empower business processes for organizations in the role of a Functional Consultant. A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course may contain a 1-day Applied Workshop. This workshop will allow you to practice your Functional Consultant skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows.
You could also consider these Applied Skills which offer practical validation for building solutions in Power Platform. While they may not be considered advanced partner skills, they are ideal for learners new to Power Platform or consultants in training.
– Create and Manage Automated Processes by using Power Automate (PL-7002)
– Create and Manage Canvas Apps with Power Apps (PL-7001)
– Create and Manage Model-Driven Apps with Power Apps and Dataverse (PL-7003)
The Solution Architect is responsible for the successful design, implementation, deployment and adoption of an overall solution. The Solution Architect ensures that the solution meets the customer’s needs now and in the future. In this course, students will learn about decisions a Solution Architect makes during an implementation, covering security, integrations, Power Apps architecture, Power Automate architecture, and more. This course is designed to give you an introduction to the Solution Architect role.
This 1-day course teaches IT professionals who have experience with SAP solutions how to use Azure resources that include setting up and configuration of SAP environments in Azure for virtual machines, virtual networks, storage accounts, and Microsoft Entra ID. Learners will also explore backup, disaster recovery, and monitoring of SAP systems in Azure. Learn through the application of concepts, scenarios, and procedures through hands-on labs using Azure Center for SAP solutions.
This learning path prepares you for the task of migrating SQL Server workloads to Azure SQL Database.
You ll learn how to assess SQL Server components and compatibility for migration using the Azure SQL Migration Extension and Database Migration Assistant. This training guides you through the process of provisioning and configuring Azure SQL Database resources. You gain hands-on experience in choosing the best migration option to meet business requirements for downtime, handling migration state, and monitoring database migration.
Additionally, you ll also learn to perform post-migration tasks like disaster recovery and monitoring for Azure SQL Database. These skills are essential for ensuring a smooth, efficient transition to Azure SQL Database, and maintaining its operation post-migration.
In this course you will learn how to translate various concepts in Amazon Redshift to the analogous concepts in BigQuery. You will learn how the high-level architectures of Amazon Redshift and BigQuery compare, understand differences in how to configure datasets and tables, map data types in Amazon Redshift to data types in BigQuery, understand schema mapping from Amazon Redshift to BigQuery, optimize your new schemas in BigQuery, and do a high-level comparison of SQL dialects in Amazon Redshift and BigQuery
In this course you will learn how to translate various concepts in Snowflake to the analogous concepts in BigQuery. You will learn how the high-level architectures of Snowflake and BigQuery compare, understand differences in how to configure datasets and tables, map data types in Snowflake to data types in BigQuery, understand schema mapping from Snowflake to BigQuery, optimize your new schemas in BigQuery, and do a high-level comparison of SQL dialects in Snowflake and BigQuery
This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization.
This course builds upon and extends the DevOps methodology prevalent in software development to build, train, and deploy machine learning (ML) models. The course is based on the four-level MLOPs maturity framework. The course focuses on the first three levels, including the initial, repeatable, and reliable levels. The course stresses the importance of data, model, and code to successful ML deployments. It demonstrates the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course also discusses the use of tools and processes to monitor and take action when the model prediction in production drifts from agreed-upon key performance indicators.
The two main components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This course provides a practical guide to securing networks on Google Cloud.
The course will cover core network security principles and their application using Google Cloud’s managed services.
Network security concepts and best practices will be explored through practical demonstrations and real-world application scenarios.
The course uses presentations, demos, and discussions, with real-world examples, to ensure effective learning.
The Networking Essentials for Cloud Applications on AWS course provides a comprehensive understanding of networking concepts and services within the Amazon Web Services (AWS) cloud environment. Designed for novice and experienced networking engineers, this course covers essential topics, best practices, and hands-on labs. Its purpose is to equip learners with the knowledge and skills that are required to design, configure, and optimize network infrastructure on AWS.
Learning Objectives This course teaches participants the following skills: Configure Google VPC networks, subnets, and routers Control administrative access to VPC objects Control network access to endpoints in VPCs Interconnect networks among GCP projects Interconnect networks among GCP VPC networks and on-premises or other-cloud networks Choose among GCP load balancer and proxy options and configure
Learn the knowledge and skills necessary to administer and configure both NetApp® ONTAP® S3 and NetApp FabricPool technology. Using familiar manageability tools such as NetApp ONTAP System Manager, provision high-performance object storage for development and operations in ONTAP software. Also, explore how FabricPool moves data between a high-performance local tier and an ONTAP S3 object storage bucket. Through the exercises, apply your knowledge in practical activities.
Dataform is a service for data analysts to develop, test, version control, and schedule complex SQL workflows for data transformation in BigQuery. In this course you will explore the components of Dataform core, learn how to define tables and dependencies in SQLX, document BigQuery tables and views, understand BigQuery security settings and how to manage these with Dataform, write assertions, execute SQL workflows, and explore additional advanced use cases.
The Palo Alto Networks Panorama: Centralized Network Security Administration course is two days of instructor-led training that should help you to:
– Learn how to configure and manage the next-generation Panorama management server
– Gain experience configuring templates (including template variables) and device groups
– Activate, configure, and manage Prisma Access using Panorama
The Panorama: Centralized Network Security Administration 2-day course is 1 day of basic Panorama content up to the creation of device groups, and templates + 1 day of Panorama-managed Prisma Access (from EDU-318), including activating and configuring Prisma Access, setting up service connections, and securing remote networks with templates and device groups
The Palo Alto Networks Panorama: NGFW Management course is two days of instructor-led training that should help you to:
– Learn how to configure and manage the next-generation Panorama management server
– Gain experience configuring templates (including template variables) and device groups
– Gain experience with administration, log collection, and logging and reporting
– Become familiar with planning and design considerations for Panorama deployment
The Panorama NGFW Management course is an update of the former EDU-220 Course.
Exclusive to Fast Lane / iTLS:
Extended lab hours after the course
This course is designed as an introduction to Power BI for data analysis and reporting. Skills include connecting to data and basic data preparation tasks using Power Query, designing report pages for optimal user experience, and exploring how Copilot in Power BI aids the report development process.
This learning path examines the key Microsoft 365 security and compliance features that administrators must prepare in order to successfully implement Microsoft 365 Copilot.
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.
Prerequisites To get the most out of this course, participants should have familiarity with Google Cloud Platform, the Linux command line, web servers, and text editors. Who Should Attend This class is intended for the following: Individuals preparing for the Associate Cloud Engineer examination. Recommended experience: 6 months+ hands-on experience with GCP
Participants in this course will get a basic overview of the Professional Cloud Architect exam, review the sample case studies, and review each section of the exam. Candidates will be able to identify skill gaps and further areas of study and be pointed to appropriate target learning resources.
Learning Objectives This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study
This course helps learners create a study plan for the ACE (Associate Cloud 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.
This course provides basic information about the Professional Cloud Architect certification exam, including sample questions. It’s designed to eliminate any confusion or misunderstandings about the process and nature of the exam itself. You’ll also explore additional training resources that can help you prepare for the exam.
This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
The Prisma Access Browser course introduces you to the operational deployment of Prisma Access Browser and how it helps organizations meet the needs of the modern workforce by providing cloud-based network connectivity and security services.
This course will enable you to deploy, configure, maintain, and troubleshoot Prisma Access Browser using Strata Cloud Manager. The course is intended for professionals in cybersecurity and public-cloud security, as well as general network-security professionals who want to learn how to secure the last mile through a secure enterprise browser.
The Prisma Access SSE: Configuration and Deployment course introduces you to the operational deployment of Prisma Access Secure Access Service Edge (SASE) and how it helps organizations embrace the needs of the modern workforce by providing network connectivity and network security services from the cloud.
This course will enable you to deploy, configure, maintain, and troubleshoot Prisma Access using Strata Cloud Manager. The course is intended for professionals in cybersecurity and public-cloud security, as well as general network-security professionals who want to learn how to secure remote networks and mobile users.
The Prisma Access SSE: Configuration and Deployment course follows a similar architecture to the (EDU-318) Prisma Access SASE Security: Design and Operation course, but focuses on deployment and configuration through Strata Cloud Manager rather than Panorama. Additionally, this course includes modules covering Explicit Proxy, Prisma Access Browser (lecture-only module), and ADEM (with hands-on lab).
The Prisma SD-WAN Design and Operation course introduces you to Palo Alto Networks next-generation Prisma SD-WAN solution, the capability and value it provides over legacy WAN and SD-WAN implementations, and how to configure, operate, and troubleshoot the solution.
The Prisma SD-WAN: Design and Operation is an update of the former EDU-238 course.
The Information Security Administrator course equips you with the skills needed to plan and implement information security for sensitive data using Microsoft Purview and related services. The course covers essential topics such as information protection, data loss prevention (DLP), retention, and insider risk management. You learn how to protect data within Microsoft 365 collaboration environments from internal and external threats. Additionally, you learn how to manage security alerts and respond to incidents by investigating activities, responding to DLP alerts, and managing insider risk cases. You also learn how to protect data used by AI services within Microsoft environments and implement controls to safeguard content in these environments.
This course will teach the basics of Microsoft’s dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database, Azure Synapse Analytics, and Microsoft Fabric.
Many software development teams are beginning to use AI tools to assist with coding, debugging, documentation, and testing.
In the early stages, adoption often happens at the individual developer level, with engineers experimenting with AI assistants to improve productivity.
However, as usage grows, organisations begin to face new questions.
How should AI tools be integrated into development workflows?
How should teams review and validate AI-generated code?
How can organisations maintain engineering quality, security, and architectural integrity while adopting AI-assisted development?
This course explores how organisations move from individual experimentation to structured AI-enabled engineering practices across teams.
Participants will examine how AI can be incorporated into the software development lifecycle, development workflows, CI/CD pipelines, and engineering governance processes while maintaining high standards of software quality.
Duration: 2 Days
Delivery: Live Instructor-Led Training (Virtual or Private Team Delivery)
Unlock the power of group collaboration with our Certified Facilitation Course. Whether you’re new to facilitation or looking to deepen your practice, this course equips you with practical tools, frameworks, and confidence to lead engaging, effective sessions.
Two Day Course:
This immersive, certified 2-day workshop is designed to elevate your facilitation capabilities while nurturing emotional intelligence and strengthening core human skills.
Through interactive exercises, you’ll gain hands-on experience, refine your skills, and enhance emotional intelligence while practicing facilitation in a supportive, feedback-rich environment.
Led by Stuart Young, a leading visual practitioner and expert in facilitation, this workshop includes unique visual thinking techniques to enhance your facilitation toolkit and empower your practice.
Throughout the course all participants will have the opportunity to demonstrate their facilitation skills in a safe and fun environment, offering opportunities for feedback and growth.
Key areas
– Setting the Stage
– Understanding the Group’s Context and Needs
– Agile Framework Values and Principles
– The Orientation of a Facilitator-From the Front
– Visual Thinking Skills Deep Dive
– The Orientation of a Facilitator-From the Back
– The Orientation of a Facilitator-From the Inside
– Co-Facilitation
– Facilitating Through Conflict
– Forwarding the Action
This learning path guides you in securing Azure services and workloads using Microsoft Cloud Security Benchmark controls in Microsoft Defender for Cloud via the Azure portal.
This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. This course includes security for identity and access, platform protection, data and applications, and security operations.
You could also consider the below Applied Skills courses to provide real-world experience for security tasks covered in the AZ-500 course:
– Secure Azure services and workloads with Microsoft Defender for Cloud regulatory compliance controls (SC-5002)
– Secure storage for Azure Files and Azure Blob Storage (AZ-1003)
In this learning path, you practice storing business data securely by using Azure Blob Storage and Azure Files. The skills validated include creating storage accounts, storage containers, and file shares. Also, configuring encryption and networking to improve the security posture.
This course provides a comprehensive overview of Google Cloud Security Command Center (SCC) Enterprise, a Cloud-Native Application Protection Platform (CNAPP) solution that helps organizations prevent, detect, and respond to threats across Google Cloud services.
You will learn about core SCC Enterprise features, including enhanced threat detection,
in-depth vulnerability management, and integrated case management. Fundamental concepts
in threat management and vulnerability assessment will also be covered, along with practical
demonstrations of how to use SCC Enterprise to identify, investigate, and remediate security
risks within your cloud environment.
Security is a concern for both customers in the cloud, and those considering cloud adoption. An increase in cyberattacks and data leaks remains top of mind for most industry personnel. The Security Engineering on AWS course addresses these concerns by helping you better understand how to interact and build with Amazon Web Services (AWS) in a secure way. In this course, you will learn about managing identities and roles, managing and provisioning accounts, and monitoring API activity for anomalies. You will also learn about how to protect data stored on AWS. The course explores how you can generate, collect, and monitor logs to help identify security incidents. Finally, you will review detecting and investigating security incidents with AWS services.
Security is a concern for both customers in the cloud, and those considering cloud adoption. An increase in cyberattacks and data leaks remains top of mind for most industry personnel. The Security Engineering on AWS course addresses these concerns by helping you better understand how to interact and build with Amazon Web Services (AWS) in a secure way. In this course, you will learn about managing identities and roles, managing and provisioning accounts, and monitoring API activity for anomalies. You will also learn about how to protect data stored on AWS. The course explores how you can generate, collect, and monitor logs to help identify security incidents. Finally, you will review detecting and investigating security incidents with AWS services.
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.
Learning Objectives This course teaches participants the following skills: Understanding the Google approach to security Managing administrative identities using Cloud Identity. Implementing least privilege administrative access using Google Cloud Resource Manager, Cloud IAM. Implementing IP traffic controls using VPC firewalls and Cloud Armor Implementing Identity Aware Proxy Analyzing changes to the configuration or metadata of
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.
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
Duration: 3 Days (Live Virtual Instructor-Led Training)
This hands-on course introduces practical embedded firmware development using STM32 microcontrollers and the C programming language.
Participants work with STM32 development boards shipped prior to the course, enabling them to complete practical labs and interact directly with hardware peripherals.
The course explores ARM Cortex-M architecture, register-level programming, interrupts, timers and communication interfaces such as UART, SPI and I²C, helping engineers build and debug real embedded applications.
Also available as a private group course for 3-12 participants.
The ‘Technical AI Governance Essentials – Foundations’ course provides a comprehensive roadmap for organizations to mature their AI governance capabilities from a hands-on, technical perspective.
The course’s primary goal is to guide students in establishing, integrating, and orchestrating AI governance platforms, ultimately positioning technical governance as an enabler of speed and innovation. The emphasis is on understanding the holistic technical approach, architecture, and implementation of AI governance in a real-world context.
The ‘Technical AI Governance Essentials – Optimization’ course provides a comprehensive roadmap for organizations to mature their AI governance capabilities from a hands-on, technical perspective.
The course’s primary goal is to guide students in establishing, integrating, and orchestrating AI governance platforms, ultimately positioning technical governance as an enabler of speed and innovation. The emphasis is on understanding the holistic technical approach, architecture, and implementation of AI governance in a real-world context.
Dive deep into the technical underpinnings of FinOps and gain the expertise to optimize your cloud spending and drive business value. This comprehensive course is designed for cloud architects, engineers, and technical professionals seeking to master the tools, technologies, and strategies that empower effective cloud financial management.
In this course, learners will discover how to apply generative AI to streamline daily tasks, enhance decision-making, and drive meaningful business outcomes. Learners will understand how to use Microsoft 365 Copilot and its functionalities to improve their productivity. The course focuses on real-world use cases—no coding required—making it ideal for those who want to confidently integrate AI into their work.
This Learning Path examines no-code agents in Microsoft 365 Copilot Chat and SharePoint and explores how Microsoft 365 business users can create, manage, and use them.
In this course, you learn about Cloud Spanner. You will get an introduction to Cloud Spanner and understand how it differs from other database products. You also learn when and how to use Cloud Spanner to solve your relational database needs at scale.
Vertex AI Agent Builder lets developers, even those with limited machine learning skills, tap into the power of Google’s foundation models, search expertise, and conversational AI technologies to create enterprise-grade generative AI applications. In this course, you learn how to use Vertex AI Agent Builder to create search engines and chat applications. You will then explore how to integrate these search engineers and chat applications into your own applications. Finally, you learn how to manage the tools built in Vertex AI Agent Builder in production.
This course is designed to empower your organization to fully harness the transformative potential of Google’s Vertex AI and generative AI (gen AI) technologies with a strong emphasis on security. Tailored for AI practitioners and security engineers, it provides targeted knowledge and hands-on skills to navigate and adopt AI safely and effectively. Participants will gain practical insights and develop a security-conscious approach, ensuring a secure and responsible integration of gen AI within their organization.
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.
This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.
This course explores how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, store data, and create insightful reports using Copilot in Microsoft Fabric.
Cloud Composer is a fully managed workflow orchestration service built on Apache Airflow. Composer enables you to create, schedule, monitor, and manage workflow pipelines that span across clouds and on-premises data centers.
In this course, you will learn about Apache Airflow and its implementation via Cloud Composer. You will learn how to provision Composer instances, create and manage Airflow DAGs on Composer, and perform tasks such as testing, debugging, and monitoring of Airflow DAGs.
As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles. In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models.
