Duration - 8 hours
|
Level -
Last Updated Jun 2025
Target Audience
Suggested Certification
Hands on Labs
Course Code
This course describes the organizational process for building AI workloads in Azure. It explains the various design areas, the GenAIOps process, and describes how to make the workloads well architected.
Introduction to AI workloads on Azure
Understand the Microsoft Cloud Adoption Framework for Azure
Introduction to Azure Landing Zone
AI adoption - How to adopt AI
AI Strategy - Process to develop AI Strategy
AI Plan - Process to plan for AI adoption
AI Ready – Process to build AI workloads in Azure
AI on Azure Platforms (PaaS)
AI on Azure Infrastructure (IaaS)
Manage, Govern and Secure AI
Landing Zone for Azure OpenAI
Introduction to GenAIOps
Overview of Design areas for AI workloads on Azure
GenAIOps for AI workloads on Azure
Introduction to test and evaluate AI workloads on Azure
Workload team personas for AI workloads
Deploy the Platform Landing Zone
Set up a GenAIOps process
AI Repeatable Patterns
Azure Well-Architected Framework
Design methodology for AI workloads on Azure
Design principles for AI workloads on Azure
Design areas for AI workloads on Azure
Test and evaluate AI workloads on Azure
Responsible AI in Azure workloads
Well-Architected Framework AI workload assessment
WAF interactive challenge experience
Azure AI Foundry end-to-end baseline reference implementation
Deploy Azure OpenAI end-to-end chat reference architecture
