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Intermediate
Microsoft AzureAI Ready: How to make workloads well architected
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.
8 hours(Suggested: 2 days, 4h/day)TechnicalProject ReadyHands-on Labs
MS Course ID: 00331
Last Updated: Jul 23, 2025
Course Syllabus
1
Understand AI Ready and establish GenAIOps
Module 1: Microsoft Cloud Adoption Framework for Azureand Azure Landing Zone
• Introduction to AI workloads on Azure
• Understand the Microsoft Cloud Adoption Framework forAzure
• 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
Module 2: Establish GenAIOps
• 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
160 mins
Lecture
2
Interactive Simulated Lab
• Deploy the Platform Landing Zone
• Set up a GenAIOps process
20 mins
Lab
3
Implement Azure Well Architected Framework
Module 3: Azure Well Architected Framework
• 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
120 mins
Lecture
4
Interactive Session
• WAF interactive challenge experience
40 mins
Lecture
5
Hands on Labs
• Azure AI Foundry end-to-end baseline reference implementation
60 mins
Lab
6
Interactive Simulated Lab
• Deploy Azure OpenAI end-to-end chat reference architecture
40 mins
Lab
What You'll Learn
Understand core concepts and best practices
Hands-on experience with real-world scenarios
Learn from certified Microsoft experts
Prepare for relevant certifications
Access to lab environments
Post-training support and resources
Course Details
- Duration
- 8 hours
- Level
- Intermediate
- Role
- Technical
- Course Type
- Project Ready
- Partner Segment
- SMB, Enterprise
- Course Stage
- Available
- Hands-on Labs
- Yes