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Microsoft
AB-731: AI Transformation Leader
Curriculum
7 Sections
31 Lessons
80 Minutes
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02. Generative AI Techniques & Best Practices
6
1.1
Technical Foundations for AI Leaders
1.2
Traditional ML Integration
1.3
Secure AI Practices
1.4
Data Quality & AI Performance
1.5
Grounding & Retrieval-Augmented Generation (RAG)
1.6
Effective Prompt Engineering
01. Generative AI & Business Value Fundamentals
4
2.1
Opportunities & Challenges
2.2
Cost Drivers & ROI Considerations
2.3
Generative vs Traditional AI (Use Case Fit)
2.4
AI Model Types – Pretrained vs Fine-Tuned
03. Microsoft 365 Copilot Capabilities & Use Cases
6
3.1
Researcher & Analyst Tools
3.2
Microsoft Copilot Studio & Extensibility
3.3
Copilot in Microsoft 365 Apps
3.4
Integrated Microsoft AI Architecture
3.5
Copilot Versions & Experiences
3.6
Mapping Processes to Copilot
04. Foundry Tools & Azure AI Services
4
4.1
Security & Scalability Benefits
4.2
Matching AI Solutions to Business Needs
4.3
Azure AI Services Integration
4.4
Foundry Tools Overview
05. Responsible AI & Governance
4
5.1
Operationalizing Responsible AI Governance
5.2
Ensuring Accountability & Compliance
5.3
AI Governance & Council
5.4
Responsible AI Principles
06. AI Adoption Strategy & Change Management
6
6.1
Copilot & Azure AI Licensing
6.2
Governance, Security & Cost Impacts
6.3
Iterative Rollout & Feedback Loops
6.4
Overcoming Adoption Barriers
6.5
AI Champions Program
6.6
AI Adoption Teams
07. Recap and Final Tips
1
7.1
Recap and Final Tips
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