Microsoft's skills measured for AI-901 as of April 15, 2026, mapped to the chapters of Ultra Transcenders AI-901: Microsoft Azure AI Fundamentals.
| Objective | Chapters |
|---|---|
| Identify AI concepts and capabilities (40–45%) | |
| Describe principles of responsible AI | 1. Responsible AI |
| Identify AI model components and configurations | 2. How generative AI models work and how to choose one; 4. Microsoft Foundry: models, deployments and code |
| Identify AI workloads | 3. AI workloads; 6. Text analysis and translation; 7. Speech: recognition, synthesis and voice agents; 8. Computer vision and image generation; 9. Information extraction with Azure Content Understanding |
| Implement AI solutions by using Microsoft Foundry (55–60%) | |
| Implement generative AI apps and agents by using Foundry | 4. Microsoft Foundry: models, deployments and code; 5. Prompts and agents |
| Implement AI solutions for text and speech by using Foundry | 6. Text analysis and translation; 7. Speech: recognition, synthesis and voice agents |
| Implement AI solutions with computer vision and image-generation capabilities by using Foundry | 8. Computer vision and image generation |
| Implement AI solutions for information extraction by using Foundry | 9. Information extraction with Azure Content Understanding |
The full list of tasks under each objective is in Microsoft's official study guide. The book is organised by technology, so one chapter often serves several objectives.