Documenting my prep for the Microsoft AI-103 certification (Microsoft Certified: Azure AI Apps and Agents Developer Associate), module by module, from day one to exam day.
This cert validates skills in designing, developing, and deploying advanced Azure AI solutions using Python and Microsoft Foundry — covering generative AI, agentic solutions, computer vision, text analysis, and information extraction.
🎯 Target exam date: [add when you know it] 📅 Started: June 30, 2026 📍 Status: In progress — Develop AI agents on Azure, Module 1
Writing notes in my own words forces me to actually understand the material instead of just clicking "next" on Microsoft Learn. This repo is both my accountability log and my own reference for the final review before the exam.
| Learning Path | Modules | Status | Notes |
|---|---|---|---|
| Develop generative AI apps in Azure | 0/6 | 🟡 In progress | Go → |
| Develop AI agents on Azure | 0/9 | ⚪ Not started | Go → |
| Develop natural language solutions in Azure | 0/7 | ⚪ Not started | Go → |
| Extract insights from visual data on Azure | 0/8 | ⚪ Not started | Go → |
- Finish a module fully before moving to the next
- Write a notes file per module: key concepts, gotchas, code snippets, diagrams
- Revisit and practice intensely before starting the next path
- Log every wrong practice question with the correct reasoning in
practice-exams/
- Planning and managing Azure AI solutions
- Implementing generative AI and agentic solutions
- Implementing computer vision solutions
- Implementing text analysis solutions
- Implementing information extraction solutions
See resources.md for docs, videos, and sandboxes I found useful.
This work is licensed under CC BY 4.0.
Folder numbering (path-1, path-2...) follows Microsoft's official course order. The "Order" column above reflects the sequence I'm actually studying in.