Azure AI-102 30-, 60-, and 90-day study plan with topic order, review loops, and final-week priorities.
This plan is a compact route for Microsoft Certified: Azure AI Engineer Associate (AI-102). It assumes you are using TechExamLexicon for concept clarity and the exact IT Mastery page for practice routing.
| Day | Focus | What to do |
|---|---|---|
| Day 1 | Orientation and scope | Read the exam guide overview and official vendor page, then use this study plan to mark the lanes you already know and the lanes that need practice. |
| Day 2 | Foundry solution planning | Choose models, deployment shape, identity, network boundaries, cost controls, and responsible AI checks before coding. |
| Day 3 | Generative AI and agents | Separate prompt design, tool use, retrieval grounding, agent orchestration, evaluation, and safety filtering. |
| Day 4 | Vision, speech, text, and extraction | Match the workload to the right multimodal, language, document, or content-understanding capability. |
| Day 5 | Python implementation and operations | Know where SDK calls, secrets, managed identity, telemetry, retries, and evaluation loops belong. |
| Day 6 | Troubleshooting and traps | Use the cheat sheet traps table and explain every missed option. |
| Day 7 | Timed review and scheduling decision | Run a timed practice block, review explanations, update a one-page rule sheet, and verify current vendor facts before scheduling. |