A short test maps each option to a Day lesson.
Study the five AI-103 skill areas
AI-103 is an intermediate developer exam centered on Python, Microsoft Foundry, generative AI apps and agents. Percentages follow the study guide measured from 16 April 2026.
Plan and manage an Azure AI solution · 25–30%Services, models, deployment, security, monitoring and Responsible AI.Generative AI and agentic solutions · 30–35%RAG, tools, agents, orchestration, evaluation and observability.Computer vision solutions · 10–15%Image/video generation, multimodal understanding and visual safety.Text analysis solutions · 10–15%Entities, sentiment, translation, speech and structured output.Information extraction solutions · 10–15%Search, RAG ingestion, OCR, layout and Content Understanding.
A practical 14-day AI-103 study plan
Seven curriculum days build the implementation model; the second week applies it through code, scenarios and weakness review.
| Day | Focus |
|---|---|
| 1 | Foundry architecture, deployment, identity, RBAC, networking and governance. |
| 2 | Generative apps, prompt controls, RAG and evaluation. |
| 3 | Search, indexing, OCR and Content Understanding. |
| 4 | Foundry Agent Service, tools, memory and orchestration. |
| 5 | Computer vision and multimodal safety. |
| 6 | Text analysis, speech and translation. |
| 7 | Operational review: tracing, cost, safety and failure analysis. |
| 8 | Build one small Python client against a Foundry project. |
| 9 | Implement a grounded RAG or knowledge-connected agent flow. |
| 10 | Practise identity, tool permission and Prompt Shield scenarios. |
| 11 | Take the 14-question weakness analysis. |
| 12 | Practise dropdown, matching and case-study question formats in the app. |
| 13 | Review only weak areas and verify changing features in Microsoft Learn. |
| 14 | Final recall, exam sandbox and official study-guide check. |
Review method and update policy
Question banks and explanations follow 2026 official sources. Last reviewed: 2026-09-13.
Prepared by: ChengYuan Chang and the AiCert course workflow. Unlike the AI-901 and AIF-C01 pages, this page does not claim an author exam score.
Method: Scope and percentages follow Microsoft’s AI-103 study guide effective 16 April 2026. Questions flagged for retired features or stale answer choices are excluded from this free set; explanations are checked against current Microsoft Learn documentation.
Disclosure: AiCert is independent and is not affiliated with or endorsed by Microsoft.
Change log: 5 September 2026 — replaced the placeholder with five skill guides, a 14-day plan, 14-question weakness analysis and 20-question practice.
Official Microsoft AI-103 sources
How to use the 14-day path
Use the weakness analysis first. Then study only the lowest Days. This page does not claim an author exam score.
- Start with the 14-question analysis (option-to-Day +1 / −1).
- Study Day 1 audio and the lowest-scoring Days in the app.
- Use the fixed 20-question practice to confirm formats, not as the ranking.
- Check changing Foundry and Content Understanding facts on Microsoft Learn.
AI-103 exam facts
| Item | Detail |
|---|---|
| Official name | Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) |
| Skills measured | Plan and manage 25–30%; generative AI and agents 30–35%; computer vision 10–15%; text analysis 10–15%; information extraction 10–15% |
| Guide date | Skills measured from 16 April 2026 |
| Pass mark used in this product | 700 / 1000 |
| Author score | Not claimed on this page |
| Website price | NT$590 once · Day 1 free |
AI-103 FAQ
What is AI-103?
AI-103 is Microsoft Certified: Azure AI Apps and Agents Developer Associate. It is an intermediate developer exam on Python, Microsoft Foundry, generative apps and agents.
What is the pass mark?
This product uses the 700/1000 pass mark as the exam reference. This page does not claim an author sitting score.
How is the free weakness analysis scored?
Not one point per correct question. Each option maps to a Day. Correct: those Days +1. Incorrect: those Days −1. Results rank Days from lowest to highest.
Is the 20-question set the same as the analysis?
No. The 20-question page is fixed practice by skill area. The 14-question analysis produces the Day ranking and readiness %.
What does the exam cover?
Official weights from 16 April 2026: plan and manage 25–30%; generative AI and agents 30–35%; computer vision, text analysis and information extraction 10–15% each.
How is AI-103 different from AI-901?
AI-901 is Azure AI Fundamentals. AI-103 is a developer associate exam: implement Foundry apps, agents, RAG, vision, language and extraction.
If my exam is in 3–7 days, is this still useful?
Yes. The analysis ranks Day lessons so you spend remaining days on the lowest-scoring topics instead of rereading the whole outline.
Do the questions follow the current study guide?
Yes. Scope follows the Microsoft AI-103 study guide effective 16 April 2026. Items are independent study questions, not official or live Microsoft exam items. This page does not claim an author exam score.