Study plan
How to Pass the Microsoft Certified: Azure AI Apps and Agents Developer Associate Exam
A study plan for the Microsoft Certified: Azure AI Apps and Agents Developer Associate certification exam, built from the official domain weights instead of a generic template. Spend at least 30 percent of preparation time on hands-on labs. Build a small agent with function calling, create a RAG pipeline, and then practice vision, text, and document extraction. Use Microsoft Learn documentation, official demos, and sample code repositories. Focus on prompt flow and agent evaluation because those topics connect most directly to modern AI development.
- 5 domains
- 50 questions
- 120 min
- 70% to pass
certilumStudy in weight order, not topic order
The plan below follows the official blueprint weights, so the order of study is the order that returns the most points.
- 1
Implement generative AI and agentic solutions
34%- Build applications with Azure AI Foundry and Azure OpenAI
- Integrate Azure AI services using SDKs and APIs
- Implement retrieval-augmented generation with vector stores
- Create and manage prompt flows and evaluations
- +4 more topics in the blueprint
17 practice questions tagged to this domain.
- 2
Plan and manage an Azure AI solution
28%- Identify Azure AI services and appropriate use cases
- Plan security, governance, and responsible AI policies
- Create and configure Azure AI Foundry projects and hubs
- Manage authentication, private networking, and monitoring
- +2 more topics in the blueprint
14 practice questions tagged to this domain.
- 3
Implement text analysis solutions
13%- Process text with Azure AI Language
- Implement language detection and sentiment analysis
- Extract key phrases and named entities
- Recognize and redact PII information
- +1 more topics in the blueprint
6 practice questions tagged to this domain.
- 4
Implement computer vision solutions
13%- Analyze images and video with Azure AI Vision
- Implement object detection, image tagging, and OCR
- Classify images with custom Azure AI Vision models
- Extract spatial analysis data and video insights
- +1 more topics in the blueprint
7 practice questions tagged to this domain.
- 5
Implement information extraction solutions
12%- Extract data from forms and documents with Azure AI Document Intelligence
- Implement prebuilt models for invoices, receipts, and IDs
- Train custom extraction models for tables and key-value pairs
- Split and classify documents for downstream processing
- +1 more topics in the blueprint
6 practice questions tagged to this domain.
Three phases, in order
Most failures are process failures, not knowledge failures.
Phase 1 — Learn the high-weight domains
Start where the points are. The first domains on this plan carry the most weight, so a gap there costs the most. Cover the objectives, then close each topic with practice questions you actually get wrong.
Phase 2 — Close the mid-weight domains
The middle of the blueprint is where most candidates plateau. These domains are worth less per topic than the first phase, but they add up fast, and they are the usual difference between a near miss and a clear pass.
Phase 3 — Timed full mocks
Stop reading new material at this point. Run full-length exams under the real time limit and the real format, and use the per-domain breakdown to find which domain is still costing you the pass.
Where we put the emphasis
Certilum training focuses on practical exercises, prompt flow creation, retrieval-augmented generation, and agent evaluation. We combine official Microsoft modules with simulation labs so candidates can master the exact workflow expected for AI-103.
The order matters less than the loop. Every domain you finish should end with questions you got wrong, because the mistake is the only thing you actually needed to study. On the Microsoft Certified: Azure AI Apps and Agents Developer Associate that loop is worth 13% of the exam in the first block alone.
More about the Microsoft Certified: Azure AI Apps and Agents Developer Associate exam
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Frequently asked questions
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