Build AI apps and agents on Azure. Pass AI-103.
Revision notes built to the AI-103 outline — Foundry models and deployments, RAG and agents, responsible AI, vision, language, speech and Content Understanding — plus scenario practice that explains every option and full-length timed mocks scored like the real exam.
The AI-103 exam at a glance
Official exam details from the Microsoft Azure exam guide — the numbers our mock exams mirror.
Taking more than one exam? Add up the exam fees across every certification you plan to earn.
Who should take the AI-103?
AI-103 is an associate-level, role-based certification. There are no formal prerequisites, but Microsoft Azure recommends hands-on experience — the questions are scenarios, not definitions.
You already build on Microsoft Azure
You run real workloads and want the credential that matches the job you're already doing — and the salary conversations that come with it.
You're moving into a cloud role
The exam blueprint doubles as a job description. Studying it task statement by task statement is the fastest way to find and close your skill gaps.
You hold a foundational cert
The natural next step on the same platform: deeper services, scenario-based questions, and a credential employers screen for by name.
What’s on the AI-103 exam
Every lesson, question, and mock is weighted to match these official domains.
Plan and manage an Azure AI solution
Choosing Foundry models and services, setting up Foundry projects and deployments with CI/CD, managing quotas, monitoring and security, and implementing responsible AI controls across generative and agentic systems. Official weighting 25–30%.
Implement generative AI and agentic solutions
Building generative applications and agents with Microsoft Foundry: model deployment, RAG, tool-augmented and multi-agent workflows, evaluation, prompt and parameter tuning, and observability. Official weighting 30–35%.
Implement computer vision solutions
Image and video generation and editing, multimodal understanding with Azure Content Understanding, and responsible AI for visual content. Official weighting 10–15%.
Implement text analysis solutions
Language-model text analysis (entities, summaries, structured JSON, sentiment, translation) and speech-to-text, text-to-speech and speech translation for agents. Official weighting 10–15%.
Implement information extraction solutions
Retrieval and grounding pipelines (ingestion, semantic/hybrid/vector search, enrichment, OCR) and document extraction with Content Understanding. Official weighting 10–15%.
How you’ll prepare for the AI-103
Three surfaces, one loop: read, drill, rehearse — repeat until your readiness score says book it.
Read the lessons
Work domain by domain through 14 plain-English revision lessons covering every task statement in the AI-103 exam guide — key terms, "what's tested" callouts, and takeaways.
Drill every topic
Work through 558 exam-realistic questions in learn mode to study, or quiz mode to test yourself. Every option explains why it’s right or why it’s a trap, with one click back to the lesson.
Rehearse the exam
Sit 3 full-length timed mocks weighted to the official domains and scored on the real AI-103 scale — so your mock result predicts your real one.
Exam in a few days? The AI-103 cheat sheet puts every lesson’s key takeaways and what’s tested on one page.
Start reading AI-103 lessons — no account needed
Open any of these in a new tab and judge the quality yourself. If the lessons don’t earn your time, don’t sign up.
One-time. Yours for good.
The exam costs $165 — pass it once. Pro is a single payment, not a subscription.
- Every revision lesson
- 30 practice questions a day
- Cheat sheets & flashcards
- No account needed to start
- All revision lessons
- Full question bank
- All full-length mock exams
- Scaled-score readiness
- Weak-area study plan
- Unlimited practice
AI-103 questions, answered
Ready to pass the AI-103?
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