A practical developer's guide to pass the AI-102 exam without spending hours studying every service.
This repository contains concise, practical study notes for the Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution (Apr/2025) certification exam. Created by a developer, for developers.
| Aspect | Details |
|---|---|
| Duration | 1 hour 20 minutes |
| Questions | ~59 questions |
| Passing Score | 700/1000 |
| Question Types | Multiple choice, drag-and-drop, code completion, case studies |
| Languages | Python or C# for coding questions |
| Resources | Microsoft Learn accessible during exam (but time-consuming!) |
- Read each question twice - but be quick!
- Don't spend too long on case studies - go directly to the question, then search for keywords
- Mark for review - if unsure, mark and move on
- Case studies appear at the beginning or end - usually 5-6 questions based on one scenario
| Domain | Weight |
|---|---|
| Plan and Manage an Azure AI Solution | 20-25% |
| Implement Generative AI Solutions | 15-20% |
| Implement an Agentic Solution | 5-10% |
| Implement Computer Vision Solutions | 10-15% |
| Implement Natural Language Processing (NLP) Solutions | 15-20% |
| Implement Knowledge Mining & Information Extraction | 15-20% |
AI-102-Exam-Notes/
├── README.md # This file
├── services/
│ ├── 01-azure-ai-services.md # Getting Started with Azure AI Services
│ ├── 02-azure-ai-vision.md # Azure AI Vision & Custom Vision
│ ├── 03-azure-ai-speech.md # Azure AI Speech
│ ├── 04-document-intelligence.md # Azure AI Document Intelligence
│ ├── 05-azure-ai-language.md # Azure AI Language (CLU & Text Analytics)
│ ├── 06-azure-ai-search.md # Azure AI Search
│ ├── 07-azure-video-indexer.md # Azure AI Video Indexer
│ ├── 08-content-safety.md # Azure AI Content Safety
│ ├── 09-qna-maker.md # Azure QnA Maker / Custom Question Answering
│ ├── 10-ai-agents.md # Azure AI Agent, Semantic Kernel, Autogen
│ └── 11-azure-ai-foundry.md # Azure AI Foundry & OpenAI
├── cheatsheets/
│ └── master-cheatsheet.md # All-in-one quick reference
- Start with Azure AI Services Overview
- Focus on the services with highest exam weight
- Review the Master Cheatsheet before the exam
- Practice with the SDK and REST API examples
Each service guide follows this structure:
- Introduction - What is it and why use it?
- Use Cases - Real-world scenarios
- SDK Example - Python code you can run
- REST API Example - HTTP request patterns
- Cheatsheet - Key concepts, exam traps, and tips
- Microsoft Learn - AI-102 Learning Path
- John Savill's Study Cram (YouTube)
- Official Practice Assessment
Feel free to submit PRs with corrections, additional tips, or improved examples!
MIT License - Use freely for your exam preparation!
Good luck with your AI-102 exam! 🍀