AI-102: Designing and Implementing Azure AI Solutions
A comprehensive exam preparation guide covering every major topic in the Microsoft AI-102 certification — from Azure AI Services fundamentals and computer vision to natural language processing, speech services, knowledge mining, document intelligence, Azure OpenAI, and conversational AI. Each chapter includes exam tips, hands-on exercises, and real-world scenarios.
Table of Contents
- 1. Introduction to AI-102 Exam structure, skills measured, and study roadmap
- 2. Azure AI Services Overview Provisioning, endpoints, keys, multi-service resources, and container deployment
- 3. Security, Monitoring, and Governance RBAC, virtual networks, Key Vault, diagnostic logging, metrics, alerts, and cost management
- 4. Azure AI Vision: Image Analysis Tags, descriptions, OCR, adult content moderation, thumbnails, and object detection
- 5. Custom Vision: Classification and Detection Training custom models, labeling, evaluation metrics, and SDK consumption
- 6. Face API: Detection and Recognition Face detection, identification, verification, attributes, and ethical considerations
- 7. Video Indexer and Spatial Analysis Video insights, face detection in video, and spatial analysis for presence and movement
- 8. Natural Language Processing Key phrase extraction, entity recognition, sentiment analysis, language detection, and PII identification
- 9. Custom Text Classification and NER Custom entity recognition, text classification, and solution patterns for domain-specific NLP
- 10. Conversational Language Understanding Intents, entities, utterances, training, evaluation, and deployment with CLU
- 11. Custom Question Answering Knowledge bases, multi-turn conversations, active learning, and alternate phrasing
- 12. Speech-to-Text Real-time and batch transcription, custom speech models, and keyword recognition
- 13. Text-to-Speech and SSML Neural voices, Speech Synthesis Markup Language, voice customization, and audio output
- 14. Speech Translation Speech-to-speech and speech-to-text translation, multi-language simultaneous translation
- 15. Azure AI Content Safety Text moderation, image moderation, prompt shields, and groundedness detection
- 16. Azure AI Search: Indexing and Queries Provisioning, indexes, data sources, indexers, query syntax, filtering, and sorting
- 17. AI Search: Skillsets and Enrichment Built-in skills, custom skills, knowledge stores, and AI-powered indexing pipelines
- 18. Azure AI Document Intelligence Prebuilt models, custom models, document analysis, and extraction patterns
- 19. Azure OpenAI: Models and Prompt Engineering GPT models, prompt design, code generation, content filtering, and responsible use
- 20. Azure OpenAI: Advanced Patterns DALL-E image generation, function calling, embeddings, RAG patterns, and fine-tuning
- 21. Bot Framework SDK: Dialogs and Cards EchoBot, dialogs, adaptive cards, waterfall dialogs, and integration with AI services
- 22. Bot Framework Composer and Publishing Visual bot design, language generation, adaptive dialogs, and deployment to Azure
- 23. CI/CD and Container Deployment DevOps pipelines, containerized cognitive services, Docker deployment, and automation
- 24. Cost Management, Monitoring, and Diagnostics Pricing tiers, budget alerts, Application Insights, diagnostic logs, and performance tuning
- 25. Exam Preparation and Practice Study strategies, sample questions, time management, and last-minute review checklist