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Azure AI Cloud Developer Associate (AI-200) Study Guide

Formerly AZ-204 -- restructured for AI-200 (beta April 2026, GA July 2026)

Comprehensive study guide for the Microsoft Certified: Azure AI Cloud Developer Associate certification exam.

Detail Value
Exam AI-200
Full Name Azure AI Cloud Developer Associate
Replaces AZ-204 (retiring August 31, 2026)
Level Intermediate
Duration 100 minutes
Format Multiple choice, case studies, scenario-based
Beta April 2026
GA July 2026 (estimated)
Course AI-200T00

Study Plan (8 Weeks)

Week Learning Path Focus
1 Container Hosting ACR, App Service containers, Container Apps
2 Container Hosting AKS deployment, configuration, monitoring
3 Cosmos DB + PostgreSQL NoSQL + vector search with pgvector
4 Azure Managed Redis Data operations, messaging, vector storage
5 Backend Services Functions, Service Bus, Event Grid
6 Secrets & Configuration Key Vault, managed identities, App Configuration
7 Observability OpenTelemetry, Azure Monitor, KQL
8 Review Practice exams, hands-on labs, cheat sheets

Learning Paths

# Learning Path Topics Status
1 Container Hosting ACR, App Service Containers, Container Apps, AKS (x3) Migrated + Placeholders
2 Cosmos DB Cosmos DB NoSQL with vector search Migrated (reshape pending)
3 PostgreSQL Vector Search Flexible Server, pgvector, HNSW indexes Placeholder
4 Azure Managed Redis Data operations, pub/sub, vector storage Placeholder
5 Backend Services Service Bus, Event Grid, Azure Functions Migrated
6 Secrets & Configuration Key Vault, managed identities, App Configuration Migrated
7 Observability OpenTelemetry, logs/metrics analysis Placeholder + Migrated

Topic File Structure

Each topic directory contains:

File Purpose
README.md Overview, learning objectives, AI-200 relevance
notes.md Comprehensive study notes
code-examples/ Practical code snippets
practice-questions.md Self-assessment questions with answers
hands-on-lab.md Step-by-step lab exercises
cheat-sheet.md Quick-reference for exam review

AZ-204 Archive

Topics removed from AI-200 are preserved in archive/az-204/ for reference:

  • API Management
  • Blob Storage
  • Event Hubs
  • Microsoft Graph, SAS, and MSAL

See the AZ-204 to AI-200 transition article for a detailed analysis of what changed and why.

Official Resources

Prerequisites

  • At least 2 years of programming experience
  • Proficiency with Azure SDKs, Azure CLI, and containerized applications
  • Understanding of cloud concepts (AZ-900 recommended)
  • Familiarity with AI concepts (embeddings, vector search, RAG patterns)

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