Course content

All Modules

9 modules covering all 4 exam domains from Course AI-200T00-A: Develop AI Cloud Solutions on Azure. Each module includes detailed notes, diagrams, code examples, and exam tips.

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Domain 1

Develop Containerized Solutions on Azure

(20–25%)
Module 1 20–25%

Implement Container Application Hosting on Azure

Build, store, version, and manage container images using Azure Container Registry. Build and run images with ACR Tasks. Deploy containers to Azure App Service with environment variables and secrets.

Azure Container RegistryACR TasksAzure App Service
6 topics Study now →
Module 2 20–25%

Deploy and Manage Apps on Azure Container Apps

Deploy applications to Azure Container Apps with environment configuration and revision management. Implement event-driven scaling with KEDA. Deploy and manage apps on AKS using manifest files.

Azure Container AppsKEDAAKS
5 topics Study now →
Module 3 20–25%

Deploy and Monitor Applications on Azure Kubernetes Service

Deploy and manage workloads on AKS using kubectl and manifest files. Configure node pools, networking with Azure CNI, and monitor with Container Insights and KQL.

Azure Kubernetes ServicekubectlHelm
5 topics Study now →
Domain 2

Develop AI Solutions by Using Azure Data Management Services

(25–30%)
Module 4 25–30%

Develop AI Solutions with Azure Cosmos DB for NoSQL

Connect to Cosmos DB using the SDK and run queries. Optimize RU consumption with indexing policies and consistency levels. Store embeddings and execute vector similarity search. Implement change feed processor.

Azure Cosmos DBDiskANNChange Feed
7 topics Study now →
Module 5 25–30%

Develop AI Solutions with Azure Database for PostgreSQL

Connect and query PostgreSQL Flexible Server with SDKs. Model schemas and implement indexing strategies. Configure resources for vector workloads. Run vector similarity search and implement RAG patterns.

Azure Database for PostgreSQLpgvectorHNSW
6 topics Study now →
Module 6 25–30%

Enhance AI Solutions with Azure Managed Redis

Implement Azure Managed Redis data operations including caching, expiration, and invalidation. Implement vector indexing to enable similarity search for semantic caching and RAG.

Azure Managed RedisRediSearchVector Index
4 topics Study now →
Domain 3

Connect to and Consume Azure Services

(20–25%)
Module 7 20–25%

Integrate Backend Services for AI Solutions

Queue and process back-end operations with Azure Service Bus including dead-letter queue handling. Implement event-driven workflows with Event Grid. Build serverless APIs with Azure Functions triggers and bindings.

Azure Service BusAzure Event GridAzure Functions
6 topics Study now →
Domain 4

Secure, Monitor, and Troubleshoot Azure Solutions

(20–25%)
Module 8 20–25%

Manage Application Secrets and Configuration for AI Solutions

Secure secrets by using Azure Key Vault, including rotation and retrieval. Store and retrieve app configuration using Azure App Configuration. Use Key Vault references and feature flags.

Azure Key VaultAzure App Configuration
5 topics Study now →
Module 9 20–25%

Observe and Troubleshoot Apps on Azure

Trace distributed systems by using OpenTelemetry SDKs. Write KQL queries to analyze logs and metrics. Configure Application Insights, set up alerts, and build observability pipelines.

OpenTelemetryKQLAzure Monitor
5 topics Study now →

Exam strategy & guides

Latest AI-200 Study Articles

Architecture breakdowns, KQL cheatsheets, and real-world exam notes to accompany the modules.

Browse all 13 articles →
Exam Experience August 2026

I Failed AI-200 With 626/700. Here’s What I’d Do Differently

I took the AI-200 exam and did not pass by 74 points. Here is what the test was like, where I lost marks, and why I created ai200prep.com.

Read guide →
Hands-On Lab August 2026

Hands-On Lab: Zero-Trust AKS Workload Identity with Key Vault CSI Driver

Step-by-step production lab: setting up OIDC federated credentials, mounting secrets without pod restarts, and configuring Prometheus monitoring for AI-200.

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Hands-On Lab August 2026

Hands-On Lab: Chunking Strategies & Vector Search Latency on pgvector vs DiskANN

Benchmarking 256 vs 512 vs 1024 token chunks with text-embedding-3-small across PostgreSQL pgvector and Cosmos DB DiskANN. Latency tables, QPS, and lab findings.

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Technical Deep Dive July 2026

AKS vs Azure Container Apps: Choosing Correctly for AI-200

Scaling, networking, GPU support, cost model, and Dapr compared — plus the scenario phrases that determine which container platform is the expected answer.

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Career July 2026

Is the AI-200 Certification Worth It? Cost, Salary and Career Impact

What AI-200 costs in money and time, which roles it genuinely helps, realistic salary context, and the cases where it is not the right investment.

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Study Guide July 2026

AI-200 Study Plan: Pass in 30 Days

A day-by-day 30-day schedule with hands-on labs, weekly checkpoints, and a final-week revision routine, weighted to the real exam domain distribution.

Read guide →