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, infographics, code examples, and exam tips.
Develop Containerized Solutions on Azure
(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.
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.
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.
Develop AI Solutions by Using Azure Data Management Services
(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.
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.
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.
Connect to and Consume Azure Services
(20–25%)Secure, Monitor, and Troubleshoot Azure Solutions
(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.
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.