Azure AI Cloud Developer Associate Certification AI-200

• Implement container application hosting on Azure.
• Deploy and manage applications using Azure Container Apps.
• Deploy and monitor applications using Azure Kubernetes Service.
• Develop AI solutions with Azure Cosmos DB for NoSQL.
• Develop AI solutions with Azure Database for PostgreSQL.
• Enhance AI solutions using Azure Managed Redis.
• Integrate backend services using Azure Service Bus, Event Grid, and Azure Functions.
• Manage application secrets and configuration.
• Observe and troubleshoot AI applications on Azure.

Module 1: Implement container application hosting on Azure

• Store and manage containers in Azure Container Registry
• Deploy containers to Azure App Service

Module 2: Deploy and manage apps on Azure Container Apps

• Deploy containers to Azure Container Apps
• Manage containers in Azure Container Apps
• Scale containers in Azure Container Apps

Module 3: Deploy and monitor applications on Azure Kubernetes Service

• Deploy applications to Azure Kubernetes Service
• Configure applications on Azure Kubernetes Service
• Monitor and troubleshoot applications on Azure Kubernetes Service

Module 4: Develop AI solutions with Azure Cosmos DB for NoSQL

• Build queries for Azure Cosmos DB for NoSQL
• Implement vector search on Azure Cosmos DB for NoSQL
• Optimize query performance for Azure Cosmos DB for NoSQL

Module 5: Develop AI solutions with Azure Database for PostgreSQL

• Build and query with Azure Database for PostgreSQL
• Implement vector search with Azure Database for PostgreSQL
• Optimize vector search in Azure Database for PostgreSQL

Module 6: Enhance AI solutions with Azure Managed Redis

• Implement data operations in Azure Managed Redis
• Implement event messaging with Azure Managed Redis
• Implement vector storage in Azure Managed Redis

Module 7: Integrate backend services for AI solutions

• Queue and process AI operations with Azure Service Bus
• Develop event-driven AI workflows with Azure Event Grid
• Build serverless AI backends with Azure Functions

Module 8: Manage application secrets and configuration for AI solutions

• Manage application secrets with Azure Key Vault
• Manage application settings with Azure App Configuration

Module 9: Observe and troubleshoot apps on Azure

• Instrument an app with OpenTelemetry
• Analyze app telemetry with logs and metrics

5 Days

Certification: Microsoft Certified: Azure AI Cloud Developer Associate

Exam: AI-200: Developing AI Cloud Solutions on Azure

Duration: 120 minutes

• Implementing container application hosting.
• Deploying applications to Azure Container Apps.
• Deploying and troubleshooting applications on AKS.
• Building and querying Azure Cosmos DB for NoSQL solutions.
• Implementing vector search and semantic retrieval.
• Optimizing Cosmos DB query performance.
• Working with PostgreSQL and pgvector.
• Implementing vector search with PostgreSQL.
• Optimizing PostgreSQL vector workloads.
• Performing data operations with Azure Managed Redis.
• Implementing Redis event messaging and vector storage.
• Processing AI operations with Azure Service Bus.
• Developing event-driven workflows with Azure Event Grid.
• Building serverless AI backends with Azure Functions.
• Managing application secrets with Azure Key Vault.
• Managing application configuration with Azure App Configuration.
• Instrumenting applications with OpenTelemetry.
• Analyzing application logs and metrics.

• Developers building backend applications on Azure.
• Developers building AI-driven applications on Azure.
• Developers working with containerized compute.
• Developers working with AI data services.
• Developers working with event-driven workflows.
• Developers responsible for application security and monitoring.

• Hands-on experience with Azure fundamentals.
• Practical knowledge of building cloud applications using containers.
• Experience with serverless compute and event-driven architectures.
• Familiarity with core AI concepts.
• Experience integrating Azure AI services into applications.