Develop AI cloud solutions on Azure (AI-200)

AI-200 validates the skills required to design, build, and operate cloud-native AI solutions on Microsoft Azure.It focuses on integrating Azure AI services into scalable applications using containers, serverless compute, event-driven architectures, and vector-enabled data stores.Learners gain hands-on experience securing, monitoring, and optimizing AI workloads across the full application lifecycle.

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

Learners should have hands-on experience with Azure fundamentals and practical knowledge of building cloud applications using containers, serverless compute, and event-driven architectures, along with familiarity with core AI concepts and integrating Azure AI services into applications.

This course is designed for developers who build backend and AI-driven applications on Azure and need practical skills in containerized compute, data services for AI, event-driven workflows, and application security and monitoring.