Develop AI cloud solutions on Azure
Course code
AI-200T00
Duration
5 Days, 40 Acad. Hours
Course Overview
Objectives
Prerequisites
Course Outline
Course Overview
Overview
This course teaches developers how to create, monitor, and troubleshoot AI solutions on Microsoft Azure. Students will learn how to implement Azure compute and containerization patterns to host applications, build serverless APIs with Azure Functions, and integrate services using event‑driven and message‑based architectures such as Azure Service Bus and Event Grid. The course also covers working with Azure data services that support AI workloads, including designing and querying solutions with Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, developers will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AI‑driven applications on Azure.
Objectives
Prerequisites
Audience Profile
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.
Prerequisites
- Programming experience with languages such as Python, JavaScript, or C#
- Basic understanding of Azure services and cloud computing concepts
- Familiarity with containerization fundamentals
Course Outline
Outline
- Implement container application hosting on Azure
Store and manage containers in Azure Container Registry
Deploy containers to Azure App Service
Run sidecar-enabled AI applications on Azure App Service
- 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
Run AI-generated code securely in Azure Container Apps dynamic sessions
- 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
- 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
- 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
- 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
- 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
Orchestrate durable AI workflows with Azure Durable Functions
- Manage application secrets and configuration for AI solutions
Manage application secrets with Azure Key Vault
Manage application settings with Azure App Configuration
- Observe and troubleshoot apps on Azure
Instrument an app with OpenTelemetry
Analyze app telemetry with logs and metrics
Request the training
Develop AI cloud solutions on Azure
Course code:
AI-200T00
Duration:
5 Days, 40 Acad. Hours
