AI-200T00: Develop AI cloud solutions on Azure

About this course

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. 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.

Instructor-led training for professionals and companies in Chile. Request dates, schedules, seats and commercial terms. Training hours and daily scheduling follow Netsolutions planning and are confirmed in the commercial proposal.

Course syllabus

1. Implement container application hosting on Azure
2. Store and manage containers in Azure Container Registry
3. Deploy containers to Azure App Service
4. Run sidecar-enabled AI applications on Azure App Service
5. Deploy and manage apps on Azure Container Apps
6. Deploy containers to Azure Container Apps
7. Manage containers in Azure Container Apps
8. Scale containers in Azure Container Apps
9. Run AI-generated code securely in Azure Container Apps dynamic sessions
10. Deploy and monitor applications on Azure Kubernetes Service
11. Deploy applications to Azure Kubernetes Service
12. Configure applications on Azure Kubernetes Service
13. Monitor and troubleshoot applications on Azure Kubernetes Service
14. Develop AI solutions with Azure Cosmos DB for NoSQL
15. Build queries for Azure Cosmos DB for NoSQL
16. Implement vector search on Azure Cosmos DB for NoSQL
17. Optimize query performance for Azure Cosmos DB for NoSQL
18. Develop AI solutions with Azure Database for PostgreSQL
19. Build and query with Azure Database for PostgreSQL
20. Implement vector search with Azure Database for PostgreSQL
21. Optimize vector search in Azure Database for PostgreSQL
22. Enhance AI solutions with Azure Managed Redis
23. Implement data operations in Azure Managed Redis
24. Implement event messaging with Azure Managed Redis
25. Implement vector storage in Azure Managed Redis
26. Integrate backend services for AI solutions
27. Queue and process AI operations with Azure Service Bus
28. Develop event-driven AI workflows with Azure Event Grid
29. Build serverless AI backends with Azure Functions
30. Orchestrate durable AI workflows with Azure Durable Functions
31. Manage application secrets and configuration for AI solutions
32. Manage application secrets with Azure Key Vault
33. Manage application settings with Azure App Configuration
34. Observe and troubleshoot apps on Azure
35. Instrument an app with OpenTelemetry
36. Analyze app telemetry with logs and metrics