Create, monitor, and troubleshoot AI solutions on Microsoft Azure.
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
Module 2: Deploy and manage apps on Azure Container Apps
Module 3: Deploy and monitor applications on Azure Kubernetes Service
Module 4: Develop AI solutions with Azure Cosmos DB for NoSQL
Module 5: Develop AI solutions with Azure Database for PostgreSQL
Module 6: Enhance AI solutions with Azure Managed Redis
Module 7: Integrate backend services for AI solutions
Module 8: Manage application secrets and configuration for AI solutions
Module 9: Observe and troubleshoot apps on Azure
In this course, 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.
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.
NOK 37.000
