• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

In this course, you 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.

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Course details

Implement container application hosting on Azure

Deploy and manage apps on Azure Container Apps

Develop AI solutions with Azure Cosmos DB for NoSQL

Develop AI solutions with Azure Database for PostgreSQL

Enhance AI solutions with Azure Managed Redis

Integrate backend services for AI solutions

Manage application secrets and configuration for AI solutions

Observe and troubleshoot apps on Azure

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Prerequisites

  • Programming experience with languages such as Python, JavaScript, or C#.
  • Basic understanding of Azure services and cloud computing concepts.
  • Familiarity with containerization fundamentals.

Our Technology Partners

Spectrum Networks is the Authorised Learning Partner for some of the leaders in IT technology for Digital Transformation