Dapr University: Learn to Design, Build, and Scale Microservices

In this self-paced course, you'll learn:

Why organizations use Dapr to build distributed applications.
How Dapr works.
How to use the Dapr CLI for local development.
How to use the three most popular Dapr APIs: State Management, Service Invocation, and Pub/Sub.

Supported languages: .NET, Python, Java, JavaScript

In this self-paced track, you'll learn:

What durable execution is.
How Dapr Workflow works.
How to apply workflow patterns, such as task chaining, fan-out/fan-in, monitor, external system interaction, and child workflows.
How to handle errors and retries.
How to use the workflow management API.
How to work with workflow limitations.

Supported languages: .NET, Python

In this self-paced track, you'll learn:

What Dapr Agents is and how it simplifies AI application development.
How to use different LLM clients and the provider-agnostic Dapr Conversation API.
How to build agents with custom tool calls for external interactions.
How to integrate with 3rd party systems through Model Context Protocol (MCP).
How to implement the ReAct (Reasoning and Action) pattern for complex problem-solving.
How to achieve durability and resilience in AI applications.
How to create agentic workflows for orchestrating multi-step AI processes.
How to build multi-agent systems that collaborate to solve complex tasks.

Supported languages: Python
Requires an OpenAI API key

Welcome to Dapr University