Course · 9 chapters
Agent Frameworks
Build production multi-agent systems with the OpenAI Agents SDK and Claude Agent SDK, the engine behind Claude Code. 9 chapters for working engineers.
What you'll be able to do
- Master the OpenAI and Anthropic APIs
- Build multi-agent systems with the OpenAI SDK
- Ship autonomous agents with the Claude Agent SDK
- Add guardrails, handoffs, and tracing
- Test non-deterministic agents in CI
- Compare LangGraph, CrewAI, and AutoGen
What's inside
- 1Agent Frameworks: Start Here
A 12-minute orientation to the Agent Frameworks skill path — what each chapter teaches, how they relate, and where to start
- 2Agent Frameworks: The Landscape
Navigate the API-to-agent stack across OpenAI and Anthropic — understand the layers before you build
- 3OpenAI API Mastery
Master both the Responses API and Chat Completions — understand when to use each and how to migrate
- 4Anthropic API & SDK
Master the Messages API, tool use, extended thinking, and prompt caching — build with Claude from first principles
- 5OpenAI Agents SDK
Build multi-agent systems with guardrails, handoffs, and tracing — OpenAI's framework for autonomous AI
- 6Claude Agent SDK
Build autonomous agents with Anthropic's framework — the same engine that powers Claude Code, as a library you control
- 7Production Agent Workflows
Ship multi-agent systems that integrate with real tools, scale in containers, and verify their own work
- 8Agent Testing & Evaluation
Mock tools, trace decisions, build golden datasets, and run agent tests in CI/CD — testing for non-deterministic AI systems
- 9LangGraph & Multi-Framework Agents
Read, debug, and ship across LangGraph, CrewAI, and AutoGen — the three frameworks you'll meet in customer code
Frequently asked questions
- What will I be able to build after this Agent Frameworks course?
- You go from raw API calls to production multi-agent systems. You build directly with the OpenAI Agents SDK and the Claude Agent SDK (the engine behind Claude Code), wire in tool use, multi-agent handoffs and guardrails, test agents in CI/CD, deploy production workflows, and learn to read and debug the LangGraph, CrewAI, and AutoGen frameworks you encounter in real customer code.
- Who is this course for?
- It is built for software engineers at a practitioner level who want to build, test, and ship AI agents. It suits backend, full-stack, and AI engineers moving from raw API calls to production agent systems.
- Do I need coding experience to take this course?
- Yes. This is a practitioner-level engineering path that has you working directly with the OpenAI and Anthropic SDKs, so you should be comfortable reading and writing code before starting.
- How long is the course and is there a certificate?
- The path has 9 chapters, including a Start Here orientation, the landscape of agent frameworks, the OpenAI and Anthropic APIs and SDKs, production workflows, testing and evaluation, and multi-framework agents. You earn a certificate of completion when you finish the path.
- Which agent frameworks does the course cover?
- It covers the OpenAI Agents SDK and Anthropic's Claude Agent SDK in depth, plus the OpenAI Responses API, the Anthropic Messages API, and reading and debugging agents built with LangGraph, CrewAI, and AutoGen.
Earn a certificate
Complete all chapters to receive your certificate of completion.