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
- 1Agentframeworks: begin hier
Een oriëntatie van 12 minuten op het leerpad Agentframeworks — waarom het bestaat, wat je ermee kunt, hoe de hoofdstukken samenhangen en waar je begint.
- 2Agent-frameworks: het landschap
Verken de stack van API tot agent bij OpenAI en Anthropic — begrijp de lagen voordat je gaat bouwen.
- 3OpenAI API Mastery
Beheers zowel de Responses API als Chat Completions — begrijp wanneer je welke gebruikt en hoe je migreert.
- 4Anthropic API & SDK
Beheers de Messages API, tool use, extended thinking en prompt caching — bouw met Claude vanaf de basis.
- 5OpenAI Agents SDK
Bouw multi-agentsystemen met guardrails, handoffs en tracing — OpenAI's framework voor autonome AI.
- 6Claude Agent SDK
Bouw autonome agents met het framework van Anthropic — dezelfde engine die Claude Code aandrijft, als een library die jij in de hand hebt.
- 7Productie-agentworkflows
Lever multi-agentsystemen op die integreren met echte tools, schalen in containers en hun eigen werk verifiëren.
- 8Agents testen en evalueren
Lever agents op die je kunt verifiëren — mock je tools, traceer beslissingen, bouw golden datasets en laat deploys afhangen van eval-resultaten.
- 9LangGraph en multi-framework agents
Lees, debug en lever code op in LangGraph, CrewAI en AutoGen — de drie frameworks die je tegenkomt in klantcode.
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.