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: Hier starten
Eine 12-Minuten-Orientierung zum Skill Path „Agent Frameworks“ — warum es ihn gibt, was du danach kannst, wie die Kapitel zusammenhängen und wo du beginnen solltest.
- 2Agent Frameworks: Die Landschaft
Navigiere den API-zu-Agent-Stack bei OpenAI und Anthropic — verstehe die Schichten, bevor du baust.
- 3OpenAI API Mastery
Beherrsche sowohl die Responses API als auch Chat Completions — verstehe, wann du welche einsetzt und wie du migrierst.
- 4Anthropic API & SDK
Beherrsche die Messages API, Tool-Nutzung, Extended Thinking und Prompt-Caching — baue mit Claude von Grund auf.
- 5OpenAI Agents SDK
Erstelle Multi-Agenten-Systeme mit Guardrails, Handoffs und Tracing — OpenAIs Framework für autonome KI.
- 6Claude Agent SDK
Erstelle autonome Agenten mit Anthropics Framework — dieselbe Engine, die Claude Code antreibt, als Bibliothek unter deiner Kontrolle.
- 7Produktions-Agent-Workflows
Liefere Multi-Agent-Systeme aus, die sich in echte Tools integrieren, in Containern skalieren und ihre eigene Arbeit verifizieren.
- 8Agent-Testing & Evaluation
Liefere Agents aus, die du verifizieren kannst — mocke Tools, verfolge Entscheidungen, baue Golden Datasets auf und blockiere Deploys anhand von Eval-Ergebnissen.
- 9LangGraph & Multi-Framework-Agents
Lies, debugge und shippe mit LangGraph, CrewAI und AutoGen — den drei Frameworks, die dir im Kundencode begegnen werden.
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.