Course · 9 chapters
Frameworks de agentes
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: Empieza Aquí
Una orientación de 12 minutos al skill path de Agent Frameworks — por qué existe, qué podrás hacer, cómo se relacionan los capítulos y dónde comenzar.
- 2Frameworks de agentes: el panorama
Navega el stack de API a agente entre OpenAI y Anthropic — entiende las capas antes de construir.
- 3OpenAI API Mastery
Master both the Responses API and Chat Completions — understand when to use each and how to migrate.
- 4API y SDK de Anthropic
Domina la API de Messages, el uso de herramientas, el razonamiento extendido y el caché de prompts: construye con Claude desde los primeros principios.
- 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
Ship agents you can verify — mock tools, trace decisions, build golden datasets, and gate deploys on eval results.
- 9LangGraph & Multi-Framework Agents
Lee, debuguea y envía a través de LangGraph, CrewAI y AutoGen — los tres frameworks que encontrarás en código de clientes.
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.