Agent Frameworks

Modalità
Online
Lingua
en
Livello
practitioner

Il corso

Build production multi-agent systems with the OpenAI Agents SDK and Claude Agent SDK, the engine behind Claude Code. 9 chapters for working engineers.

Identità del corso

Materie

claude agent sdk course, openai agents sdk tutorial, how to build ai agents, anthropic api tool use, multi-agent systems engineering, testing ai agents ci/cd, langgraph crewai autogen, production ai agent workflows, openai responses api

Livello

practitioner

Lingua

en

Programma e obiettivi

Obiettivi
  • Move from raw OpenAI and Anthropic API calls to production multi-agent systems
  • Call the OpenAI Responses API and Chat Completions, and migrate between them
  • Build with the Anthropic Messages API using tool use, extended thinking, and prompt caching
  • Build multi-agent systems with guardrails, handoffs, and tracing using the OpenAI Agents SDK
  • Build autonomous agents with the Claude Agent SDK, the engine behind Claude Code
  • Ship production agent workflows that integrate real tools, scale in containers, and verify their own work
  • Test non-deterministic agents by mocking tools, tracing decisions, and running golden datasets in CI/CD
  • Read, debug, and ship agents across the LangGraph, CrewAI, and AutoGen frameworks
Programma
  • Url: https://aiacademy.anthropos.work/chapters/agent-sdk-intro/ · Agent Frameworks: Start Here · Position: 1 · A 12-minute orientation to the Agent Frameworks skill path — what each chapter teaches, how they relate, and where to start
  • Url: https://aiacademy.anthropos.work/chapters/agent-sdk-landscape/ · Agent Frameworks: The Landscape · Position: 2 · Navigate the API-to-agent stack across OpenAI and Anthropic — understand the layers before you build
  • Url: https://aiacademy.anthropos.work/chapters/openai-api/ · OpenAI API Mastery · Position: 3 · Master both the Responses API and Chat Completions — understand when to use each and how to migrate
  • Url: https://aiacademy.anthropos.work/chapters/anthropic-api/ · Anthropic API & SDK · Position: 4 · Master the Messages API, tool use, extended thinking, and prompt caching — build with Claude from first principles
  • Url: https://aiacademy.anthropos.work/chapters/openai-agents-sdk/ · OpenAI Agents SDK · Position: 5 · Build multi-agent systems with guardrails, handoffs, and tracing — OpenAI's framework for autonomous AI
  • Url: https://aiacademy.anthropos.work/chapters/agent-sdk-foundations/ · Claude Agent SDK · Position: 6 · Build autonomous agents with Anthropic's framework — the same engine that powers Claude Code, as a library you control
  • Url: https://aiacademy.anthropos.work/chapters/agent-sdk-production/ · Production Agent Workflows · Position: 7 · Ship multi-agent systems that integrate with real tools, scale in containers, and verify their own work
  • Url: https://aiacademy.anthropos.work/chapters/agent-sdk-testing/ · Agent Testing & Evaluation · Position: 8 · Mock tools, trace decisions, build golden datasets, and run agent tests in CI/CD — testing for non-deterministic AI systems
  • Url: https://aiacademy.anthropos.work/chapters/langgraph-multi-framework/ · LangGraph & Multi-Framework Agents · Position: 9 · Read, debug, and ship across LangGraph, CrewAI, and AutoGen — the three frameworks you'll meet in customer code
Competenze acquisite
  • Move from raw OpenAI and Anthropic API calls to production multi-agent systems
  • Call the OpenAI Responses API and Chat Completions, and migrate between them
  • Build with the Anthropic Messages API using tool use, extended thinking, and prompt caching
  • Build multi-agent systems with guardrails, handoffs, and tracing using the OpenAI Agents SDK
  • Build autonomous agents with the Claude Agent SDK, the engine behind Claude Code
  • Ship production agent workflows that integrate real tools, scale in containers, and verify their own work
  • Test non-deterministic agents by mocking tools, tracing decisions, and running golden datasets in CI/CD
  • Read, debug, and ship agents across the LangGraph, CrewAI, and AutoGen frameworks
A chi si rivolge

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.

Edizioni

Edizioni

Course Mode: online · Course Workload: PT182M · Mode: online

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