OpenAI · on OpenAI Academy
Design multi-agent applications with clear roles, controlled tool access and reliable handoffs, then test the workflow against defined outcome and safety requirements in a guided lab. For developers with API experience who want OpenAI's own method for building agentic systems on its platform.
Developers and builders. This is an intermediate course in AI Agents & Developer Tools, running about ~110 minutes (lessons plus guided lab).
Free. Free; requires a ChatGPT account and hands-on API experience. An Accredible badge is issued after the course plus an assessment score of at least 80%. Price seen 2026-11-01.
An influential essay series, modelled on the 12-Factor App, arguing for owning your prompts, context window and control flow, treating tools as structured outputs, and keeping agents small, stateless and pausable. It suits engineers moving agents from demo to production who want design principles rather than another framework tutorial.
Google and Kaggle's intensive pairs a daily whitepaper with hands-on codelabs on foundation models, embeddings, agents, domain-specific LLMs, and MLOps using Gemini and the Agent Development Kit. For developers who want a dense, free bootcamp-style sprint through Google's GenAI stack.
Builds a healthcare multi-agent system from agents written in different frameworks, wraps each in an A2A server, builds A2A clients, and orchestrates them in sequential and hierarchical workflows using Google ADK, LangGraph, BeeAI and Microsoft Agent Framework. For developers who need agents from different teams or vendors to discover and talk to each other.