LangChain · on LangChain Academy
LangChain's official LangGraph course: graphs, routers and agents, state and memory, streaming and human-in-the-loop breakpoints, parallelization and sub-graphs, long-term memory with the LangGraph Store, and deployment. For Python developers who want precise control over agent workflows, taught by the team that builds the framework.
Developers and builders. This is an intermediate course in AI Agents & Developer Tools, running about ~6 hours of video (55 lessons).
Free. Free with a LangChain Academy account; the course page does not describe a certificate (LangChain's paid certification is separate). 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.