DeepLearning.AI and LangChain · on DeepLearning.AI
Harrison Chase and Andrew Ng teach the LangChain building blocks: prompts and parsers, memory, chains, question answering over documents, evaluation, and agents. A quick on-ramp for Python developers who want to build their first LLM application.
Developers and builders. This is a beginner-level course in AI Agents & Developer Tools, running about ~1 hour 53 minutes.
Free · certificate requires PRO membership. Free access noted as 'for a limited time' during platform beta. Seen 2026-11-01.
Anthropic's Elie Schoppik explains the SKILL.md format, progressive disclosure, and how skills compare with tools, MCP and subagents, then builds custom skills for Claude.ai, Claude Code, the Claude API and a research agent on the Claude Agent SDK. For builders who want one reusable way to give agents specialized know-how across Anthropic's products.
Microsoft's 18-lesson open course on agent design patterns, tool use, planning, multi-agent systems, agentic RAG, memory, trust and security, and protocols like MCP and A2A. For developers who want a free, vendor-documented survey of agent concepts with runnable samples.
A ground-up introduction to the Claude Platform using the TypeScript SDK: first requests, model selection, agent loops, tool use, built-in tools, skills, MCP, and Managed Agents. For developers who have never used an LLM API and want the fastest route to a working agent.