MCP: Build Rich-Context AI Apps with Anthropic
For: Developers building production AI agents in 2026
Free as in actually free — not "free trial," not "free to audit but the certificate costs $49." The 12 picks below are the ones we keep recommending to friends starting from zero.
The best free AI courses in 2026 cluster around three sources: Anthropic and OpenAI's own vendor-published tutorials (interest-aligned with the vendor — useful but single-vendor), DeepLearning.AI's short courses (mostly free, broad coverage, taught by the actual framework authors), and Coursera's "audit" mode (free access to content, paid only for certificates). Outside these, the field is mostly free-trial-then-paywall — useful for the trial, less useful as durable resources.
Pick by where you are: zero-to-fluent on prompting starts with Anthropic's tutorial. Build-an-agent starts with the LangGraph short course. LLM internals starts with the Coursera Generative-AI-with-LLMs audit.
For: Developers building production AI agents in 2026
For: Engineers who have used the OpenAI API but never built an agent loop
For: Engineers planning to fine-tune or self-host LLMs
For: Engineers who plan to fine-tune or self-host LLMs
For: Developers writing their first LLM-powered feature
For: Engineers who plan to train, fine-tune, or research LLMs at depth
For: Non-technical founders and PMs starting from zero
For: Anyone whose primary LLM is Claude (or who builds with Anthropic API)
For: Engineers whose basic RAG works in dev but fails in prod
For: Engineers building structured LLM apps but not yet full agents
For: Engineers who learn by doing, not by deriving
For: Working developers wanting to learn the 2026-grade AI coding workflow