MCP: Build Rich-Context AI Apps with Anthropic
For: Developers building production AI agents in 2026
DeepLearning.AI's free short courses are the most-recommended starting points in AI education. Here are the picks we'd send to a friend.
DeepLearning.AI — Andrew Ng's education company — runs the highest-quality free short course library in the AI space. Every short is 60-120 minutes, taught by a recognized practitioner (Harrison Chase for LangChain, Jerry Liu for LlamaIndex, Anthropic education team for MCP, etc.), and structured around a single concept. Free, no signup gate beyond email, hands-on labs that run in your browser.
The catalog is now 60+ shorts strong as of mid-2026. Our editorial bias: take the framework-author-taught shorts first (LangGraph by Harrison Chase, LlamaIndex by Jerry Liu, MCP by Anthropic), then fill in topic depth. Skip the multi-course Specializations on Coursera unless you specifically need the certificate — the shorts cover 80% of the same content faster.
What DeepLearning.AI deliberately doesn't cover well: deployment, ops, evaluation in depth. For those, Maven cohorts (Hamel Husain's evals) and the Hugging Face Agents Course are the right next steps.
For: Developers building production AI agents in 2026
For: Engineers who have used the OpenAI API but never built an agent loop
For: Developers writing their first LLM-powered feature
For: Engineers whose basic RAG works in dev but fails in prod
For: Engineers prototyping multi-agent workflows
For: Engineers about to commit to a vector DB choice
For: Engineers shipping their first LLM-with-tools app
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 wanting the conceptual map of agentic design patterns
Yes — all of them. The short courses on deeplearning.ai/short-courses/ are 100% free with no upsell. The paid Specializations live on Coursera; same brand, separate pricing model.
Three rules. If you've never used an LLM API: ChatGPT Prompt Engineering for Developers. If you have but want to ship agents: AI Agents in LangGraph. If you're building production RAG: Building and Evaluating Advanced RAG. Pick one, do it in a single sitting, then iterate from there.
Faster than the field stabilizes — most shorts that are 18+ months old still teach the right patterns but show their age in code examples and model versions. DeepLearning.AI is good about retiring outdated content; if a short is on their site, it's still recommended.
Other providers covering overlapping ground — pick the one whose pricing model and content depth match your needs.
The honest shortlist of Coursera AI courses worth your time in 2026. Audit-free options and the certs worth paying for.
Hugging Face's free course library has grown into the most comprehensive open AI engineering curriculum in 2026.
DataCamp's interactive sandbox is the differentiator. Here's when the $25/mo subscription actually pays back.
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