Free AI courses and resources

Hand-picked free courses and guides from the organisations that build these tools, in English, Spanish and French.

• Microsoft · EN

  AI Agents for Beginners

  Lessons with code samples on agent design patterns, tool use, planning, multi-agent systems and production.

  Open course AI Agents for Beginners (external site)→

• Microsoft · EN

  AI for Beginners

  A 12-week curriculum on classic AI, neural networks, computer vision and natural language processing.

  Open course AI for Beginners (external site)→

• Anthropic · EN

  Anthropic Academy

  Free courses on using Claude well, building with the API, Claude Code and the Model Context Protocol, with completion certificates.

  Open course Anthropic Academy (external site)→

• University of Helsinki & MinnaLearn · EN / ES / FR

  Elements of AI

  A gentle, non-technical introduction to what AI is, what it can and can’t do, and how it affects society. No maths or coding needed. Also available in Spanish and French (elementsofai.fr).

  Open course Elements of AI (external site)→

• Inria (Class'Code) · FR

  L'Intelligence Artificielle… avec intelligence !

  Free MOOC from Inria, the French public research institute, to understand what AI is, no prior knowledge needed. In French.

  Open course L'Intelligence Artificielle… avec intelligence ! (external site)→

• n8n · EN

  n8n learning paths

  Step-by-step courses to build your first workflows and AI agents in n8n.

  Open course n8n learning paths (external site)→

• Google · EN

  Prompt design strategies

  Google’s guide to clear instructions, few-shot examples, context and output formats for Gemini.

  Open course Prompt design strategies (external site)→

• OpenAI · EN

  Prompt engineering guide

  OpenAI’s official advice on writing instructions, giving examples and structuring prompts for its models.

  Open course Prompt engineering guide (external site)→

• DAIR.AI · EN

  Prompt Engineering Guide

  A broad, regularly updated catalogue of prompting techniques with examples and research links.

  Open course Prompt Engineering Guide (external site)→

• Anthropic · EN

  Anthropic courses (GitHub)

  Hands-on notebooks covering API fundamentals, prompt engineering, real-world prompting, evaluations and tool use.

  Open course Anthropic courses (GitHub) (external site)→

• Collège de France — Benoît Sagot · FR

  Apprendre les langues aux machines

  Public course by Inria researcher Benoît Sagot on how language models work, with lecture videos. In French.

  Open course Apprendre les langues aux machines (external site)→

• Anthropic · EN

  Building effective agents

  The reference article on when to use agents, the five workflow patterns and how to design tools for models.

  Open course Building effective agents (external site)→

• Hugging Face · EN

  Hugging Face Agents Course

  From agent theory to building agents with popular frameworks, with hands-on exercises and a certificate.

  Open course Hugging Face Agents Course (external site)→

• Google · EN

  Machine Learning Crash Course

  Google’s fast-paced introduction to machine learning with videos, visualisations and interactive exercises.

  Open course Machine Learning Crash Course (external site)→

• DeepLearning.AI · EN

  MCP: Build Rich-Context AI Apps with Anthropic

  Short video course on building MCP servers and clients and connecting them to a chatbot.

  Open course MCP: Build Rich-Context AI Apps with Anthropic (external site)→

• Model Context Protocol · EN

  Model Context Protocol documentation

  Official docs and specification: architecture, building servers and clients, and security best practices.

  Open course Model Context Protocol documentation (external site)→

• fast.ai · EN

  Practical Deep Learning for Coders

  Hands-on deep learning for programmers: build working models first, then learn the theory.

  Open course Practical Deep Learning for Coders (external site)→

• Stanford University · EN

  CS336: Language Modeling from Scratch

  Stanford course on building a language model end to end. Lectures are on YouTube; university level.

  Open course CS336: Language Modeling from Scratch (external site)→

• Hugging Face · EN / ES / FR

  Hugging Face LLM Course

  How transformer models work and how to fine-tune, share and use them with the Hugging Face ecosystem.

  Open course Hugging Face LLM Course (external site)→

• Andrej Karpathy · EN

  Neural Networks: Zero to Hero

  Video series in which Karpathy codes a neural network and a small GPT from scratch. Requires Python.

  Open course Neural Networks: Zero to Hero (external site)→