DeepLearning.AI
BeginnerAI for Everyone ↗
Andrew Ng's non-technical tour of what AI can and can't do, and how to bring it into a team.
- Length
- About 7 hours over 4 weeks
- Licence
- Free to take; certificate is paid. All rights reserved.
Our picks from universities, AI labs and big tech, for after you finish our learning paths. Each link goes to the provider's own site. We don't host or copy any of these courses. Some need a free account, and certificates can cost extra.
No coding needed. Good if you're new to AI or want the big picture.
DeepLearning.AI
BeginnerAndrew Ng's non-technical tour of what AI can and can't do, and how to bring it into a team.
DeepLearning.AI
BeginnerHow generative AI works, common uses, and its limits, with no coding.
University of Helsinki and MinnaLearn
BeginnerA gentle, text-based course on what AI is, with short exercises and no maths required.
Google Cloud Skills Boost
BeginnerShort videos and quizzes on generative AI, LLMs and responsible AI from Google Cloud.
NVIDIA Deep Learning Institute
BeginnerA self-paced overview of generative AI concepts, uses and challenges.
IBM SkillsBuild
BeginnerIBM's free catalogue of short AI courses with digital credentials.
Microsoft
BeginnerA full curriculum from symbolic AI to neural networks, with notebooks you can run.
The foundations: how models learn from data. Some Python and maths helps.
Fast, practical ML basics with interactive visuals and exercises.
Microsoft
BeginnerClassic machine learning with Scikit-learn, lesson by lesson, with quizzes.
MIT OpenCourseWare
IntermediateMIT's undergraduate ML course: lecture videos, notes and exercises.
MIT OpenCourseWare
IntermediatePatrick Winston's classic lectures on search, reasoning and learning.
Harvard University
IntermediateSearch, logic, probability, optimisation and neural networks, built up through Python projects.
Stanford University
AdvancedThe mathematical foundations of machine learning, from Stanford's main ML course.
Neural networks, transformers and large language models, mostly hands-on in code.
fast.ai
IntermediateTop-down, code-first deep learning: train real models from the first lesson.
MIT
IntermediateMIT's fast-moving bootcamp on deep learning, with labs in Python.
Hugging Face
IntermediateTransformers, tokenisers, fine-tuning and sharing models with the Hugging Face libraries.
Hugging Face
AdvancedThe theory behind diffusion image models, and how to train and fine-tune them.
Stanford University
AdvancedWord vectors to transformers and LLMs, from Stanford's NLP course.
Andrej Karpathy
AdvancedBuild neural networks and a GPT from scratch in code, one video at a time.
Prompting, apps and agents, using today's models through their APIs.
DeepLearning.AI with OpenAI
BeginnerPrompting patterns for developers calling an LLM from code.
Microsoft
BeginnerBuild generative AI apps step by step: prompting, RAG, agents and more.
Microsoft
BeginnerAgent design patterns, tool use, planning and multi-agent systems, with code samples.
Hugging Face
IntermediateBuild and deploy agents with popular frameworks, ending in a graded project.
Anthropic
BeginnerCourses on AI fluency and building with Claude, from Anthropic.
OpenAI
BeginnerOpenAI's free learning hub for using ChatGPT and building with its API.
Links, lengths and licences checked October 20, 2026. Licences are shown for information only; read each provider's terms before reusing their material. No provider paid to be listed. Want the papers and docs behind our own lessons? See Learn sources.