Elements of AI
The gentlest way in: a University of Helsinki course with no code and no maths beyond school level. It takes about 24 to 48 hours and the certificate is free.
23 courses in the catalogue
Filter by where you are today, not where you'd like to be. Every course is rated on the same five-step heat scale, so the numbers mean the same thing everywhere on this site.
Take Elements of AI first if you have never coded: it is 36 hours, needs no programming and its certificate is free. If you manage people or projects, take AI For Everyone next (7 hours), then Generative AI for Everyone (6 hours) to use chat assistants with judgement. On Coursera, the certificate price is shown when you enrol.
Every course below is scored out of 10 on clarity, hands-on work, how up to date it is, depth and whether it is truly free. Scores are our editorial opinion. Hours and certificate rules come from each course's own page, and anything unchecked is marked.
23 of 23 courses
The gentlest way in: a University of Helsinki course with no code and no maths beyond school level. It takes about 24 to 48 hours and the certificate is free.
Andrew Ng's non-technical primer on what AI is good for and how to plan around it at work. It takes 7 hours on Coursera, and the certificate is paid.
What large language models can actually do for you and your team, without writing a line of code. Andrew Ng teaches it in 6 hours on Coursera, certificate paid.
Kaggle's 7-lesson Python course takes about 5 hours, costs nothing and pairs every lesson with an exercise notebook. Kaggle gives a free completion certificate.
A short, no-code explainer on what generative AI is and how it differs from other machine learning.
A free, no-code course on fairness, accountability and transparency in AI systems.
Kaggle's 7-lesson first machine learning course takes about 3 hours, costs nothing and ends with a competition. Kaggle gives a free completion certificate.
Google's Machine Learning Crash Course has 12 modules and takes about 13.5 hours by Google's own timings. It is free, with quiz badges and no certificate.
A 24-lesson open curriculum on GitHub covering classic AI, ML and a little deep learning.
Harvard's Python course for people who have never programmed. The cleanest route from zero to writing real code.
Short, hands-on lessons on the data library every ML tutorial quietly assumes you already know.
A free, open-source curriculum on classic machine learning with scikit-learn, taught through small projects.
Microsoft's open-source course on building apps with large language models, from prompting to retrieval.
A short course on getting reliable output from an LLM API, with runnable notebooks.
Grant Sanderson's animated series on how neural networks, backpropagation and transformers work.
CS50's Introduction to AI with Python runs 7 weeks with 12 projects, costs nothing and gives a free CS50 Certificate if you score 70% on every project.
The Machine Learning Specialization has 3 courses and 95 hours of Andrew Ng's lessons. Coursera's FAQ says you cannot take it for free, so check the cost first.
Hugging Face LLM Course has 12 chapters of 6 to 8 hours each, costs nothing and has no certificate. You learn LLMs with the Transformers library.
A short, practical first look at neural networks in Keras, run entirely in Kaggle notebooks.
Build LLM agents that use tools and plan steps, using open-source frameworks and open models.
Practical Deep Learning for Coders has 9 lessons of about 90 minutes, costs nothing and has no certificate. You deploy your own model by the end of lesson 2.
Neural Networks: Zero to Hero is 8 free YouTube videos, about 14.5 hours, where Andrej Karpathy builds a GPT from scratch in code. No certificate.
Train agents that learn by trial and error, from Q-learning up to modern policy methods.
Each course gets a score out of 10, built from 5 sub-scores: clarity, hands-on work, how up to date it is, depth and whether it is truly free. The scores are our editorial opinion, not learner votes, and affiliate links never change them.
Elements of AI, AI For Everyone and Generative AI for Everyone need no code. Elements of AI is 36 hours and starts from nothing. The two Coursera courses take 7 and 6 hours and suit people who decide about AI at work.
Elements of AI gives a free certificate when you complete at least 90% of the exercises and get at least 50% right. On Coursera, the certificate price is shown when you enrol, so we cannot quote one for AI For Everyone.
The no-code courses we have reviewed take 6 to 36 hours. Generative AI for Everyone is 6 hours, AI For Everyone is 7 and Elements of AI is 36. At 5 hours a week, the longest takes about 7 weeks.
Last checked : course hours, certificate rules and Coursera pricing wording on each published review.
Our learning paths put the right courses in the right order, with a small project after each one.