1 live, 8 in draft
AI learning paths free to follow
A single course rarely gets you where you're going. Each path chains courses in the order that keeps the attention curve manageable: nothing jumps more than one heat step at a time.
The AI learning paths free to follow here put courses in the order to take them, with short projects along the way. There are 9 paths so far and 1 is live: the AI learning path for non-coders, which starts with Elements of AI, AI For Everyone and Generative AI for Everyone and takes about 10 weeks at 5 hours a week. If you have never coded, start there.
The other 8 paths are drafts. Their steps and hours are not yet checked against each course's own page, so they are outlines. Paths are put together and rated by level, and the live path's courses can be studied at no cost. On Coursera, the certificate price is shown when you enrol.
Live: Non-coders, about 10 weeks at 5 hours a week
AI learning path for non-coders
Explain how modern AI works and use it well at work
- 1Elements of AI
- 2AI For Everyone
- 3Generative AI for Everyone
- 4Ethics of AI
- 5Neural Networks (video series)
Draft: Professionals, managers
Use AI tools well at work
Prompt, evaluate output, and automate everyday tasks safely
- 1Generative AI for Everyone
- 2AI For Everyone
Draft: Complete beginners
Python for AI, from zero
Write the Python every AI course assumes
- 1Kaggle Learn: Python
- 2Kaggle Intro to Machine Learning
Draft: Some Python
Machine learning foundations
Train, evaluate and explain classic ML models
- 1Kaggle Intro to Machine Learning
- 2Machine Learning Crash Course
- 3CS50's Introduction to AI with Python
Draft: Some Python
The maths ML actually uses
Enough linear algebra, calculus and probability to read ML courses without panic
- 1Machine Learning Crash Course
- 2CS50's Introduction to AI with Python
Draft: Comfortable coders
Deep learning, hands-on
Build and train neural networks for vision and text
- 1Practical Deep Learning for Coders
- 2Neural Networks: Zero to Hero
Draft: Developers
Build apps with LLMs
Ship an app that uses an LLM API, retrieval and evaluation
- 1Hugging Face LLM Course
- 2Neural Networks: Zero to Hero
Draft: Developers, career changers
Become an ML engineer
Deploy, monitor and maintain models in production
- 1Kaggle Intro to Machine Learning
- 2Machine Learning Specialization
- 3Practical Deep Learning for Coders
Draft: Analysts
From data analysis to AI
Move from spreadsheets and SQL to ML and AI
- 1Kaggle Learn: Python
- 2Kaggle Intro to Machine Learning
- 3Machine Learning Crash Course
Keep going
Where to go next
Start with the live path, AI learning path for non-coders, or read the course reviews and tool rankings it leans on.
- All free AI courses, ratedFilter the whole catalogue by level, topic and certificate.
- Elements of AI review36 hours, no code, free certificate.
- AI For Everyone review7 hours on Coursera, for people who decide about AI.
- Generative AI for Everyone review6 hours on Coursera, for using chat assistants well.
- Best AI chat assistantsFree plans compared.
Questions people ask
What is an AI learning path?
An AI learning path is a set of courses in a fixed order, so each one prepares you for the next. The live path also adds short projects between courses, so you practise before you move on.
Which AI learning path should I start with?
If you have never coded, start with the AI learning path for non-coders. It takes about 10 weeks at 5 hours a week and begins with Elements of AI, which needs no programming.
Are the courses in these paths free?
You can study the courses in the live path at no cost. Elements of AI has a free certificate. On Coursera, the certificate price is shown when you enrol, so check it first.
Why are most of the paths marked as drafts?
We publish a path only when its hours and certificate rules are checked against each course's own page. The draft paths are outlines until that is done, and we do not want you to plan around unchecked numbers.
Last checked : step hours and weeks on the live path, taken from the reviewed courses.
Want the bigger picture?
Roadmaps show every skill in a field, in order, so you can see where each path fits.