Learn AI for free, at your own pace
Three paths, from complete beginner to builder. Every course here is from a university, an AI lab or a major tech company, and most cost nothing.
Start with AI
For anyone who wants to understand what AI is, what it can and cannot do, and how to use it responsibly. No maths or coding.
Week 1–2
Take Elements of AI to understand the basics: what machine learning is, where it fails and why it matters.
Week 3
Do AI Fluency to learn how to work with AI assistants: delegating, describing tasks, checking output and using it ethically.
Week 4
Use an AI assistant for one real task every day. Keep notes on what worked. Earn an IBM SkillsBuild credential.
| Course | Provider | Level | Cost |
|---|---|---|---|
| Elements of AINo coding or maths needed. The best first course for anyone. | University of Helsinki and MinnaLearn | Beginner | Free |
| AI Fluency: Framework & FoundationsHow to work with AI effectively, critically and responsibly. | Anthropic | Beginner | Free |
| IBM SkillsBuild AI coursesShort courses with digital credentials you can add to your resume. | IBM | Beginner | Free |
Work smarter with AI
For professionals who want to save time and do better work: prompting, AI assistants, meetings, research and simple automation.
Prompting
Learn to give context, set a role, ask for a format and iterate. Start with our prompt library.
Your daily toolkit
Pick one assistant, one meeting tool and one research tool from the tools directory and use them for a month.
Automate one workflow
Choose a weekly task you dislike and automate it with Zapier or Make plus an AI step. Measure the time saved.
| Course | Provider | Level | Cost |
|---|---|---|---|
| Generative AI for Beginners (21 lessons)Hands-on lessons; some labs use paid API calls. | Microsoft | Beginner | Free |
| Introduction to generative AI (learning path)Self-paced modules on generative AI concepts and Azure tools. | Microsoft Learn | Beginner | Free |
| DeepLearning.AI Short CoursesOne-hour courses on prompting, agents and AI apps. Certificates need a paid plan. | DeepLearning.AI | Beginner to intermediate | Free videos |
| Google AI EssentialsFive short modules with a certificate. Coursera subscription after a free trial. | Google (on Coursera) | Beginner | Paid |
Build with AI
For developers, analysts and career changers moving into AI roles. You will need some Python; Kaggle Learn is a gentle place to start.
| Course | Provider | Level | Cost |
|---|---|---|---|
| Kaggle LearnBite-size, browser-based lessons in Python, machine learning and SQL. | Kaggle / Google | Beginner to intermediate | Free |
| Machine Learning Crash CourseClassic introduction to machine learning with exercises. | Beginner to intermediate | Free | |
| CS50's Introduction to AI with PythonUniversity-grade course; certificate optional and paid. | Harvard University | Intermediate | Free |
| Practical Deep Learning for CodersTop-down, practical deep learning. About a year of Python helps. | fast.ai | Intermediate | Free |
| Hugging Face LLM CourseFree and ad-free course on transformers and language models. | Hugging Face | Intermediate to advanced | Free |
Start with these videos
How to actually finish a course
Most online courses are never completed. These habits make the difference:
- Learn on a schedule, not on willpower. Put two or three fixed sessions in your calendar each week.
- Apply everything to your own work. After each lesson, try the idea on a real task the same day.
- Make something visible. A small project, a before-and-after example or a short write-up counts for more with employers than a certificate alone.
- Learn with others. A colleague, a study group or the AI Hope Challenge keeps you going.
Free vs. paid certificates
Free courses teach the same ideas as paid ones. Paid certificates can help when an employer asks for proof, or when a course includes graded projects and support. A practical approach: learn free first, then pay only for the certificate that your target employers actually mention in job posts.
Which free AI course should I take first?
Elements of AI from the University of Helsinki is the best general starting point for non-technical learners. If you already use AI assistants, Anthropic's AI Fluency course is a short, practical next step.
Do I need to learn to code to work with AI?
No. Most jobs need AI literacy, not programming: knowing how to give AI good instructions, check its output and fit it into your workflow. Coding becomes important if you want to build AI products or move into technical roles.
How long does it take to become good at using AI at work?
With daily practice, most people become noticeably more productive within four to six weeks. Becoming the go-to AI person on a team usually takes two to three months of deliberate use and sharing what you learn.