Learning AI From Primary Sources: A Free Starter Hub
A curated set of free courses and official frameworks for anyone who wants to understand AI properly, from first principles to governance, without paying for a course or relying on hype.
There is no shortage of AI content online, but much of it is promotional or second-hand. This hub lists free resources produced by universities, standards bodies and the teams that build the technology, grouped by how deep you want to go.
No technical background needed
- Elements of AI is a free online course created by the University of Helsinki and MinnaLearn. It explains what AI is, what it can and cannot do, and how it affects society, with short exercises.
Hands-on machine learning
- Google's Machine Learning Crash Course introduces core concepts with interactive visualisations and exercises.
- Practical Deep Learning for Coders from fast.ai takes a code-first approach for people comfortable with some programming.
Governance and responsible use
- The NIST AI Risk Management Framework is a free, widely cited framework for managing AI risk in organisations.
- The OECD AI Principles are an intergovernmental standard on trustworthy AI adopted by many countries.
Practical guides on FlexyBlogs
- How to write better AI prompts
- An AI use policy for small teams
- How to evaluate an AI tool before adoption
How to use this list
If you manage a team, start with Elements of AI and the NIST framework so you can ask good questions. If you build software, the Google course and fast.ai will get you hands-on quickly. Whatever your role, test what you learn on a real task from your own work; that is where understanding sticks.
