The Best Way to Learn AI in 2026
Learning AI means building the skills to understand, use, or build artificial-intelligence systems — from using tools like ChatGPT effectively, to building machine-learning models that learn from data. The right path depends on your goal.
Quick answer
The best way to learn AI depends on your goal. For AI literacy (understand and use AI well), start with an introduction to AI, then prompt engineering — no coding needed, about 4–6 weeks. To build AI (become an ML engineer), learn Python, then maths foundations, then machine learning, then deep learning — about 6–12 months. To use AI at work, learn prompt engineering and the tools for your role — a few weeks. Pick one path and go deep rather than sampling all three.
50
expert-led courses
4
free to start
6
skill categories
Figures reflect the live GeraLearn course catalogue as of June 2026.
The fastest way to learn AI: 4 weeks (literacy) to 12 months (ML engineer)
Learn these stages in order — and build something small at each one rather than only watching tutorials. Project-based practice is what turns knowledge into a job-ready skill.
- 1
AI fundamentals
Learn what AI, machine learning and generative AI actually are — no coding required. This gives you the vocabulary for everything else.
- 2
Prompt engineering
Learn to get reliable, high-quality results from AI tools like ChatGPT and Claude. The fastest skill to pay off at work.
- 3
Python (for builders)
If you want to build AI, learn Python — the dominant language of machine learning and data science.
- 4
Machine learning
Learn how models learn from data: supervised learning, evaluation, and the core algorithms. The heart of building AI.
- 5
Deep learning
Learn neural networks and frameworks like PyTorch to work on modern AI — vision, language, and generative models.
GeraLearn courses to learn AI
These real GeraLearn courses follow the roadmap above. Start free and upgrade only when you want certificates and the full catalogue.
Introduction to Artificial Intelligence
FreeUnderstand what AI is, how it works, and where it is heading — no coding required.
Beginner · 8 hours · Certificate
Prompt Engineering Masterclass
£29Write prompts that reliably get the outputs you need from GPT-4, Claude, and Gemini.
Beginner · 10 hours · Certificate
Machine Learning Fundamentals
£69Build your first ML models and understand the theory behind them.
Intermediate · 30 hours · Certificate
Deep Learning with PyTorch
£89Build neural networks for vision, NLP, and generative AI using PyTorch.
Advanced · 40 hours · Certificate
Browse the full course catalogue or compare pricing plans.
Frequently asked questions
How do I start learning AI?
Start with an introduction to AI to learn what it is and how it works — no coding required. Then choose a path: AI literacy and prompt engineering if you want to use AI well, or Python and machine learning if you want to build it.
Do I need to know maths to learn AI?
To use AI tools and learn AI literacy, no maths is needed. To build machine-learning models, you need a working grasp of linear algebra, calculus and probability — but you can learn these alongside the ML concepts rather than mastering them first.
How long does it take to learn AI?
AI literacy and prompt engineering take about 4–6 weeks. Becoming a machine-learning engineer who can build models takes roughly 6–12 months, depending on your maths and programming starting point.
What is the best way to learn AI in 2026?
Pick one of three paths and go deep: AI literacy + prompt engineering (no code), machine-learning engineering (Python + ML + deep learning), or applying AI tools in your current job. Trying to do all three at once is the most common way people stall.
Can I learn AI without coding?
Yes. AI literacy and prompt engineering require no coding and are highly valuable for almost any role. You only need to code if your goal is to build AI systems and models yourself.