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Certified, project-based courses taught by working practitioners, paid for with mobile money. Or start free with hand-picked AI courses from Google, Microsoft, Harvard and MIT.
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Free AI courses
Video lessons from their original publishers, each with a quiz to check what you have learned.
Foundation
No prior experience. Core concepts and first practical results.
Grow with Google
Google AI Essentials
A non-technical tour of what AI is and how to use it at work: everyday tools, writing good prompts, and using AI responsibly.
5 videos · 1 h 38 min · quiz
Google Cloud
Introduction to Generative AI
Three short lectures on what generative AI and large language models are, how they differ from traditional machine learning, and how Google approaches responsible AI.
3 videos · 45 min · quiz
Andrej Karpathy
How Large Language Models Work
Two general-audience talks from a founding member of OpenAI on how ChatGPT-style models are built: pre-training on the internet, fine-tuning into an assistant, and where they still go wrong.
2 videos · 4 h 31 min · quiz
3Blue1Brown
Neural Networks, Visually
Animated explanations of how neural networks learn, from a single neuron to the transformers behind modern chatbots. Builds intuition without any programming.
8 videos · 2 h 26 min · quiz
Professional
Applied skills and real projects for the workplace.
Microsoft
Generative AI for Beginners
Eighteen lessons on building real applications with generative AI: prompting, chat and search apps, RAG, function calling, agents and fine-tuning. Each lesson pairs a video with code on GitHub.
18 videos · 4 h 23 min · quiz
Microsoft
AI Agents for Beginners
Short lessons on the design patterns behind AI agents: tool use, planning, agentic RAG, multi-agent systems, memory, protocols such as MCP, and taking agents to production.
14 videos · 2 h 7 min · quiz
Harvard University
CS50's Introduction to AI with Python
The ideas underneath modern AI, taught in code: search, logic, probability, optimisation, machine learning, neural networks and language.
8 videos · 11 h 51 min · quiz
Expert
Advanced practice, portfolio and certification.
fast.ai
Practical Deep Learning for Coders
A top-down course that has you training and deploying working models in the first lesson, then opens them up: neural net foundations, NLP, random forests, collaborative filtering and CNNs.
8 videos · 12 h 34 min · quiz
MIT 6.S191
MIT Introduction to Deep Learning (2026)
MIT’s fast-paced deep learning bootcamp, refreshed every year. Covers sequence models and transformers, computer vision, generative models, reinforcement learning and current frontiers.
9 videos · 8 h 19 min · quiz
Andrej Karpathy
Neural Networks: Zero to Hero
Build neural networks from scratch in code, one idea at a time: an autograd engine, character-level language models, and finally your own GPT and tokenizer.
9 videos · 18 h 38 min · quiz