Learn AI from the Best

The gold standard entry point for ML. Covers supervised/unsupervised learning, neural networks and practical deployment. 3-month program.

Learn to build applications with the ChatGPT API. Covers prompt techniques, summarisation, inference, transformation and chatbot building. Free short course.

Five-course deep dive into neural networks, CNNs, RNNs, sequence models and structuring ML projects. The industry benchmark curriculum.

Top-down, code-first approach to deep learning. Reaches state-of-the-art results from the first lesson. One of the best free AI courses available.

Deploy and maintain ML systems at scale. Covers data pipelines, model monitoring, CI/CD for ML and production best practices.

Build real-world LLM-powered applications: chatbots, question-answering systems and agents using the LangChain framework. Free short course.

Google's own introduction to ML. Covers fundamental concepts, TensorFlow APIs and real-world case studies. Completely free with exercises.

The definitive practical course for working with transformers and NLP. Covers fine-tuning, tokenisers, pipelines and the full Hugging Face ecosystem. Free.

End-to-end MLOps curriculum used by engineers at Google, Apple and Microsoft. Covers design, data, modelling and productionising ML systems. Completely free.

No maths or programming required. Used by 1 million+ learners across 180 countries. A solid conceptual foundation for anyone entering AI.

Covers the full ML project lifecycle from problem framing to deployment and monitoring. Taught by Berkeley instructors, free on YouTube with project notebooks.

A collection of 1-3 hour courses covering Retrieval-Augmented Generation, fine-tuning with LoRA, vector databases and building AI agents. All free.