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Hands-on AI and data courses built around the datasets and models on the hub — plus the courses from other providers that people most often recommend.
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Andrew Ng's foundational machine learning programme: supervised and unsupervised learning, neural networks and practical advice, in Python.
Five courses on neural networks: training and tuning, structuring projects, convolutional networks, sequence models and transformers.
A free, code-first course by Jeremy Howard that has you training state-of-the-art models from the first lesson.
Harvard's CS50 AI: search, knowledge, uncertainty, optimisation, learning, neural networks and language, through Python projects.
Hugging Face's free course on large language models and NLP with the Transformers, Datasets and Tokenizers libraries.
A free course on building AI agents: tools, reasoning loops, frameworks and evaluation.
A non-technical course by Andrew Ng on what AI can and can't do, and how organisations adopt it.
Andrew Ng on how generative AI works, what it's good for, and how to use it in work and business.
A free introduction to AI for non-experts — no programming or complicated maths required.
Google's free, fast-paced introduction to machine learning, with videos, visualisations and exercises.
Google's entry-level data analytics programme: spreadsheets, SQL, Tableau and R, with a portfolio case study.
IBM's beginner programme in data science: Python, SQL, data analysis and visualisation, and machine learning.