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RESOURCES

A curated starting point for learning, building and thinking critically about artificial intelligence.

KAI — 2026

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01
Foundations — Google for Developers

Google Machine Learning Crash Course

A practical introduction to machine learning fundamentals with short lessons, interactive visualisations and hands-on exercises covering models, data, neural networks, LLMs and responsible ML.

02
Deep Learning — fast.ai

Practical Deep Learning for Coders

A free, hands-on deep learning course for people with some coding experience, focused on building useful models and understanding the ideas through practical work.

03
LLMs — Hugging Face

Hugging Face LLM Course

A free technical course covering transformers, datasets, tokenisation, fine-tuning and modern large-language-model workflows using the Hugging Face ecosystem.

04
Applied AI — OpenAI

OpenAI Academy

A practical learning hub covering AI foundations, applied AI, prompting, agents and workflows, with courses and sessions for learners from beginner to builder level.

05
Responsible AI — Google PAIR

People + AI Guidebook

A practical guide to designing useful, responsible and human-centred AI products, with frameworks for understanding users, defining AI behaviour and evaluating solutions.

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AI SOCIETY

Student-led at King's College London.
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