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# Best free AI developer courses

A learning path for developers, from AI fundamentals to LLMs and agents, all free to learn from. Some charge only for the optional certificate. Ordered roughly beginner to advanced.

- [Elements of AI (University of Helsinki)](https://www.elementsofai.com/) — AI literacy without math or code. A good first step.
- [DeepLearning.AI short courses](https://www.deeplearning.ai/short-courses/) — 1–2 hour project courses co-built with companies. Sample one technique fast.
- [Generative AI for Beginners (Microsoft)](https://github.com/microsoft/generative-ai-for-beginners) — A full open curriculum on building generative AI apps.
- [Anthropic Academy](https://anthropic.skilljar.com/) — Free courses on Claude and the Claude API, with certificates.
- [Kaggle Learn](https://www.kaggle.com/learn) — Short, hands-on micro-courses. Intro to Machine Learning is the classic on-ramp.
- [CS50's Introduction to AI with Python (Harvard)](https://cs50.harvard.edu/ai/) — Rigorous AI fundamentals with real coding projects. You need basic Python.
- [Hugging Face LLM Course](https://huggingface.co/learn/llm-course) — How LLMs and transformers work, and how to use them in practice.
- [Practical Deep Learning for Coders (fast.ai)](https://course.fast.ai/) — Code-first deep learning for working developers.
- [Hugging Face Agents Course](https://huggingface.co/learn/agents-course) — Build AI agents step by step, with a free certificate.
- [Neural Networks: Zero to Hero (Andrej Karpathy)](https://karpathy.ai/zero-to-hero.html) — Build neural nets and a GPT from scratch. The deepest look at how LLMs work.
- [MIT 6.S191: Intro to Deep Learning](http://introtodeeplearning.com/) — University-grade deep learning lectures and labs.

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