Free course on freeCodeCamp
freeCodeCamp's Learn Generative AI in 23 Hours is a free video course covering the breadth of generative AI: how LLMs work, prompt engineering, RAG, agents, fine-tuning, and deploying AI applications. It's a broad survey on freeCodeCamp.org. After finishing, you understand the generative AI space and can decide which specialty to pursue. The main limitation: 23 hours for the full generative AI stack means nothing gets deep coverage. This is a map, not mastery. Follow up with shorter, focused courses on whatever topics matter for your goals.
The generative AI market is projected to reach $1.3 trillion by 2032, with software development being the highest-impact application (source: Bloomberg Intelligence).
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Generative AIIntermediate
Harvard's introduction to AI with Python. Covers search, knowledge representation, uncertainty, optimisation, machine learning, neural networks, and NLP.
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Learn to build and deploy with transformers and large language models in this 12-chapter course from Hugging Face. You'll start with NLP fundamentals, then move into modern LLM techniques: tokenization, fine-tuning, reasoning models, and building shareable demos. By the end, you'll know how to use pre-trained models, customize them on your own data, and integrate them into real applications. Best if you have some Python experience; the course assumes basic familiarity with machine learning. Fair warning: LLM chapters move fast, so budget time for rereading.
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fast.ai's legendary course on deep learning for practitioners. Takes a top-down approach: you build real models in lesson 1 and understand the theory gradually. Covers CV, NLP, tabular data, and stable diffusion. Completely free.