Generative AIBeginner
Learn Generative AI in 23 Hours
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Free course on DeepLearning.AI
DeepLearning.AI's LangChain for LLM Application Development teaches you to build AI apps using LangChain, the most popular framework for chaining language models with tools and memory. You learn models, prompts, chains, memory, agents, and document Q&A. The course is free on deeplearning.ai and takes about 2 hours. After finishing, you can build chatbots that remember conversations and agents that use tools to answer questions. The main limitation: LangChain evolves fast. Some patterns taught here may have been updated in newer LangChain versions.
LangChain has passed 100,000 stars on GitHub, more than any other LLM application framework (source: github.com/langchain-ai/langchain).
The definitive short course on building with LangChain, taught by its creator Harrison Chase alongside Andrew Ng. Covers document loading, splitting, vector stores, retrieval, and agents. Free.
Generative AIBeginner
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.
Generative AIIntermediate
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.