Course materials

LangChain for LLM Application Development is an online course presented by DeepLearning.AI, featuring LangChain founder Harrison Chase and Andrew Ng.

Transformer LLMs work on the principle that DeepLearning.AI and Jay Alammar and Maarten Grootend, authors of Hands-On Large Language Models...

Staying ahead in the age of AI is an AI leadership guide from OpenAI that helps business leaders maintain a competitive edge in the age of AI. The guide points to the rapid growth of AI, with faster model releases, lower costs, and faster enterprise adoption...

Fundamentals of Large Models provides an in-depth analysis of the core technologies and practical paths of Large Language Models (LLMs). Starting from the fundamental theory of language modeling, it systematically explains the principles of model design based on statistics, recurrent neural networks (RNN), and Transformer architecture, focusing on the three major big language model...

ChatGPT Tip Engineering for Developers is a joint DeepLearning.AI and OpenAI course designed for developers, featuring Isa Fulford, Andrew Ng to teach how to use Large Language Models (LLMs...

MIT's latest report, The Generative AI Divide: the State of Business AI in 2025, reveals the core of the generative AI (GenAI) adoption process that companies are experiencing through in-depth research of more than 300 AI projects, interviews with 52 organizations, and a survey of 153 executives...

Hands-On Learning AI: Artificial Intelligence General Knowledge and Practice" of AliCloud, in conjunction with Superstar Erlang, is a systematic learning course on AI for learners of different professional backgrounds. The course is taught by master teachers from five top universities, with comprehensive content, from the development history of AI, core technology to ethical security, etc., to build a complete body of knowledge...