DeepLearning.AIBeginner
ChatGPT Prompt Engineering for Developers
A short, hands-on course on writing effective prompts for LLMs, taught by Isa Fulford and Andrew Ng.
2 hoursFree
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A short, hands-on course on writing effective prompts for LLMs, taught by Isa Fulford and Andrew Ng.
Andrew Ng's foundational five-course series on neural networks, sequence models, and structuring ML projects.
A non-technical introduction to how generative AI works and where it can move the needle in your work.
Build stateful, multi-step AI agents with LangGraph. Tool use, control flow, human-in-the-loop.
The non-technical course every executive should take. What AI can and cannot do, in plain English.
Go from prompt-tinkering to shipping production systems. Chains, evals, moderation, and structured outputs.
Stanford's legendary CS231n. The deep learning canon for computer vision, freely available.
When and how to fine-tune. Data curation, LoRA, evaluation, and the trade-offs against RAG.
The clearest introduction to LangChain. Build chains, agents, memory, and retrieval over your own data.
The most popular entry-level ML course on the internet, rebuilt for 2024 by Andrew Ng. Linear regression to neural networks.
A rigorous, calm look at the hard ethical questions around AI deployment. Surveillance, bias, labor, and existential risk.