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
Independent directory. We do not run these courses and we are not affiliated with the providers. Each listing points to the official site so you can confirm price, access, and terms there. Read why.
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.