DeepLearning.AIAdvanced
Fine-tuning Large Language Models
When and how to fine-tune. Data curation, LoRA, evaluation, and the trade-offs against RAG.
Duration2 hours
PriceFree
FormatInteractive
LevelAdvanced
When and how to fine-tune. Data curation, LoRA, evaluation, and the trade-offs against RAG.
A short, hands-on course on writing effective prompts for LLMs, taught by Isa Fulford and Andrew Ng.
Build stateful, multi-step AI agents with LangGraph. Tool use, control flow, human-in-the-loop.
Go from prompt-tinkering to shipping production systems. Chains, evals, moderation, and structured outputs.