Generative AI & LLM Engineering: Transformers to Agents | Shorts

A practical 40-lesson follow-on to "Machine Learning from Zero to Advanced". Go from how GPT models are trained and sampled, through prompting, embeddings, vector search, RAG and fine-tuning, to tool-using agents, MCP and production serving. It ends with four capstone projects and a roadmap. Every lesson gives intuition, math, a worked numeric example and runnable provider-neutral Python.

Shorts

10

Hours of video

0.2

Minutes of reading

10

Finished here

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