AI & Machine Learning

Generative AI & Large Language Models

Go beneath the chat window. See how text becomes tokens and vectors, how attention lets a model use context, and how training turns a next-token predictor into a capable assistant — then apply that understanding to prompting, retrieval and evaluation.

  • Intermediate
  • 14 lectures
  • About 7 hours
  • 5 free lectures (90 min)
Start free lecture 1

What you’ll learn

  • Explain next-token prediction, sampling and temperature to engineers and stakeholders
  • Reason about tokens, embeddings and context windows when estimating cost and latency
  • Describe self-attention and the transformer architecture without hand-waving
  • Choose between prompting, retrieval-augmented generation and fine-tuning
  • Design evaluation and guardrails for LLM features in production

Curriculum

Module 1 · How language models work

5 lectures
  1. 01What a language model really doesInteractiveFree16 min
  2. 02Tokens and embeddings3D modelFree18 min
  3. 03Attention: how context flowsInteractiveFree19 min
  4. 04Inside the transformer3D modelFree19 min
  5. 05How LLMs are trainedInteractiveFree18 min

Module 2 · Building with LLMs

5 lectures
  1. 06Prompt design that survives productionIncluded with the course
  2. 07Context windows, cost and latencyIncluded with the course
  3. 08Retrieval-augmented generation (RAG)Included with the course
  4. 09Vector search and embedding storesIncluded with the course
  5. 10Tool use and function callingIncluded with the course

Module 3 · Shipping AI responsibly

4 lectures
  1. 11Evaluating LLM applicationsIncluded with the course
  2. 12Hallucinations, guardrails and safetyIncluded with the course
  3. 13AI agents: planning and orchestrationIncluded with the course
  4. 14Capstone: a document Q&A assistantIncluded with the course

Who this course is for

  • Software engineers adding AI features to products
  • Tech leads and architects evaluating LLM platforms
  • Data professionals moving into generative AI

Before you start

Comfort with basic programming ideas. No machine-learning background is needed — every concept is built from first principles.

Keep going

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Training a team on this?

We can combine Generative AI & Large Language Models with other courses into a learning path built around your team’s roles and goals.