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Artificial Intelligence

A live programme on building with modern AI systems — prompt design, retrieval, evaluation and the engineering needed to make AI features dependable inside a product.

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What you will be able to do

Outcomes

  • Build applications on top of language models
  • Design retrieval-augmented systems
  • Evaluate AI output systematically
  • Understand cost, latency and safety trade-offs

Curriculum

  1. 01

    Foundations

    • How modern models work
    • Tokenisation and context
    • Capabilities and limits
  2. 02

    Building with models

    • Prompt design
    • Structured output
    • Tool use
    • Agents
  3. 03

    Retrieval systems

    • Embeddings
    • Vector search
    • Chunking strategies
    • Grounding
  4. 04

    Production AI

    • Evaluation
    • Guardrails
    • Cost control
    • Capstone project

Projects you will build

  • Retrieval assistant over a document set
  • Evaluated AI feature inside a product

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