AI

AI Prompt Engineer

Structured training in designing, testing, and refining prompts that reliably get large language models to do what you need — a practical, low-code entry point into AI work.

50
hours of live training
10 weeks
at one hour a day, weekdays
4
modules
24
topics covered

Before you start

Beginner-friendly. If you are not sure whether that describes you, the consultation exists to answer exactly that — and to tell you if a different programme is the better start.

Price

United Kingdom
£750
Canada
$1,750

Tax included — the price shown is the price you pay. This covers the training stage. The bootcamp and placement stages are priced separately.

Curriculum

A module-by-module breakdown

Everything covered in the program, in the order you'll cover it.

01Prompting Fundamentals

12 hours

Reliable output from a stochastic system

  • How tokenisation shapes behaviour
  • Zero-shot, few-shot & chain-of-thought
  • Role, context & instruction structure
  • Sampling parameters & determinism
  • Structured output & JSON schemas
  • Common prompt failure patterns

02Advanced Techniques

13 hours

Beyond single-shot prompts

  • Decomposition & prompt chaining
  • Self-consistency & reflection
  • Tool use & function calling
  • System prompt design for products
  • Prompt templating & variable injection
  • Model-specific behaviour differences

03Retrieval & Context Engineering

12 hours

Give the model the right information

  • Chunking & embedding strategy
  • Vector stores & similarity search
  • LangChain & LlamaIndex pipelines
  • Context window budgeting
  • Grounding & citation enforcement
  • Reducing hallucination measurably

04Evaluation & Operations

13 hours

Treat prompts as production assets

  • Building evaluation datasets
  • LLM-as-judge & rubric scoring
  • Regression testing prompt changes
  • Version control & prompt registries
  • Prompt injection & jailbreak defence
  • A capstone prompt system with evals

Projects

Five projects, in AI Prompt Engineer

The bootcamp runs the same five stages whatever you enrolled in, so the portfolio you finish with is deep in one technology rather than shallow across several. Each is scoped, designed, built and reviewed.

  1. 01 · Foundations

    A first build that puts the core concepts to work — environments configured, the basic workflows exercised, the fundamentals proven rather than assumed.

  2. 02 · Multiple moving parts

    A larger solution with several components and an integration or two, applying the practices that are conventional in your stack rather than improvising.

  3. 03 · Architecture that scales

    A design-led build: scalability, monitoring and the production-grade patterns your field actually uses, decided before they are implemented.

  4. 04 · An enterprise scenario

    A realistic situation with services that depend on each other, security to harden and performance to tune — the kind of work that is waiting on the other side of the offer.

  5. 05 · Capstone

    End to end, everything together: planned, designed, built, deployed and documented well enough to sit at the top of your GitHub profile.

What's included

Everything in the programme

The same seven things in every programme on the site — the subject is what changes.

  • Live training

    Taught live by a practitioner, not pre-recorded video you work through alone.

  • 50 hours

    Per programme as standard — 60 for IT Support Analyst, 70 for the AI Consultant and cloud engineering tracks.

  • Projects

    Five briefs in your own stack, each scoped, designed, built and reviewed the way a delivery team would.

  • Mentoring

    One mentor who stays with you for the whole programme, rather than whoever is free that week.

  • Resume & LinkedIn

    Both rewritten around the work you actually built, and positioned for the roles you are targeting.

  • Interview prep

    Mock interviews on the technical and the competency side, including defending the projects you built.

  • Placement support

    Your profile put in front of employers, and the search continues until you are hired.

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