Enrolling now

AI Engineering

Build, deploy and run real AI systems. Learn to orchestrate large language models, design agentic AI that uses tools and data, and put models into production with MLOps practices employers rely on.

Course at a glance

  • 6 monthsStructured, curriculum-based
  • £5,495or from £457.91/month
  • Azure AI · AWS ML prep1 exam voucher + prep guidance
  • 2 projectsAssessed AI engineering portfolio
Who it’s for

One course, three starting points

The same 6-month course is built for career changers, experienced upskillers and complete beginners. We tailor support to where you’re starting from.

Career changers

Moving into tech from another field. We build your skills, portfolio and confidence from the ground up.

Upskillers with experience

Already working in tech or a related role. Go deeper, fill the gaps and step into a more senior or specialist position.

Learning from scratch

No technical background yet. We start with the fundamentals and support you all the way through.

What’s included

Five packages. One complete route into AI Engineering.

Every part of the course is designed to give you skills you can demonstrate — and evidence employers can check.

Live labs

Hands-on labs building production-style AI applications with modern tooling.

  • Python and APIs for AI engineering
  • LLM prompting, retrieval (RAG) and orchestration
  • Building tool-using, multi-step AI agents
  • Evaluation, guardrails and testing for LLM apps
  • MLOps: deploying, versioning and monitoring models
  • Capstone: a production-ready agentic AI application

Simulated work experience

Work on realistic industry projects built from real-world scenarios, so you graduate with a portfolio employers can see.

  • Build an AI assistant for a simulated client brief
  • Design a RAG pipeline over realistic company documents
  • Ship and monitor a model through a CI/CD pipeline
  • Write a technical design document and present it for review

Interview preparation

Coaching from AI and machine learning practitioners.

  • 2 one-to-one mock interviews with feedback
  • Technical prep: Python, ML fundamentals and LLM system design
  • Behavioural interview coaching
  • CV, GitHub and portfolio review

Certification exam prep

A voucher for one professional certification exam, plus guidance on finding and accessing the right materials to prepare.

  • Voucher for 1 professional certification exam
  • Choose your exam: Azure AI Engineer Associate (AI-102) or AWS Certified Machine Learning Engineer – Associate
  • Guidance on finding and accessing exam prep materials
  • Exam strategy and scheduling support

Job references & portfolio

An assessed portfolio of AI projects to show employers.

  • Assessed portfolio with 2 AI engineering projects
  • A SkillBridge reference based on the projects you complete
  • Industry-recognised completion certificate
  • LinkedIn and GitHub profile review

Is this course for you?

Ideal if you enjoy building things, solving problems and want to work at the cutting edge of AI. Whether you’re starting from scratch or already code, we’ll assess your starting point in a free consultation.

Talk to us
Price & payment plans

£5,495 for the full 6-month course

Pay in full, or spread the cost over 6 or 12 monthly instalments arranged directly with us — no interest, no fees and no third-party lenders. The total is the same whichever option you choose, and the price is the same whether you’re a career changer, an upskiller or starting from scratch.

On the 12-month plan, payments continue for 6 months after the course ends. Where the price doesn’t divide evenly, the last instalment is a few pence higher (6-month plan: final payment £915.85; 12-month plan: final payment £457.99).

Payment options
from £457.91
per month on the 12-month plan
Pay in full£5,495
6 monthly payments£915.83 a month
final payment £915.85
12 monthly payments£457.91 a month
final payment £457.99
Total, any option£5,495
Career outlook

Where this course can take you

Graduates are prepared to apply for roles such as those listed here.

Individual outcomes vary; we do not guarantee employment. See our honest outcomes.

  • Junior AI Engineer
  • Generative AI / LLM Developer
  • MLOps Engineer
  • Junior Machine Learning Engineer