Europe's first AI Engineering course that gets you job-ready in 3 months, or helps you found your own AI startup.
Our mentors bring first-hand experience from companies and universities such as:
The companies and institutions mentioned have no institutional affiliation or official partnership with Turing College.
Turing College's AI Engineering course gives you hands-on experience designing and building applications with Large Language Models (LLMs), LangChain, and AI agents. You'll learn the tools and gain the knowledge needed to thrive in high-demand AI roles like AI Engineer, LLM Engineer, ML Engineer, Software Engineer, Data Scientist and Backend Developer.
8x
Jobs requiring specialised AI skills are growing almost 8x faster than the overall jobs market
62%
Professionals with AI skills earn an average wage premium of 62%
Learn at your own pace, anytime. We recommend 10 hours a week to meet deadlines, but you can adjust to fit your lifestyle with 24/7 access to materials.
Build confidence tackling real business problems with mentor feedback. Across four projects, including a self-directed capstone, you'll use AI to address real-world challenges.
Receive detailed, personalised feedback from mentors who work in the field.
Co-created with industry AI experts, this course combines four modules and 15 sprints of hands-on practice, spread over 3-4 months at around 10 hours a week.
Understand how large language models work in practice: capabilities, limitations, and ethical considerations. Set up your development environment and integrate APIs from OpenAI, Anthropic, and Google. Master prompt engineering, including few-shot prompting and system message design.
Build LLM-powered applications that connect to external data sources using retrieval-augmented generation. Use ChromaDB for vector storage and LangChain to structure LLM workflows, then build your first full-stack app with Streamlit or Next.js.
Design and build AI agents that carry out multi-step tasks autonomously. Use LangGraph for agent development, and implement short and long-term memory so agents retain context over time.
AI Engineering graduates complete a self-directed capstone project as the final stage of the programme. Each project is built independently, using the tools and techniques covered throughout: LLMs, LangChain, RAG, vector databases, and AI agents. Projects are reviewed 1:1 by a senior industry mentor before completion.
An agentic AI system that automatically balances card game parameters using multi-agent orchestration and Monte Carlo simulation. Five specialist agents independently propose card adjustments in parallel, each responsible for a different game mechanic. The system converges to a fitness score of 0.92 in 7 to 15 iterations.
Created by: Oleg Reva, AI Engineering learner
An offline-first, privacy-focused manufacturability analysis system for industrial environments. Given a CAD file, the engine extracts geometry features and evaluates them against rule sets for eight manufacturing processes. Engineering decisions remain deterministic and auditable.
Created by: Tamás Vetési, AI Engineering learner
An LLM application that assists users with knowledge retrieval from a store of over 100 PDFs, each 30 to 100 pages long. Short-term and long-term memory augment user queries, preserving context across sessions for more targeted answers. Built to be knowledge-domain agnostic.
Created by: Trung Ta, AI Engineering learner
Compare AI for Business, Building with AI Agents, and AI Engineering by coding experience, time commitment, and what you'll build.
AI for Business
Building with AI Agents
AI Engineering
Coding experience needed
None
None (you direct AI coding agents like Claude Code instead of writing code yourself)
At least 1 year in Python or JavaScript
Best for
Business professionals, from marketing to finance to operations, who want to use AI confidently without becoming too technical
Professionals who already have an idea for something to build and want the confidence and structure to actually ship it
Developers who want to specialise in building LLM applications and AI agents
Duration
2-4 months
3-4 months
3-4 months
Weekly time commitment
9 hours a week
12 hours a week
10 hours a week
Examples of projects you will build
Clean and explore real datasets in spreadsheets or SQL, run A/B tests and calculate KPIs, and build no-code automations with tools like Zapier
A deployed full-stack web or mobile app with auth, database, and payments, capstone of your own design
LLM applications, RAG systems, and AI agents, capstone: a deployed end-to-end LLM application
Key tools
ChatGPT, Gemini, Claude, n8n, Zapier, Python with AI
Claude Code, Next.js, Supabase, Vercel, MCP
LangChain, LangGraph, RAG, ChromaDB, MCP
We don't make empty job promises. Instead, we focus on what actually works: real-world skills, personalized career support, and a strong portfolio that shows employers what you can do.
Our Senior Team Leads are experienced AI engineers, data scientists, and machine learning professionals currently working at companies like IBM, Vinted, and Telia. They bring real industry expertise into every session - reviewing your projects 1:1, giving personalised technical feedback, and helping you think like a professional engineer.
When you submit a project, you book a 1:1 review directly from their availability calendar. Open Sessions work the same way. With a wide pool of industry experts available, each session is a chance to learn from someone actively building AI systems in the field today.
MSc Machine Learning, University of Cambridge
Lukas has 5 years of experience in software engineering and AI. At Spike Technologies, he builds voice agents - the same type of systems you will work on in the programme. He brings both research depth and hands-on industry experience to every project review.
PhD in Urban Engineering, US patent in machine learning
Vytautas has 8+ years of experience across GenAI, multi-agent systems, statistics, and automation. His work has supported international clients in the UAE, Switzerland, and the UK. At Turing College, he helps learners turn complex ideas into practical, deployable skills.
PhD in Astrophysics, US patent in machine learning
Algimantas specialises in natural language processing and large language models. After completing a PhD in Astrophysics, he transitioned into data science and now works at IBM's Client Innovation Center. His research has led to scientific publications and a US patent in machine learning.
Our application process has two simple steps designed to help you and our team understand whether the program is the right next step for you.
Focused hours are:
You’re resident of:
Best for
German residents eligible for a Bildungsgutschein
Course duration
Fixed, 3 months
Time commitment
30 h per week
Price
Best for
German residents eligible for QCG (Qualifizierungschancengesetz) employer-supported funding
Course duration
Fixed, 3 months
Time commitment
30 h per week
Price
With QCG funding
30-day money-back guaranteeBest for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 3-4 months
Time commitment
10+ h per week
Price
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 3-4 months
Time commitment
10+ h per week
Price
Best for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 3-4 months
Time commitment
10+ h per week
Price
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 3-4 months
Time commitment
10+ h per week
Price
Starting dates
August 24th
Deadline for applications: 2026-08-17
September 21st
Deadline for applications: 2026-09-14
Independently rated 4.9/5 by AI Engineering graduates on Trustpilot and Course Report.
What AI engineers earn across Europe, based on ERI SalaryExpert, Robert Half, Glassdoor, Bitkom, and the Stack Overflow Developer Survey 2025.
€64k to €103k+
Entry: €64k / Mid: €90k / Senior: €103k+
Germany is one of Europe's fastest-growing markets for AI engineers. Bitkom's latest study puts the current shortage at 109,000 unfilled IT positions nationally, with AI specialist roles among the hardest to fill.
Source: ERI SalaryExpert, July 2026; Bitkom, Der Arbeitsmarkt für IT-Fachkräfte 2026
£50k to £90k
Entry: £50k / Mid: £66k / Senior: £90k
Specialist AI job postings surged 61% in the UK over the past year. In London specifically, Robert Half puts senior AI engineer salaries as high as £122,500.
Source: Robert Half UK, 2026; PwC UK 2026 AI Jobs Barometer.
€58k to €100k
Entry: €58k / Mid: €72k / Senior: €100k+
Amsterdam is one of Europe's leading tech hubs for AI roles. Skilled migrants may benefit from the Dutch 30% tax ruling, currently available for up to five years (this drops to a flat 27% for new applicants from January 2027).
Source: Glassdoor Amsterdam, 2026
Online learning is tough when you're left on your own. That's why we built Intra, our learning platform that combines the best of both worlds: human support and smart structure. We're also developing adaptive AI features to further personalize learning so that, in the future, your journey will adjust closely to your pace, needs, and progress.
