Europe's first AI Engineering course that gets you job-ready in 3-4 months, or helps you found your own AI startup.
88%*
of graduates get hired 6+ months after graduation
*Germany, as of July 2026. Includes learners whose programme ended at least six months earlier and whose employment status could be confirmed. Unconfirmed outcomes were excluded.
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%
Build four AI applications and get technical feedback on each one. The last is a capstone of your own design, taken from concept to a deployed, end-to-end LLM application. All four are hosted and documented, so you can show employers working projects, not just a certificate.
Each project gets a 1:1 review with a Senior Team Lead, an experienced AI engineer who gives you technical feedback on what to improve. Between reviews, you can join open sessions, group calls where you discuss your projects, the course material and questions about working in AI. You can also join workshops on specific AI tools and processes. You get used to explaining your work and solving problems with others, the way you would in an engineering team.
Set your own pace, with 24/7 access to materials, so you can keep working while you build the skills for an AI engineering role.
Languages
Frameworks
Models
Methods
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.
Compare the programmes to find one that fits your experience and the work you want to do.
The durations and weekly hours shown are for self-funded study.
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This programme AI Engineering | AI for Business | Building with AI Agents | |
|---|---|---|---|
| Who it's for | Developers who want to use their coding skills to build, evaluate and deploy LLM applications and AI agents | Professionals in marketing, finance and operations who want to use AI to analyse information, create content and automate recurring tasks | Professionals in consulting, marketing, product, sales, finance and operations who want to build their own tools to solve business problems |
| Coding experience needed | At least 1 year of Python or JavaScript | None | None |
| Duration | 3 to 4 months | 2 to 4 months | 3.5 to 4.5 months |
| Hours per week | ~10 | ~9 | ~12 |
| What you'll build | Applications that answer questions using external data (RAG), agents that carry out multi-step tasks, and an independently designed AI application | Presentations, AI-assisted spreadsheet analyses and automated workflows that connect apps to summarise, organise or route information | Deployed tools for tasks such as managing documents or finding information, an AI assistant, and a final AI application you design and build yourself |
| Key tools |
Living in Germany? AI Engineering can be 100% funded with a Bildungsgutschein. AI Engineering with a Bildungsgutschein
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 programme 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
October 21st
Deadline for applications: October 14, 2026
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've also built adaptive AI features that personalise your learning even further - so your journey adjusts closely to your pace, needs, and progress.
AI Engineering could be a good fit if you want to build and deploy AI applications, develop a portfolio of real projects and use those projects to demonstrate your skills to employers. It suits people who enjoy solving difficult problems, learning continuously and working through uncertainty.
You’ll need a solid coding foundation and the motivation to keep developing your technical skills. Watch the video to explore five questions that can help you decide whether AI Engineering fits your experience, working style and career plans.
