Education voucher (Bildungsgutschein)
Best for
German residents eligible for a Bildungsgutschein
Course duration
Fixed, 3 months
Time commitment
30 h per week
Price
€0Fully funded
With a Bildungsgutschein
Claude Max (5x) + 25%100% funded with a Bildungsgutschein
AI Engineering programme
Build on your coding experience to develop, test and deploy AI applications. Create projects you can show employers, with 1:1 expert feedback and career support to help you prepare for your next role.
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.
Build on your coding experience for a career in AI engineering
In three months, learn to build, evaluate and deploy LLM applications and AI agents. Apply your Python or JavaScript experience to hands-on projects, with 1:1 expert feedback to improve your work and a portfolio to demonstrate your skills to employers.
The programme runs fully online, with 30 hours of learning per week, equivalent to 40 academic hours of 45 minutes each.
100% funded with a Bildungsgutschein
A Bildungsgutschein is an education voucher issued by the Agentur für Arbeit. If funding is approved for your place on our AI Engineering programme, it covers 100% of your tuition.
You may qualify if you are unemployed or at risk of unemployment, for example because your fixed-term contract is ending. Eligibility is assessed individually. Contact your Agentur für Arbeit or Jobcenter to discuss your situation.
Our AI Engineering programme is AZAV-certified and approved for Bildungsgutschein funding.
Our admissions team can help you prepare:
- Apply to Turing College and discuss the programme with our admissions team.
- We provide programme information for your funding appointment.
- Discuss your plans with your Agentur für Arbeit or Jobcenter. Prepare your CV, relevant job adverts and an explanation of how the programme supports your next career step.
The Agentur für Arbeit makes the final funding decision. Funding must be approved before you start the programme.
Looking for a self-funded alternative? Explore our flexible AI Engineering programme.
How the programme prepares you for AI engineering roles
A portfolio employers can review
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.
Career support built into your programme
Prepare for your next role alongside your technical projects. Use the career module to turn your experience and new AI skills into a focused job search, with opportunities to practise for interviews.
Explore your career supportDaily stand-ups, group sessions and 1:1 reviews
Your timetable includes daily stand-ups with your group. 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.
A structured full-time schedule
Follow a fixed full-time timetable, from your first project to a deployed capstone.
The tools you'll build with
Languages
- Python
- JavaScript
Frameworks
- LangChain
- LangGraph
- Streamlit
- Next.js
Models
- OpenAI GPT
- Google Gemini
- Meta Llama
- Anthropic Claude
Methods
- RAG
- MCP
- AI agents
- Prompt engineering
- Vector databases (ChromaDB)
Claude Team Premium included at no extra cost
Your Bildungsgutschein-funded AI Engineering programme includes a Premium seat on Claude's Team plan, giving you access to Claude and Claude Code, Anthropic's AI coding agent.
You get ~6 times the per-session usage allowance of Claude Pro.
Programme outline
Co-created with industry AI experts, this course combines four modules and 15 sprints of hands-on practice, delivered full-time over 3 months at 30 hours a week.
01Foundations of LLM application development
01Foundations of LLM application development
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.
Python / JavaScriptOpenAI APIAnthropic APIGoogle GeminiPrompt engineering
02Building applications with LangChain and RAG
02Building applications with LangChain and RAG
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.
LangChainRAGChromaDBStreamlitNext.js
03AI agents
03AI agents
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.
LangGraphAI agentsMemory systemsMCP
04Capstone project
04Capstone project
A self-directed project of your own design, taken from concept to a deployed, end-to-end LLM application.
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.
Learn online, but not alone
Join daily standups to share your progress, discuss what’s happening in the industry and get to know the people learning alongside you.
In workshops, industry professionals demonstrate practical skills, with topics often shaped by what learners want to explore that week. Learn from their experience, ask questions and exchange ideas with your peers.
Daily standups to share updates and build connections
Practical workshops led by industry professionals
Opportunities to learn from other learners’ experience
Experts who support you
You'll learn from professionals who work with AI every day, from ML engineers to data scientists and AI product managers. Our mentors bring experience from companies like IBM, Vinted, Nord Security, and Perplexity AI, giving you insights grounded in real practice.
What our learners build
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.
Find the right Turing College AI course for you
Compare the programmes to find one that fits your experience and the work you want to do.
The table shows Bildungsgutschein-funded study for AI Engineering and Building with AI Agents, and self-funded study for AI for Business.
Swipe to compare
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 |
| Bildungsgutschein | 100% funded | Not funded | 100% funded |
| Duration | 3 months, full time | 2 to 4 months | 3 months, full time |
| Hours per week | 30 (40 academic hours) | ~9 | 30 (40 academic hours) |
| 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 |
Paying for AI Engineering yourself? Explore the flexible learning option
Career support for your next role
Build your job search around your experience and new AI skills. With Bildungsgutschein-funded AI Engineering, you get a career module to identify suitable roles, prepare your applications and practise for interviews, plus regular live career sessions. You work through the career module before starting your capstone.
Job-search planning: identify target roles and analyse what employers are asking for.
CV and LinkedIn preparation: present your experience and skills clearly.
Mock HR and technical interviews: practise before real recruitment conversations.
Weekly career Q&A: bring your questions to live drop-in sessions.
Monthly career webinars: explore a different career topic each month.
How application works
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.
- 1
Application
Tell us about your background and answer two short questions about your motivation and goals. Your application goes straight to our admissions team, who review it personally and get back to you within 24 hours on working days. - 2
Consultation
If the programme matches your goals, we’ll invite you to a 20 to 30 minute consultation. This is your chance to ask anything, understand exactly how the programme works, check your financing options, and decide whether it’s the right fit for you.
Funding support (Bildungsgutschein)
If you're applying with a Bildungsgutschein, we'll guide you through the funding process after your consultation. We'll help you:
understand your eligibility
prepare for your appointment with your case worker (Vermittler)
Basic admission requirements:
30 focused hours per week
30 focused hours per week
Focused hours are:
- · Working on a computer (not a smartphone)
- · Uninterrupted working time in a dedicated space
- · Rested, not overworked (not after intense cognitive work)
Strong motivation
Strong motivation
You need a clear and strong reason for joining this programme. It should be your personal goal, and you should have specific reasons for wanting to improve your skills.
Coding experience
Coding experience
You need a minimum of 1 year of coding experience with Python or JavaScript.
Good English skills
Good English skills
You must demonstrate an English proficiency of at least B2 level to join the programme.
Up-to-date computer
Up-to-date computer
You'll need a computer that can handle large datasets smoothly and runs an actively supported and updated operating system.
Flexible payment and funding options
Upfront payment
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
€3,500Save 17%
14-day money-back guaranteeInstallments
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
€1,055x 4 months0% INTEREST
14-day money-back guaranteeWe have limited seats. Apply now!
Starting dates
October 21st
Deadline for applications: October 14, 2026
Our graduates have achieved life changing growth. You can too.
I'd been a programmer my whole life, and a year ago I was so drained I'd stopped coding completely. Turing College's AI Engineering program took out the boring parts and let me build what I cared about, and somewhere in there I found the joy in programming again. I came in self-taught with no CS degree, and I came out having shipped an AI coding agent, Kward, that I now use every day.
Kai Wood
AI Engineering learner
A unique learning experience powered by technology
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.
FAQ
Is AI engineering the right career for you in 2026?
Is AI engineering the right career for you in 2026?
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.
Can I use a Bildungsgutschein to study AI Engineering?
Can I use a Bildungsgutschein to study AI Engineering?
You may be able to use a Bildungsgutschein if you are registered in Germany and the Agentur für Arbeit or Jobcenter approves AI Engineering as suitable for your situation. Funding is decided individually and is not automatic. Speak to your advisor before the programme starts.
Can I receive a Bildungsgutschein if I am still employed?
Can I receive a Bildungsgutschein if I am still employed?
Possibly. Funding may be considered if you are at risk of losing your job, your fixed-term contract is ending, your industry is changing or you are affected by reduced working hours. Your advisor will assess your situation and decide whether the training is necessary.
How do I apply for a Bildungsgutschein?
How do I apply for a Bildungsgutschein?
First, apply to Turing College and complete the admissions process. If the programme is a suitable fit, we can provide the information you need for your funding application. Then book an appointment with your Agentur für Arbeit or Jobcenter. Take your CV, relevant job adverts and a clear explanation of the role you want to move towards. Your advisor makes the final decision.
What does the Bildungsgutschein cover?
What does the Bildungsgutschein cover?
If your application is approved for this specific programme, the Bildungsgutschein can cover the programme tuition. Your voucher will state the approved training goal, duration and other conditions. Ask your advisor which additional costs, if any, are covered in your case.
Is the AI Engineering programme taught in English?
Is the AI Engineering programme taught in English?
Yes. The programme is taught online in English. Your funding meeting with the Agentur für Arbeit or Jobcenter may take place in German.
How much time do I need for the programme?
How much time do I need for the programme?
The Bildungsgutschein programme runs for three months, full time, with around 30 hours of study each week. Learning takes place online on a fixed weekday schedule, so check that you can attend before applying.
Do I need previous coding experience?
Do I need previous coding experience?
Yes. You need at least one year of experience with Python or JavaScript. The programme builds on that foundation and teaches you to develop, evaluate and deploy applications using large language models, retrieval-augmented generation and AI agents.
What career support is included?
What career support is included?
During your programme access, you receive support with job-search planning, CV and LinkedIn preparation, mock HR and technical interviews, weekly career Q&A sessions and monthly career webinars. You also build practical projects and a capstone that you can use to demonstrate your skills to employers.
Does the programme guarantee a job?
Does the programme guarantee a job?
No course can guarantee a job. AI Engineering gives you applied skills, a portfolio and structured career support for roles involving LLM applications and AI systems. Your results will also depend on your previous experience, the roles you apply for and employer requirements.
Can I become an AI engineer in three months?
Can I become an AI engineer in three months?
You can build a practical AI engineering foundation in three months if you already have the required programming experience and can study full time. You will work with existing models and build real applications rather than train models from scratch. Whether you secure a particular role depends on your background and the jobs you apply for.
What if my Bildungsgutschein application is rejected?
What if my Bildungsgutschein application is rejected?
Ask for the decision in writing and check the reason given. If appropriate, you may be able to challenge the decision within the relevant deadline. Read how one Turing College learner challenged a rejection and went on to build KlarAmt, a tool designed to help other people navigate the Bildungsgutschein process: Bildungsgutschein rejected? How to appeal and win.
Should I choose AI Engineering or Building with AI Agents?
Should I choose AI Engineering or Building with AI Agents?
Choose AI Engineering if you have at least one year of Python or JavaScript experience and want to build, evaluate and deploy LLM applications and AI agents.
Choose Building with AI Agents if you want to turn a business or workplace problem into a working AI tool and do not need coding experience. You will learn how to plan, build, test and launch solutions such as internal tools, dashboards, websites and AI assistants.
Both programmes include practical projects and career support. The right choice depends mainly on your existing technical experience and the type of work you want to do next.
I have coding experience, but I want to become an AI product manager. Which programme should I choose?
I have coding experience, but I want to become an AI product manager. Which programme should I choose?
Choose AI Engineering if you want to stay close to the technical work and build, evaluate and deploy LLM applications and AI agents yourself.
Choose Building with AI Agents if your goal is to lead the development of practical AI tools, translate business needs into product ideas and work with AI systems without becoming a specialist software engineer. Coding experience can help, but it is not required.
If you want to combine product leadership with enough technical understanding to make strong decisions, either programme could be suitable. Choose based on the work you want to do next: building AI systems directly, or turning business problems into useful AI products.
Is AI Engineering suitable for experienced professionals changing direction?
Is AI Engineering suitable for experienced professionals changing direction?
Yes. The programme is designed for people who already have a programming foundation and want to apply it to AI engineering. Your previous industry experience can help you identify useful problems, build relevant projects and target roles where technical and domain knowledge overlap.
Next group starts on October 21st