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 program
Learn how to build real AI applications using GPT, LangChain, and AI agents — with 1:1 expert support and a job-ready portfolio.
88%*
of graduates get hired 6+ months after graduation
*Germany, as of July 2026. Includes learners whose program 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.
Learn AI engineering in just 3 months
Want to upskill as an AI engineer and learn how to build real applications using LLMs, LangChain, and AI agents? In just 3 months (at 30 hours per week), this fully online course gives you the skills, tools, and 1:1 expert feedback to break into high-demand AI roles. Learn hands-on from industry experts and receive full career support, 100% funded with a Bildungsgutschein.
100% funded with Bildungsgutschein
Germany's Bildungsgutschein is an educational voucher provided by Agentur für Arbeit, which helps job seekers upskill into high-demand fields like data analytics. It covers 100% of the tuition, so if you're unemployed or navigating a career change, you can join this course at zero cost.
Our program is AZAV-certified, meaning it meets Germany's national standards for job-relevant, high-quality training.
We'll guide you through the entire Bildungsgutschein process — from registration to your first day of learning.
Not eligible for a Bildungsgutschein? Our part-time AI Engineering course could be a great alternative for you.
What can you expect?
Learn by doing
Apply your knowledge immediately in 4 real-world projects.
Essential tech stack
You'll gain in-depth experience with:
- Python
- Javascript
- LangChain
- LangGraph
- Retrieval-Augmented Generation (RAG)
- OpenAI GPT models
- Google Gemini
- Meta Llama
- Anthropic Claude
- Prompt engineering
- Vector databases
- Streamlit
- Next.js
- AI agents
1:1 mentoring
Receive detailed feedback from mentors.
Get Claude Max (6x) for free
Claude Code is Anthropic's AI coding agent. Engineers at top companies use it daily to ship production software faster. With your Bildungsgutschein, Claude Max (5x) access is included at no extra cost — with around 25% more usage. You'll learn to use Claude Code the way working engineers do.
Program details and content
The goal of AI Engineering program is to equip you with the skills to build real-world applications using large language models (LLMs). You'll go from foundational concepts to full-stack AI products in just 3 months.
- Prompt engineering and LLM APIs
- Crafting, testing, and optimizing prompts for real use cases
- LangChain and RAG
- Connecting LLMs to external data and building structured workflows
- AI agents
- Building autonomous systems that make decisions, call APIs, and run code
- Capstone project
- Designing and delivering your own end-to-end LLM-powered application
Program 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.
Is AI Engineering the Right Career for You in 2026?
Learn online, but not alone
Online learning can feel isolating, but not here. Our program is designed for people re-entering the workforce, especially those who are unemployed or at risk of unemployment. You learn at your own pace, but with consistent support every step of the way.
Expect structure without rigidity: commit at least 30 hours per week, progress only when you're ready, and get regular feedback from experienced tech professionals. You'll gain real-world skills through hands-on projects and prepare for a confident return to work in a future-proof tech career.
Practical projects for real experience
Feedback from senior team leads
Collaboration within the learner community
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.
Card Battle Auto-Balancer
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.
LangGraphOpenAI GPT-4o-miniGradioAWS App RunnerMonte Carlo simulation
Created by: Oleg Reva, AI Engineering learner
Manufacturing Design Review Engine
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.
LangChainLangGraphFAISSOllamaStreamlit
Created by: Tamás Vetési, AI Engineering learner
RAG-powered knowledge assistant
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.
LangChainChromaDBOpenAIStreamlitMemory systems
Created by: Trung Ta, AI Engineering learner
No code, some code, or all code? Find your Turing College AI course
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
3 months
3 months
3 months
Weekly time commitment
30 hours per week
30 hours per week
30 hours per 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
Kickstart your AI Engineering career
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.
- HR and technical mock interviews
- CV and LinkedIn optimization
- Live career sessions
How application works
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.
- 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 program matches your goals, we’ll invite you to a 20-30 minute consultation. This is your chance to ask anything, understand exactly how the program 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 the interview. We'll help you:
understand your eligibility
prepare for your appointment with your case worker (Vermittler)
Basic admission requirements:
Focused hours/week
Focused hours/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 program. 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 program.
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
August 24th
Deadline for applications: August 17, 2026
September 21st
Deadline for applications: September 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
Can I fund the program with the Bildungsgutschein from the Agentur für Arbeit?
Can I fund the program with the Bildungsgutschein from the Agentur für Arbeit?
Yes! If you’re unemployed or at risk of losing your job and are officially registered in Germany, you can complete the course as an "AI Engineering" training program free of charge. Simply speak with your advisor at the Agentur für Arbeit or Jobcenter.
How can I get a Bildungsgutschein?
How can I get a Bildungsgutschein?
You’ll need to book an appointment at the Agentur für Arbeit/Jobcenter. During this meeting, your assigned advisor will assess whether you meet the eligibility criteria for funding. You can find your local Agentur für Arbeit by Googling your city and "Agentur für Arbeit".
Is the program also suitable for career changers?
Is the program also suitable for career changers?
Yes, as long as you have some basic technical knowledge (e.g., in software development or IT). We'll guide you step by step through topics like building with LLMs, using LangChain, and applying RAG architectures. Even if you're not an AI professional, you'll learn everything you need to become an AI developer.
Can I become an AI engineer in 3 months?
Can I become an AI engineer in 3 months?
Yes, if you already have a programming background, you can upskill in as little as 3 to 4 months. Our course doesn't focus on building models or algorithms from scratch (that's typically the domain of AI researchers with academic backgrounds). Instead, we teach you how to use pre-trained models (GPT, Gemini, Llama or Anthropic) to build real-world AI applications. By the end of the program, you'll gain hands-on experience with the tools companies are hiring for today — and build a portfolio of projects to show it.
Do I need a PhD to become an AI engineer?
Do I need a PhD to become an AI engineer?
You don't need a PhD for that, but you do need a solid programming background. It's important to understand that AI engineering is not the same as research-based roles, which typically require academic knowledge in maths and computer science. There is a much bigger demand for practical engineers than for researchers, and the role is also far more hands-on. If you're interested in using existing AI models to build real applications, this 3–4 month course will give you the skills and support you need.
What if I haven't heard from Turing College within 24 hours of applying?
What if I haven't heard from Turing College within 24 hours of applying?
If it's been more than 24 hours since you submitted your application and you haven't received a response from us, here's what you can do: check your spam/promotions folder, as sometimes our emails can get lost; or reach out to us via live chat by clicking the chat button at the lower right-hand corner of your screen. Our friendly team is always ready to help make sure your application gets the attention it deserves.
Next group starts on August 24th