Our mentors bring first-hand experience from companies and universities such as:
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:
1:1 mentoring
Receive detailed feedback from mentors.
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
This course, created by AI professionals, combines three intensive sprints with practical, hands-on projects. Each sprint focuses on key skills, guiding you from the basics to building real-world applications.
Foundations of LLM Application Development
Learn what it actually takes to build with large language models (LLM). This sprint gives you the technical and ethical foundations you need to start strong. You’ll explore prompt engineering, learn about LLM settings, and get hands-on with Python or JavaScript. You’ll also experiment with APIs like OpenAI, Anthropic, and others to learn how to craft and tweak effective prompts. By the end, you’ll have a good understanding of how LLMs work and how to use them with intention and impact for real-world applications.
Building Applications with LangChain, RAGs, and Gradio
Here, you’ll discover how to build interactive tools. You’ll learn how to bring in external data using retrieval-augmented generation (RAG), work with vector databases like ChromaDB, and use LangChain to streamline LLM workflows. You’ll get practical experience building structured outputs, prototyping chatbots, and connecting LLMs to real-world data. By the end, you’ll have built your first full-stack LLM app using LangChain and Streamlit or Next.js.
AI Agents
Learn how to create AI agents that can perform complex, automated tasks. In this sprint, you’ll go from simple LLM chains to full agents that can make decisions, run code, call APIs, and carry out multi-step tasks. You’ll explore how memory works in agents so they can track context and perform more intelligently over time. With focused labs and a practical project, you’ll build agents that are useful, autonomous, and built for real-world use.
Is AI Engineering course for me? Yes, if:
You have tech background (worked in roles such as developer, software engineer or product manager) and are looking to transition into AI roles
You are a tech professional looking to explore AI-driven innovations
New to programming?
Our beginner-friendly Software & AI Engineering course might be a better fit for you.
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’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.
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.
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.
How application works
Our application process has three simple steps designed to help you and our team understand whether the program is the right next step for you.
Short form
Share a few basic details about your background and experience. This helps us understand your starting point.
Two open questions
Answer two short questions about your motivation and goals. You can respond in video, audio, or text format, and you can re-record or edit before submitting. There’s no need to prepare in advance.
Interview
Join a 20-minute online conversation with our admissions manager.This is a friendly discussion where you can ask questions and explore whether the program aligns with your goals.
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 are:
- Working on a computer (not a smartphone)
- Uninterrupted working time in a dedicated space
- Mentally rested, not fatigued (e.g., not after intense cognitive work)
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
You need to have a minimum of 1 year of coding experience with Python or Javascript.
Good English skills
You must demonstrate an English proficiency of at least B2 level to join the program.
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
Education voucher (Bildungsgutschein)
Best for
German residents eligible for a Bildungsgutschein
Course duration
Fixed, 3 months
Time commitment
30 h per week
Price
With a Bildungsgutschein
Upfront payment
Best for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 3-4 months
Time commitment
15+ h per week
Price
Installments
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 3-4 months
Time commitment
15+ h per week
Price
We have limited seats. Apply now!
Starting dates
April 14th
Deadline for applications:
April 7, 2026
May 11th
Deadline for applications:
May 4, 2026
Our graduates have achieved life changing growth. You can too.
Turing College has been a great experience. I loved the structure and content of the material. I had constant contact with instructors and peer learners. I find the peer and senior review concept really efficient.
Turing College changed my life forever! Studying at Turing College was one of the best things that happened to me.
Linda Oranya
Data scientist @ Metasite Data Insights
After the course, I was able to get into work and solve real business problems easily.
Ovidijus Kuzminas
ML engineer @ Oxus.AI
The sole fact that I joined Digital Marketing program by Turing College was a contributing factor to me getting a job.
Justas Sadauskas
Account Manager @ Defined Chase
I have finished two universities, and studied in most of the major online platforms to get extra certificates. And Turing College is one of the most advanced place so far.
Ignas Lukosevicius
Junior Media Buyer @ Pulsetto
Turing College is for those who want to master data science.
Edvard Sivickij
Data Analyst @ Kilo Health
FAQ
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 a “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?
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?
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.
What are the funding options?
We believe that financing should not be a blocker to knowledge. That’s why we offer several options. If you’re a resident of Germany, Bildungsgutschein could be an option for you — it’s a government funding program available for unemployed people. If you’re looking to pay from your own pocket, we offer zero-interest monthly installments or a 17% discount if you pay the full tuition upfront.
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?
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?
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. Sometimes our emails can get lost, so take a look to see if our message ended up there by mistake.
- Reach out to us via live chat. You’re already on our website, so click on the chat button at the lower right-hand corner of your screen. Our friendly team is always ready to help you out and make sure your application gets the attention it deserves.