AI Engineering online course
Learn. Build. Launch. The first AI Engineering course in Europe offering an optional accelerator to help turn your ideas into reality.

Self-paced, 100% online
Minimum 8-12h per week
3 months to graduate
Ideal for working professionals
1:1 mentoring and community access
Optional AI accelerator
“In numbers, there's probably going to be significantly more AI Engineers than there are ML engineers / LLM engineers.”
Open the door to the most in-demand tech careers
The AI Engineering course will give 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.
Professionals with AI expertise earn up to a 25% higher salary
AI Engineering Online-Kurs – Werde zum KI-Entwickler in nur 3 Monaten
Du möchtest dich zum AI Engineer weiterentwickeln und in nur 3 Monaten (bei 8–12 Stunden pro Woche) lernen, wie du mit LLM-Modellen, LangChain und AI Agents echte Anwendungen baust? Unser AI Engineering Kurs ist vollständig online, flexibel und bietet dir persönliche 1:1-Mentorings. Ob du AI Developer werden oder dich in KI Weiterbildung weiterqualifizieren willst – hier lernst du alles, was du für den Einstieg in High-Demand-KI-Rollen benötigst.
What can you expect?
Self-paced learning and flexible schedule
Learn at your own pace, anytime. We recommend 8-12 hours a week to meet deadlines, but you can adjust to fit your lifestyle with 24/7 access to materials.
Experience with practical projects
Build confidence tackling real business problems with mentor feedback. In four projects (~120 learning hours), you'll leverage AI to address real-world challenges.
1:1 mentoring
Receive detailed feedback from mentors.
AI tools and languages you’ll use
Program outline
This course, created by AI professionals, combines intensive sprints with practical, hands-on projects. Each sprint focuses on key areas of AI engineering, guiding you from foundational skills to building real-world applications.
Foundations of LLM Application Development
Lay the groundwork for developing Large Language Model (LLM) applications with a focus on understanding their capabilities and ethical implications. This sprint introduces you to key LLM concepts, such as prompt engineering and LLM settings, development environment in Python or JavaScript. Through hands-on labs, you’ll explore APIs like OpenAI, Anthropic, and other APIs, and practice crafting and optimizing effective prompts. By the end of this sprint, you’ll have a solid understanding of how to harness LLMs responsibly and effectively for real-world applications.
Building Applications with LangChain, RAGs, and Gradio
Dive deeper into the world of LLM-powered applications by learning to integrate external knowledge and build interactive tools. This sprint focuses on LangChain and its capabilities for enhancing LLM workflows, Retrieval-Augmented Generation (RAG) for accessing external data, and vector databases like ChromaDB for storing and retrieving embeddings. You’ll gain hands-on experience with building structured outputs, prototyping chatbots. The sprint culminates in using LangChain and Gradio to create applications that combine LLMs with real-world data, preparing you to build cutting-edge AI solutions.
AI Agents
Master the art of creating AI agents that can perform complex, automated tasks. This sprint introduces you to the fundamentals of AI agents, from basic chains to advanced agents capable of executing code, interacting with APIs, and performing long-term tasks. You’ll also explore memory mechanisms that enable agents to retain context over time. With hands-on labs and a final project, this sprint equips you to design and deploy intelligent, autonomous systems tailored to specific goals.
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.
Turn your AI ideas into startups
Interested in founding an AI startup? Learners of the AI Engineering Program can join our exclusive AI Accelerator, powered by Firstpick, to transform their innovative ideas into successful businesses. Whether you’re just starting or need the support to grow, this accelerator addresses the biggest challenges aspiring founders face.
Secure funding
Gain essential business and entrepreneurial skills
Find the right co-founder
Build connections
Learn from professionals
Our Senior Team Leads and mentors are experienced professionals who are 100% up-to-date with the industry trends and will provide you consultations, 1on1 project reviews, and feedback.

Flexible graduation: you set the pace
Die Kursdauer beträgt 3–4 Monate, abhängig davon, wie viel Zeit du investierst. Du kannst jedoch schneller fertig werden, wenn du intensiv lernst.
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How to get in
Our application process consists of three steps.
Application
You’ll complete an application form, sharing your personal and academic background with us.
Video/audio recording
You’ll record your answers to a set of questions that will help us assess if the program is the right fit for you.
Interview
Finally, you’ll have an interview call with our admissions manager.
Admission criteria:
Dedication of 8-12 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).
Clear motivation
You need to have a clear and strong motivation for joining this program, with specific goals and reasons for wanting to enhance your skills.
Coding experience
You need to have a minimum of 1 year of coding experience with Python or Javascript.
Fluent in English
You must demonstrate an English proficiency of at least B2 level to join the program.
Up-to-date computer
You will need a computer that allows you to freely install tools and has an actively supported and updated operating system.
Flexible financing options

Training with a Bildungsgutschein (SGB III)
All of our training courses can be financed 100% via an education voucher from the German employment agency or job centre in accordance with SGB III. This means that your participation in the course could be completely free of charge.
Upon successful completion, you will receive a certificate that you can add directly to your CV - important proof of your newly acquired skills for potential employers.
We have limited seats. Apply now!
Starting dates
June 2nd
Deadline for applications:
May 26, 2025
June 30th
Deadline for applications:
June 23, 2025
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.
FAQ
Is this AI Engineering course suitable for career changers?
Yes, if you have at least one year of coding experience. Many of our learners come from roles like software engineer, web developer, full-stack engineer, or product manager. If you’re looking to pivot into the AI field without going back to university, this 3–4 month program can get you there.
What can I do after completing the AI Engineering course? What roles are available to me?
After completing the AI Engineering course, you’ll be ready to apply for roles such as AI engineer, LLM engineer, ML engineer, or data scientist. You’ll also be well equipped for other tech roles that benefit from AI skills, including software engineer, backend developer, or web developer. The course is designed to give you hands-on experience and confidence to build AI-powered tools and systems, no matter the role you choose.
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.
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.
Will I get an AI Engineering certificate?
Yes. Once you complete the program and submit your final projects, you’ll receive a certificate verifying your skills and knowledge in AI Engineering.
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.
Can I become an AI engineer in 3 months?
Yes, if you already have a programming background, you can become an AI engineer 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 to become an AI engineer, 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 AI 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 tools and technologies will I learn in the AI Engineering course?
You’ll get hands-on experience with the exact tools companies are using to build AI-powered apps, including large language models (LLMs), LangChain, AI agents, and APIs like OpenAI, Google Gemini, and Anthropic. You’ll also work with retrieval-augmented generation (RAG), vector databases such as ChromaDB, and tools like Streamlit or Next.js. You’ll build projects using Python or JavaScript, depending on your background.
What does learning at Turing College look like? Are there live sessions or fixed schedules?
Learning at Turing College is self-paced and 100% online, which means you can fit your studies around your life, whether you’re working full-time, freelancing, or in between jobs. We recommend dedicating 8–12 hours per week to stay on track, although different rules may apply if you’re sponsored by a government with an educational voucher.
Once you join, you’ll get full access to our learning platform. This is where you’ll find everything you need — from text-based lessons and videos to project briefs and links to key resources — all available 24/7. The material is broken down into small parts called sprints. After each sprint, you’ll complete a practical project that helps you apply what you’ve learned and receive feedback from senior professionals.
While there are no live or recorded lectures, you won’t be learning alone. You’ll join our active Discord community, where you can connect with peers, ask questions, and get support. You can also participate in additional learning activities, including stand-ups and open sessions, to deepen your understanding and stay engaged.