AI Engineering Bootcamp
Do you want to be prepared for the AI hype and secure your career for the future? With this bootcamp in generative AI, you'll make your career future-proof!
- Duration
- 18 weeks (144 hours)
- Time per week
- 8 hours
- Courses
- 6 courses
Who this is for
This fits you if
- Anyone who wants to start a career in AI — from scratch.
Another option may suit you better if
- You have never programmed before. Start with Programming with Python Course, Applied AI Bootcamp first.
- You want to use AI tools rather than build them. Take a look at Applied AI Bootcamp instead.
- You cannot free up 8 hours a week for 18 weeks. Take the courses separately.
Not sure? Plan a free study advice call
Prerequisites
- Basic programming experience (e.g. Python fundamentals).
What you'll learn
- What it's like to work as an AI engineer through hands-on experience.
- How to apply prompt engineering and build your own AI model.
- How to further develop your skills in AI and related topics.
- How to apply your AI knowledge directly in real-world scenarios.
The program
Multiple courses of a few weeks each, building on one another.
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1
AI Fundamentals Course
3 weeksThe foundation course for every AI professional. Understand what AI is, how large language models work, and how to apply generative AI in your own field.
Taught by Patrick Pisani
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2
Engineering AI Solutions on Azure Course
3 weeksLearn to work with Azure to design, develop and deploy AI-powered solutions including NLP, Generative AI, and Computer Vision.
Taught by Akos Steger
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3
Building AI Agents with LangChain Course
3 weeksLearn LangChain, a powerful framework for building applications with large language models. Connect models to external data sources and build custom AI agents.
Taught by Rohit Kumar Singh
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4
Programming with AI (Claude Code) Course
3 weeksAI-assisted development is the new normal. In this hands-on course you'll learn to direct Claude Code as an agentic coding tool inside a real repository — from context engineering to spec-driven, production-ready delivery.
Taught by Tristan Bains
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5
AI Literacy & Ethics Course
3 weeksExplore the ethical, legal, and social implications of AI including the EU AI Act. Learn to evaluate and design responsible AI strategies.
Taught by Hanan ElNaghy
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Final Assignment: AI Engineering
3 weeksThe closing module of the AI Engineering Bootcamp — apply everything you've learned to a real, practical generative AI project.
Taught by Ali Hurriyetoglu
What a week looks like
Every course in this bootcamp runs for 3 weeks, and every week looks like this.
8 hours per week
5 hours
Self-study
Course material and exercises on our learning platform, whenever suits you.
1 hour
Live with your teacher
A fixed moment every week, online or at Science Park. Small group, so you get to participate.
2 hours
On your own work
Do the assignment on your own data and your own situation. No exercise files.
Teachers for this bootcamp
Patrick Pisani
Data Analytics and Business Intelligence
Patrick is a data analyst with experience across finance, tech, and government, including forecasting models at Just Eat Takeaway.com. He teaches data and AI fundamentals courses.
Courses in this bootcamp
Akos Steger
RAG, Language Technology, Deep Learning
Akos trained originally as a linguist before moving into AI and language technology, and now teaches machine learning, RAG, deep learning, and language-technology courses.
Courses in this bootcamp
Rohit Kumar Singh
AI Engineering and LangChain
Rohit spent nine years at IBM building production AI systems, including RAG pipelines and LangChain applications on Azure and AWS, and teaches AI Engineering and LangChain app-building.
Courses in this bootcamp
Tristan Bains
Head of Technology
Tristan builds the technology behind the academy: our learning platform, the automations that keep everything running, and the adaptive learning work that personalises how you move through a programme.
Courses in this bootcamp
Hanan ElNaghy
AI Literacy, Machine Learning, Python
Hanan holds a PhD in computer vision and is an Assistant Professor in Cairo alongside her work here. She teaches AI literacy and ethics, machine learning, Python, and prompt engineering.
Courses in this bootcamp
Ali Hurriyetoglu
Data Engineering and Data Stack
Ali holds a PhD plus degrees in cognitive science and computer engineering, and teaches data pipeline, data stack, and AI model courses, drawing on academic teaching experience at METU and Radboud University.
First live sessions
These are the dates of each group's first live session with the teacher. You don't have to wait for them: as soon as you register, you get access to the learning materials and can start with the self-study.
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Soonest
2026-10-20
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2026-11-10
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2026-12-01
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2027-01-12
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2027-02-23
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2027-04-06
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2027-05-18
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2027-07-20
None of these dates work for you? Let us know and we'll think along with you.
Choose your format
The content, the teacher and the certificate are the same in all three formats. What differs is the focus and the planning, and that's reflected in the price.
With your team
Most affordable per person from four participants.
- From four participants
- Built around your own cases
- On location or remote
- Subsidy often possible
In a group
The usual way: you share the teacher with a few others and follow a fixed schedule.
- Fixed start date, fixed schedule
- Small group of fellow students
- Shared teacher
Individual
For anyone who prefers to work at their own pace.
- Start whenever you want
- Your own pace and planning
- Teacher just for you
- Personal guidance
Flexible payment
Payment options
Through your employer, with a voucher or in instalments: there's usually a way that works. Not sure which fits you? We're happy to think it through with you, free and without obligation.
Option 1
Through your employer
We can invoice your employer directly, with 30 days to pay. If it helps, we'll give you a training plan to discuss internally.
Option 2
With a government contribution
A UWV training voucher or a municipal voucher can cover (part of) the cost. We're on the approved lists, CRKBO-registered, and glad to help with the application.
Training with colleagues? Your employer may be able to use the SLIM subsidy; we're happy to do the application together.
Option 3
Paying yourself
Pay the full amount at once, or spread it: 3 or 5 instalments at no extra cost, or an interest-free loan through TechMeUp. You choose when you register.