AI Expert Bootcamp
This programme stacks two bootcamps, Applied AI and AI Engineering, into one journey — build across the full AI stack, from low-code tools to code.
- Duration
- 27 weeks (216 hours)
- Time per week
- 8 hours
- Courses
- 10 courses
Who this is for
This fits you if
- Professionals who want to build AI solutions across the full technology stack, from low-code platforms to programming.
Another option may suit you better if
- You are new to AI. This stacks two bootcamps. Start with AI Essentials Bootcamp first.
- You only need the low-code side. Take a look at Applied AI Bootcamp instead.
- You only need the engineering side. Take a look at AI Engineering Bootcamp instead.
Not sure? Plan a free study advice call
Prerequisites
- Technical affinity is beneficial.
What you'll learn
- Build autonomous AI agents with n8n and Claude.
- Develop applications through vibe coding (Lovable) and retrieval-augmented generation (RAG).
- Create GenAI applications with LangChain and build AI models on Azure.
- Program with AI using Claude Code in real repositories.
- Apply responsible AI principles, including ethics, governance, and EU AI Act compliance.
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
Vibe Coding with Lovable Course
3 weeksThe way we build software has fundamentally changed. In this hands-on course you'll learn to describe what you want to build and let AI do the heavy lifting — no coding background required.
Taught by Marta Strykowska
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3
Building AI Agents Course
3 weeksBuild your own AI agents, no coding needed. Learn to design agents that perceive, reason, act, and remember, then build and automate them with no-code tools like n8n and Claude.
Taught by Marek Durcek
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4
Retrieval-Augmented Generation (RAG) Course
3 weeksLearn RAG, a cutting-edge technique that enhances LLMs with external knowledge. Combine vector databases with LLMs to build accurate, grounded AI applications.
Taught by Akos Steger
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Final Assignment: Applied AI
3 weeksThe closing module of the Applied AI Bootcamp — apply everything you've learned to a real, practical AI project.
Taught by Sabine Joseph
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5
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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6
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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7
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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8
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
Marta Strykowska
Vibe Coding and AI Native Apps
Marta has over a decade building digital products and now focuses on AI-native app development. She teaches Vibe Coding.
Courses in this bootcamp
Marek Durcek
AI Agents for Marketing and Sales
Marek is an AI and automation consultant who designs practical automations around existing workflows, and teaches Building AI Agents.
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
Sabine Joseph
Machine Learning and Data Science
Sabine holds a PhD in cognitive neuroscience from UCL and has worked at Microsoft, Accenture, and Reed building machine learning and recommender systems.
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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2026-12-01
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2027-02-23
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.