AI Bootcamp for Developers
17 August, 2026 – Amsterdam, The Netherlands
Build production-ready AI applications and autonomous agents — in five intensive days in Amsterdam.
This hands-on bootcamp takes you from LLM fundamentals to fully functioning agentic systems. Starting with Building LLM Applications, you’ll learn how to design, evaluate and deploy solutions powered by large language models. You’ll then advance to Agentic AI for Developers, where you’ll architect autonomous agents that can reason, plan and execute complex multi-step tasks.
Designed for developers who want to go beyond the hype and ship real AI — this is where theory meets production.
Looking to upskill your team(s) or organization?
Juanette will gladly help you further with custom training solutions.
Juanette Evans
Data and AI Training Advisor
Duration
5 days
Time
09:00 – 17:00 (GMT +2:00)
Language
English
Lunch
Included
Certification
No
Level
Advanced
Two Training. One Powerful Bootcamp.
The AI Bootcamp for Developers is delivered as a 5-day, in-person intensive at the Xebia office in Amsterdam. Full-day sessions, live coding exercises and direct collaboration with trainers and peers give you the depth and focus needed to build real AI systems – fast.
What will you learn?
After the training, you will be able to:
Build and deploy LLM-powered applications: design end-to-end pipelines with retrieval, evaluation and production-readiness in mind
Evaluate and iterate on AI solutions: apply structured techniques to measure, debug and improve model behaviour in real-world contexts
Engineer agentic AI systems: create autonomous agents that plan, reason and execute multi-step tasks using modern frameworks
Program
The bootcamp combines two complementary modules delivered in person by experienced trainers over five intensive days in Amsterdam.
- Understand how large language models work and how to prompt them effectively
- Build retrieval-augmented generation (RAG) pipelines
- Connect LLMs to external tools and APIs
- Evaluate, test and deploy LLM-based solutions responsibly
This training is for you if:
You want to understand how Generative AI and Agentic AI create real business value without becoming a developer.
You are responsible for driving innovation, digital transformation, or AI initiatives within your team or organization.
This training is not for you if:
You have no programming experience (→ check out AI Bootcamp for Business)
You’re looking for a conceptual or non-technical introduction to AI
Requirements
Basic Python programming experience is required, you should be comfortable reading and writing scripts. No prior experience with LLMs, AI frameworks or machine learning is needed. A laptop with a working development environment will be needed for the hands-on sessions (setup instructions shared in advance).
Why should I follow this training?
Go from LLM user to LLM builder
Learn how to construct robust, production-grade applications on top of large language models — not just use them.
Master the agentic paradigm
Autonomous agents are reshaping what’s possible in software. Gain the hands-on skills to design systems that plan, reason and act — not just respond.
Work at the frontier, with the tools that matter
Every session is grounded in real frameworks and real use cases. You’ll leave with code, patterns and confidence you can apply on Monday morning.
What else
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.
See you soon!
Course information
All literature and course materials are included in the price.
Meet the trainers
Giorgia Corrado
After studying AI and Neuroscience, I worked as an engineer in industry before realizing my real passion was sharing AI with others. Today I focus on education, helping people understand and apply Machine Learning and AI in meaningful, practical ways.
Mahdi Massahi
Mahdi Massahi is a Machine Learning Engineer with over nine years of experience specialising in architecting and scaling production-grade LLM-based applications.
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