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Master Practical AI: Agents & LLMs in 2026
The Future of ML is Actionable + Practical
Recording Available Until April 13, 2026
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Enter the machine intelligence lab of the future
Imagine a high-tech lab in 2026: walls covered in neural networks, dynamic agents that autonomously perform tasks, models that not only respond but also act.
This live event takes you to that very future. Paul Dubs and Christoph Henkelmann will transport you to a future where machine learning no longer just analyzes data—but becomes a practical, actionable tool .
The era of mere LLM fascination is over. Now what matters is how you use models, agents, and new ML frameworks to deliver real added value .
Master Practical AI: Agents & LLMs in 2026
Imagine a high-tech lab in 2026: walls covered in neural networks, dynamic agents that autonomously perform tasks, models that not only respond but also act.
This live event takes you to that very future. Paul Dubs and Christoph Henkelmann will transport you to a future where machine learning no longer just analyzes data—but becomes a practical, actionable tool .
The era of mere LLM fascination is over. Now what matters is how you use models, agents, and new ML frameworks to deliver real added value .
Practical sessions for your AI strategy
In this exclusive fullstack event, you’ll gain practical knowledge from MLCon London 2026, the event for Generative AI & Machine Learning Engineering.
Focusing on the technologies that will truly matter in 2026—beyond the hype. Learn step-by-step how to build agents, optimally utilize LLMs, and implement concrete AI solutions for real-world tasks.
Your expert sessions
1:00 PM - 2:00 PM | Time isn't all you need | With Christoph Henkelmann
This session will broaden your perspective far beyond traditional LLMs. You will learn:
- why not every problem should be solved with LLMs — not even with multimodal ones
- Which models and developments will make the difference in 2025/2026?
- which technological advances in the ML ecosystem are often overlooked
- how to choose the right model for the right task
- what future is possible after LLMs or even after Deep Learning
An inspiring look at ML beyond the “LLM-Only” mindset.
2:00 PM - 3:00 PM | AI Agents Unplugged | With Paul Dubs
This session is a hands-on guide to real AI agents without framework magic .
You will learn step by step:
- to build an agent using only Python + LLM API
- to develop stable prompting structures
- How to properly implement Memory & Context Management
- Integrating Tools & Function Calling cleanly
- To reliably catch errors, loops & hallucinations
- efficiently build reasoning loops
All content includes real code examples — directly applicable to your own projects.
Join us and learn...
how Agents and LLMs will really be used in 2026 — beyond empty buzzwords
Which ML models & frameworks will be crucial after the LLM euphoria?
how to implement a fully functional AI agent from scratch
which misconceptions, risks and limitations you absolutely need to know
how to build ML systems that are reliable, reproducible, and practical
Expert Knowledge for
Machine learning specialists who want to understand new model architectures and modern AI ecosystems
AI experts who want to use agents productively and develop robust AI workflows
LLM students who finally want to know what works in practice beyond the hype.
Tech professionals who want to recognize when AI makes sense — and when it doesn’t.
Get to know our experts
Christoph Henkelmann
DIVISIO
Expert in Deep Learning, Transformer Models, enterprise AI applications, and strategic AI consulting.
Paul Dubs
Expert in Machine Learning, Natural Language Processing, and the development of large-scale AI Agents.
Xpress AI
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