$1,000 Fullstack Live Event Free With a Membership!

Optimizing AI Models, MLOps, and GenAI Security for Scalable and Secure AI Systems

Learn Strategies for Single GPU LLMs, Continuous Training Pipelines, and AI Ethics

Live 25. & 26. June 2025 | 16:15 - 18:15 CET

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Secure, efficient & future-proof GenAI projects

Join us for an in-depth event where you’ll explore the best practices for optimizing LLMs, implementing MLOps pipelines, and securing GenAI applications. Dive into hands-on techniques for addressing AI security risks, fine-tuning LLMs for multitasking, and ensuring AI ethics and privacy with confidential computing.

Program

16:15 - 17:00 | Experience with an end-to-end MLOps pipeline: Practical insights and 3D architectural perspectives | Eric Joachim Liese & René Brunner

In this session our experts will share hands-on insights into building and running a complete MLOps pipeline—from data preparation to model training, deployment, and monitoring.

Learn how integrating a 3D architecture can boost efficiency and scalability, and discover key challenges, smart solutions, and best practices for bringing ML pipelines into production successfully.

17:30 - 18:15 | GenAI Security: Navigating the Unseen Iceberg | Maish Saidel-Keesing

GenAI often looks impressive – but hidden risks such as bias, data breaches and ethical pitfalls lurk beneath the surface. This session will show you what to look out for to recognize and avoid such problems early on.

Get a clear view of the hidden challenges of generative AI – and learn how to develop safe, responsible and future-proof GenAI solutions.

Ready to look beneath the surface?

25. June 2025

26. June 2025

09:00 - 09:45 | Optimizing LLMs on Single GPUs: Best Practices and Multitasking Strategies | Vanessa Lopes

Learn how to run large language models optimally, even on single GPUs. This session will show you proven strategies for increasing efficiency, using specialized agents and fine-tuning for a variety of tasks.

We will also look at factors such as data quality, model architecture and external dependencies – crucial for strong LLM results despite limited resources.

10:15 - 11:00 | Enhancing Scalability in Continuous Training Pipelines for Machine Learning Models | Arya Soni

Learn how you can use scalable continuous training pipelines to ensure the quality of your ML models, even with large amounts of data and complex models.

We will show you how frameworks such as Apache Spark and Kafka process data efficiently, how automatic resource scaling reduces costs and how versioning ensures control. You will also learn how monitoring and Infrastructure as Code (IaC) make your pipelines reliable and maintainable.

Ideal for anyone who wants to bring AI projects into production sustainably and efficiently.

15:00 - 15:45 | Confidential AI: The Secret Keeper of Machine Learning | Yatindra Shashi

Learn how Confidential Computing technologies such as Intel TDX and SGX protect sensitive data and AI models from unauthorized access – especially in regulated industries such as healthcare and finance.

This session shows how Trusted Execution Environments (TEEs) help to ensure data protection and compliance (EU AI Act, GDPR), paving the way for trustworthy, privacy-oriented AI applications.

Join us and learn...

how to run LLMs efficiently on single GPUs and optimize them for multitasking.

how to build and automate continuous training pipelines in a scalable way.

how to develop GenAI applications securely and responsibly to avoid risks such as bias, privacy violations and ethical conflicts.

how confidential computing technologies such as Intel SGX and TDX effectively protect sensitive data and AI models in regulated industries.

Expert Knowledge for

Machine Learning Engineers, Data Scientists, MLOps Specialists & Software Architects who want to implement GenAI applications not only efficiently but also responsibly.

anyone who works at the intersection of AI development, infrastructure, security and ethics and wants to efficiently train LLMs, build continuous training pipelines or secure data protection with confidential computing.

anyone who deals with cloud-native technologies, scalability and compliance (e.g. EU AI Act, GDPR).

Get to know our experts

Eric Joachim Liese

Expert in MLOps, AI strategies, data lakes and the automation of AI and data processes in the cloud.

René Brunner

Expert in Python programming, data science and big data analytics.

Maish Saidel-Keesing

Expert for AWS Cloud, container technologies, DevOps, automation and open source.

Vanessa Lopes

Expert in generative AI, machine learning and scalable production systems in the financial and supervisory sector

Arya Soni

Tech Entrepreneur & Cloud Enthusiast

Yatindra Shashi

Expert in artificial intelligence, confidential computing, cloud-native technologies, networks and IT security

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