Agentic AI for Data Professionals

In the one-day training Agentic AI for Data Professionals, you will learn how the next generation of AI systems works: systems that do not only advise, but can also independently execute actions. While Generative AI primarily assists in generating text, code, or analyses, Agentic AI focuses on automating entire tasks and processes.

You will learn how AI agents interpret goals, perform actions in other systems, and collaborate with humans and other agents. We will pay particular attention to architecture, governance, and the role of data professionals in these new AI architectures.

This training provides you with a clear and practical overview of the possibilities and limitations of Agentic AI within modern data ecosystems.

Includes the textbook Agentic Artificial Intelligence (Bornet et al., 2025)

What can you expect?

You will receive a solid introduction to the principles of Agentic AI, combined with practical examples and demonstrations. During the training, we will show you how AI agents function within existing data architectures and how organisations can deploy this technology without losing control and governance.
Using concrete examples and live demos, you will discover how AI agents support decisions, perform actions and collaborate with people.

What will you learn?

After completing this training, you will be able to:

• Explaining the difference between Generative AI and Agentic AI;
• Recognising the main architectural components of AI agents;
• Applying the Sense–Plan–Act–Reflect model to AI systems;
• Assessing the maturity of Agentic AI use cases;
• Identify risks related to governance, autonomy, and control;
• Positioning agentic AI within a modern data and AI architecture.

Who is this training intended for?

This training is intended for data professionals who want to understand how AI is evolving from generative applications to autonomous systems:

• Data managers and data governance professionals;
• Data engineers and data architects;
• Datawetenschappers en AI-ingenieurs;
• Enterprise architects and technology strategists;
• Anyone involved in data platforms, AI implementations, or data strategy.

Training structure

The training is compact, practical, and interactive. We combine theory with demonstrations and discussions about realistic use cases. During the day, we work with examples from different sectors to illustrate the impact of Agentic AI on data architectures and organizations.

Required prior knowledge

Basic knowledge of data architecture or data platforms;
Some experience with Generative AI or AI applications is recommended.

Why participate?

AI is rapidly evolving from tools that generate answers to systems that perform tasks independently.

This calls for new architectures, new governance models, and new skills for data professionals.

Met deze training krijg je een helder beeld van wat Agentic AI werkelijk betekent voor organisaties en hoe je deze technologie verantwoord kunt inzetten.

Would you like to understand how AI is evolving from assistant to autonomous actor?
Sign up and discover how Agentic AI is changing the data landscape.

Morning: Fundamentals of Agentic AI

• Introduction: from Generative AI to Agentic AI
• De hiaten op het gebied van uitvoering, leren en coördinatie
• The Sense–Plan–Act–Reflect model
• The five levels of Agentic AI
• Live demo of working AI agents

Afternoon: Architecture & Governance

• Memory, planning, and multi-agent collaboration
• Integration of AI agents within data architectures
• Governance, control, and human-in-the-loop
• Risks and preconditions for implementation

The training is provided by Erik Fransen, Data & AI consultant and trainer with years of experience in data architecture, AI strategy, and data management.

After completing this training, you will receive a professional development certificate. This certificate demonstrates that you have not only actively participated, but also invested in deepening your professional skills at the intersection of data, AI, and governance. It is a valuable recognition of your growth as a data professional in a rapidly changing field.