Agentic AI for Data Professionals

In the one-day Agentic AI for Data Professionals training, you learn how the next generation of AI systems works: systems that not only advise, but can also take actions on their own. Where Generative AI mainly helps generate text, code or analyses, Agentic AI focuses on automating entire tasks and processes.

1 day
Certificate on completion
artificial-intelligence data-science

In the one-day Agentic AI for Data Professionals training, you learn how the next generation of AI systems works: systems that not only advise, but can also take actions on their own. Where Generative AI mainly helps generate text, code or analyses, Agentic AI focuses on automating entire tasks and processes.

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

This training gives you 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 get a solid introduction to the principles of Agentic AI, combined with real-world examples and demonstrations. During the training we show how AI agents function within existing data architectures and how organisations can use this technology without losing control and governance.
Through concrete examples and live demos, you discover how AI agents support decisions, take actions and collaborate with humans.

What will you learn?

After this training, you can:

  • Explain the difference between Generative AI and Agentic AI;

  • Recognise the key architecture components of AI agents;

  • Apply the Sense, Plan, Act, Reflect model to AI systems;

  • Assess the maturity of Agentic AI use cases;

  • Identify risks around governance, autonomy and control;

  • Position Agentic AI within a modern data and AI architecture.

Training setup

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

Why take part?

AI is rapidly evolving from tools that generate answers to systems that take actions on their own.

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

With this training, you get a clear picture of what Agentic AI really means for organisations and how to deploy this technology responsibly.

Want to understand how AI evolves from assistant to autonomous actor?
Sign up and discover how Agentic AI is changing the data landscape.

Morning: foundations of Agentic AI

  • Introduction: from Generative AI to Agentic AI

  • The execution, learning and coordination gaps

  • The Sense, Plan, Act, Reflect model

  • The five levels of Agentic AI

  • Live demo of working AI agents

Afternoon: architecture and governance

  • Memory, planning and multi-agent collaboration

  • Integrating AI agents within data architectures

  • Governance, control and human-in-the-loop

  • Risks and preconditions for implementation

After completing this training, you receive a professional development certificate. This certificate shows that you not only took part actively, but also invested in deepening your professional skills at the intersection of data, AI and governance. A valuable recognition of your growth as a data professional in a fast-changing field.

Audience

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

  • Data managers and data governance professionals

  • Data engineers and data architects

  • Data scientists and AI engineers

  • Enterprise architects and technology strategists

  • Anyone involved in data platforms, AI implementations or data strategy

Recommended prior knowledge:

  • Basic knowledge of data architecture or data platforms

  • Some experience with Generative AI or AI applications is recommended

artificial-intelligence data-science
Agentic AI for Data Professionals
Available