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Data & AI

Understanding AI Agents: What They Are and Why They Matter

You have heard the term 'AI agents'. But what does it actually mean — and should it concern you, excite you, or both?

This 4-hour session answers those questions clearly and without hype. We start with the fundamental shift that agents represent: from AI that responds to questions to AI that pursues goals. Through live demonstrations, you will see this difference in action — and understand what it means for how work gets done.

The session is deliberately observational rather than deeply hands-on. You will watch, discuss, and reflect rather than build or configure. The goal is a clear mental model you can take back to your organisation: what agents can do, what they cannot yet do reliably, and where they are most likely to affect your role in the next two to three years.

We will also discuss governance: who is responsible when an AI agent makes a decision? How do you maintain oversight? These questions sit at the intersection of AI governance and everyday management and matter to everyone, regardless of technical background.

No prior knowledge of AI is required. Curiosity is the only prerequisite.

Content

    From chatbots to agents: the fundamental shift in AI capability
    How an AI agent works: observation, planning, action, and iteration
    Live demonstration: an agent completing a real multi-step professional task
    What this means for your role and your organisation
    Governance and oversight: who is responsible when AI acts autonomously?

Learning Outcomes

By the end of this training, the participant will be able to : 

  • Explain the difference between a chatbot and an autonomous AI agent in plain language 
  • Describe the key components of an AI agent (model, loop, tools, context) 
  • Identify two or three workplace scenarios where agentic AI could realistically be applied 
  • Outline the basic governance questions that arise when AI acts on behalf of a person or organisation 

Training Method

Trainer-led demonstrations combined with structured group discussion and reflection. Participants observe, question, and debate rather than build — making this session accessible to all levels without any technical prerequisite. 

Certification
Certificate of Participation
Prerequisites

None — no prior AI experience required. Completion of Claude Kickstart (CL-A) is helpful but not essential. 


Planning and location
Session 1
11/09/2026 - Friday
09:00 - 13:00
Session 1
04/12/2026 - Friday
09:00 - 13:00
https://www.dlh.lu/web/image/product.template/3007/image_1920?unique=326b7d9

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16.00 € 16.0 EUR 16.00 €

16.00 €

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Your trainer(s) for this course
Tomasz Kramer
See trainer's courses.