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Learning Path · Step 05 · UX AI Enthusiast

UX Agentic AI | Basics

2025 has already been proclaimed as the year of "AI agents" as the next evolutionary stage of GenAI. Agents possess a memory, can perform tasks autonomously, formulate plans, use tools, and collaborate with one another. This training demonstrates the opportunities and risks of using AI agents to increase efficiency and automate complex problem-solving, and prepares participants for the skillset required to successfully "keep AI agents in check."

Who is this training for?

Interested parties who wish to acquire further competencies in this topic.

Why this training

AI models, especially the language models underlying the agents, are not deterministic. Consequently, the results of AI agents' work vary greatly and can only be secured if one understands how they function. Otherwise, there is a risk of efficiency loss instead of gain, and token costs will skyrocket.

Contents

  • Introduction to Large and Small Language Models
  • Introduction to a simple agentic architecture
  • Introduction to the requirements for prompt engineering
  • Introduction to the Model Context Protocol (MCP)
  • Practical examples of AI agents (e.g., reviewing UX writing texts or similar)

Methodology

  • Online presentation with examples
  • Q&A between individual chapters

At a glance

Format
Live-Online-Talk
Duration
4 h (1x4h)
Group
6–12 pers.
Level
Awareness
Audience
UX AI Enthusiast
Price
On request

No obligation - we reply within 24 hours.

Ready for your next step?

Bring this format straight into your team - tailored to your tools, your roles and your context.

Everything starts with a good conversation.

So let's explore the possibilities for your digital product development together. We look forward to your inquiry.

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