AI Technologies & Agentic AI: Overview & Trends

Programme details

AI Technologies & Agentic AI: Overview & Trends

Short Description

An advanced seminar for participants with basic knowledge of generative AI. It provides a compact overview of key AI technologies—from LLMs and chatbots to text, data, and image AI, all the way to AI agents. The focus is on classifying different stages of AI agents and their potential for corporate use.

Learning Objectives / Benefits

Understand and classify key AI technologies
Recognize differences in function, strengths, and limitations
Comprehend the concept and stages of AI agents
Evaluate current trends for your own company

Content / Modules

Recap: Functionality & limitations of generative AI
LLMs & chatbots: architecture, areas of application
AI technologies for text creation, data analysis, image generation
AI agents: principles, examples, stages of development
Discussion of current developments & corporate relevance

Target Audience

Advanced, cross-functional, executives with basic knowledge of generative AI

Format & Duration

½ day, in-person or online

Practical Component & Methodology

Theoretical impulses, interactive discussions, practical case studies, and live demonstrations of current tools

Prerequisites

Basic understanding of the functionality, capabilities, and limitations of generative AI systems

Discover our Comprehensive Training Portfolio

Our AI Training Programme

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In-depth insight into the functionality and capabilities of Generative AI – including text, image, and audio generators, quality criteria, and application limitations.

AI Technologies & Agentic AI: Overview & Trends

A compact introduction to the world of Artificial Intelligence: from its basic functionality and an overview of relevant AI technologies to an explanation of the forward-looking concept of Agentic AI.

AI in the Enterprise: Starting Points & Quick Wins

A practical guide to identifying and implementing AI quick-win projects - from tool scouting to the first pilot.

AI Vision & Strategy

From technology to implementation: After an introduction to how AI works, relevant technologies, and the concept of Agentic AI, participants will learn to systematically identify AI potential within their company, analyze processes, and develop a practical implementation roadmap—together with stakeholders and employees.

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From technology to a target vision: An introduction to how AI works, an overview of relevant technologies, and the concept of Agentic AI. Building on this, we will develop a structured process to create a company-specific AI vision and define a holistic AI strategy with clear fields of action and

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A comprehensive training for developing impactful prompts to effectively control AI tools like ChatGPT, Gemini, Copilot, or Midjourney.

Content Generation & Data Management

A practical training session on creating creative text content, processing and enriching tables and data, and optimizing workflows—including targeted automation in Office applications.

Visual & Audio GenAI

Creative use of AI for image, video, and audio content—with a focus on legally compliant and impactful results.

Code Assist & Data Tasks

Efficient use of AI to support programming, debugging, and data analysis.

Foundations for Responsible AI Use

An introduction to the responsible use of AI: risks, liability, bias, documentation, and Human-in-the-Loop—including the fundamentals of AI quality management. The legal aspects of using AI in business will be taught by our partners from the law firm Artana.

EU AI Act in Practice

Practical implementation of the EU AI Act: system classification, obligations, technical/organizational measures, and a roadmap for corporate compliance. The legal requirements and implementation guidelines are provided by our partners from the law firm Artana.

Strategic Marketing Meets AI

How AI enhances strategic decisions: Data, models, and human expertise are combined to create well-founded, future-proof marketing strategies—with clear options and target paths.

Operational Marketing Meets AI

Effectively using AI along the entire customer journey: recognizing behavioral patterns, prioritizing relevant touchpoints, and creating personalized experiences from the first interaction to the loyalty phase.

Sales Meets AI

Targeted use of generative AI in sales: lead research, proposal and pitch creation, meeting notes, and follow-up automation—with a focus on efficiency and customer relevance.

Business Development Meets AI

Strategic use of generative AI in business development: market and competitor analysis, partner scouting, business case development, and pitch material creation.

HR, Learning & Development Meets AI

Practical AI applications for HR and Learning: job advertisements, interview guides, learning modules, and guidelines for responsible use.

Law & Compliance Meets AI

Legal and compliance fundamentals for AI in departments: copyright, data protection, AI-specific risks, as well as practical templates and checklists. The legal aspects are taught by our partners from the law firm Artana.