AI Manager with AI Practical Project

Course overview

AI Managers oversee the use of Artificial Intelligence in companies - from selecting application cases to implementation and integration into everyday work. This training combines management knowledge with a comprehensive AI practical project: participants immediately apply each component to their own project from their professional environment. Foundations for Control Decisions - Working methods of generative language models and current AI services - Realistically assess strengths, limitations, and error patterns - Apply AI tools like ChatGPT, Claude, and Microsoft Copilot Finding and Evaluating Application Cases The practical project begins with selecting the right initiative. - Check processes and tasks in your area for AI suitability - Evaluate benefits, effort, and risks for each application case - Make project selection and formulate measurable goals Implementing Your Own AI Initiative - Design a solution approach: tool selection, process, participants - Testing on real work tasks with documented results - Evaluate setbacks and refine the approach - Demonstrate the economic viability and quality impact of the initiative Managing Introduction and Change From the project to everyday life - or it remains an experiment. - Engage participants: communication, training, support - Address reservations and exaggerated expectations - Transition to regular operations with responsibilities and routines Legal and Responsibility in the Project - Consider data protection, internal rules, and the EU AI Act in the initiative - Document decisions and results - Identify the limits of AI use in your application case Project Completion and Presentation - Structure results and present them to the group - Incorporate feedback and plan next stages of development Tools for Project Management - Create project plans, status reports, and decision templates with AI - Conduct effort tracking and benefit calculation in the initiative - Document learning points and secure them for future projects - Maintain a stakeholder map of the initiative and secure support - Prepare presentation materials for committees and management - Realistically manage the project timeline and track milestones - Identify project risks and agree on countermeasures Upon completion, participants will possess the management knowledge of AI management and a self-implemented, documented AI initiative as an immediately usable work result.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer