AI Project Manager

Course overview

This intensive training covers the project management of AI initiatives from the perspective of an AI project manager: project assignment, pilot phase, AI-specific project risks, and acceptance. Your competencies Define AI initiatives as projects with goals, scope, and acceptance criteria Create project plans with pilot phases and expansion steps Assess data quality and outcome quality as project risks Coordinate teams from the specialist department, IT, and data experts as an AI project manager Translate expectations for ChatGPT, Claude, and similar services realistically into project goals Project Assignment for AI Initiatives Goal definition and project scope Measurable acceptance criteria for AI results Roles of AI project manager, specialist department, and IT Pilot Phase and Expansion Pilot as a testing step before expansion Evaluation of pilot results Transition to regular operation AI-Specific Project Risks Availability and quality of data Fluctuating outcome quality of models Dependence on external providers Application in Professional Life Create status reports on AI projects for clients Prepare decisions on the expansion or termination of a pilot Monitor risks in ongoing projects as an AI project manager Professional Fields AI project manager in innovation and IT departments Project offices with AI initiatives The ongoing responsibility for AI tools and usage rules is addressed by the offering "AI Manager", while the use of AI tools in any projects is covered by the offering "AI Tools for Project Managers".

Upcoming dates

• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Aachen · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-08-06T22:00:00.000Z · Zwickau · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Zwickau · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-08-06T22:00:00.000Z · Zweibrücken, Pfalz · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Zweibrücken, Pfalz · Combined Learning