AI Project Management

Course overview

The AI Project Management training provides methodological, technical, and organizational skills for planning and controlling AI projects. The content is structured around use case definition, project structuring, and AI-specific implementation control. AI Project Fundamentals Classify types of AI projects and typical application areas Derive project goals from professional requirements Capture data, model, and process dependencies Assess feasibility and benefits of AI initiatives Planning and Resource Management Structure project phases for AI initiatives Define roles, responsibilities, and interfaces Plan time, budget, and resource needs Consider risks in data, model, and integration processes Implementation and Coordination Manage collaboration between departments and technical teams Coordinate requirements for data quality and system access Support model development, testing, and implementation Document and adjust deviations in project progress Evaluation and Governance Evaluate project results based on defined criteria Check quality, data protection, and compliance requirements Assess the effectiveness of AI solutions in operations Prepare lessons learned for further AI projects The training enables structured planning, control, and evaluation of AI projects in operational application contexts.

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2026-11-07T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2027-01-30T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2026-11-07T23:00:00.000Z · Bielefeld · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2027-01-30T23:00:00.000Z · Bielefeld · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2026-11-07T23:00:00.000Z · Bonn · Hybrid Learning