AI and Data Transformation Management

Course overview

In the daily work of professionals in AI and Data Transformation Management, data competence, AI fundamentals, change management, and business analysis combine to form an integrated competence profile. The course demonstrates how these fields build on each other and can be managed together. The focus is on roles, methods, and practical tools. !Course Content !1. AI Fundamentals in the Context of Transformation *Generative AI, LLMs, and Use Cases *Legal and Ethical Frameworks *Prompting and R-K-I Testing !2. Data Competence as a Foundation *Data Quality, Integration, and Preparation *Excel and Copilot for Analysis *Data Literacy and Storytelling !3. Business Analysis and Process Work *Process Modeling with BPMN and Swimlanes *Requirement Engineering and Gap Analysis *Business Impact Assessment !4. Change and Culture *Change Frameworks: Lewin, Kotter, ADKAR *Stakeholder Engagement and Resistance Management *Cultural Change as a Continuous Process !5. Visualization and Control *Power BI for Dashboards and Reports *KPI Sets for Readiness, Adoption, and Impact *Benefits Realization Throughout the Project Lifecycle !6. Transfer to Personal Practice *Integration of Methods into Roles and Routines *Personal Roadmap for Competence Development *Reflection and Continuous Improvement !Professional Relevance *Integrated Competence Profile for AI and Data Transformation Management *Bridge Between Technical, Organizational, and Human Levels *Stable Foundation for Demanding Roles in Transformation Projects

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-11-26T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-08-02T22:00:00.000Z · 2027-03-23T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-08-02T22:00:00.000Z · 2027-03-23T23:00:00.000Z · Berlin · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-11-26T23:00:00.000Z · Berlin · Combined Learning
• 2026-08-02T22:00:00.000Z · 2027-03-23T23:00:00.000Z · Hamburg · Combined Learning