Digital Transformation & AI
Driving and Implementing Change Effectively
Digital transformation is no longer a one-off initiative but an ongoing responsibility. In particular, artificial intelligence is rapidly changing what organizations need to achieve—and how they can achieve it. Specialists and managers often find themselves caught between abstract strategy papers and day-to-day operations, without practical tools to effectively drive digital transformation and AI within their own area of responsibility. This is exactly where the “Digital Transformation & AI” program comes in: a compact, application-oriented program that combines knowledge, capability, and implementation-supported by clear methodologies, a personal action plan, and the opportunity to exchange with peers in similar roles.
Content of the program
- Digitale Transformation und Nachhaltigkeit: Grundlagen und Zusammenhänge
- Digitale Geschäftsmodelle
- Rahmenbedingungen rechtlicher Art
- Umweltmanagement und Kreislaufwirtschaft
- Reifegradmodelle
- Digitale Werkzeuge
- Daten und Kennzahlen
- Interdisziplinäres Denken und Handeln
- Fundamentals of digital transformation and AI
- Trends in digital transformation
- AI use cases
- Digital business models
- Platform economy logic
- Customer journey concepts
- Basics of change management
- Learning culture and future skills
- Data economy and data strategy
- Data strategy canvas
- Personal action plan
Overview
Die TUM Campus Heilbronn gGmbH
Certificate of participation
3,490 €
3,190 € Introductory offer
10% discount for TUM Alumni
German
The program is designed for professionals and managers who are responsible for digital initiatives – either functionally or organizationally – or who are actively involved in their implementation.
8 sessions (spread over several weeks)
Start in 2026:
- Week 1: Tue, Nov 24, 09:00–17:00 I Kick-off (Heilbronn)
- Week 2: Tue, Dec 1, 09:00–12:00 I Foundations (online)
- Week 3: Tue, Dec 8, 09:00–12:00 I Strategy, Business Models & Customer Experience (online)
Break due to holiday season, Continuation in 2027
- Week 4: Tue, Jan 19, 09:00–12:00 I People, Skills & Change (online)
- Week 5: Tue, Jan 26, 09:00–12:00 I Data (online)
- Week 6: Tue, Feb 2, 09:00–12:00 I AI (online)
- Week 7: Transfer week (self-study, individual sessions)
- Week 8: Tue, Feb 16, 09:00–17:00 I Final session (Heilbronn)
- Week 9: Tue, Mar 16, 09:00–10:00 I Reflection
TUM Campus Heilbronn (Bildungscampus 2, 74076 Heilbronn)
Why you should choose this programme?
Unlike many programs that primarily focus on knowledge transfer, this program emphasizes application, holistic understanding, and practical implementation within your own context.
- Structured, application-oriented learning: Instead of traditional lectures, the program combines problem-based work on participants’ own challenges with targeted preparation and reflection. By applying concrete methods and exchanging with peers – e.g., through learning partnerships – you ensure transfer into your daily work and develop viable solutions for your context.
- Holistic perspective: Digital transformation and AI are approached as an interplay of strategy, technology, and organization. In addition to business models and data/AI topics, the program covers customer experience, change management, learning culture, and future skills – and how to connect them.
- Transferability and tangible results: You engage with success and failure factors of transformation as well as organizational maturity levels to realistically assess your starting point. Based on this, you develop concrete solutions using proven methods (e.g., canvases, mapping and prioritization approaches)—from initial AI applications to a structured action plan.
You will leave the program not only with new insights, but with concrete outcomes and a clear plan for implementing digital transformation and AI in your area of responsibility.
Learning Outcomes
After completing the program, you will be able to analyze key challenges of digital transformation and artificial intelligence and transfer them to your own context:
1.) Understanding and assessing transformation: You are familiar with key concepts, trends, success factors, and common pitfalls of digital transformation and can assess organizations using maturity models.
2.) Analyzing business models and customer journeys: You understand digital business models and the logic of platform economies, are familiar with key customer journey concepts, and can structure them using appropriate methods.
3.) Understanding organization, skills, and change: You know the fundamental principles of change management, understand the importance of future skills and learning culture, and can identify skill gaps and relevant stakeholders.
4.) Identifying and structuring data potential: You understand the role of data economy and data strategy, know key requirements related to GDPR and cybersecurity, and can identify and structure data potential.
5.) Understanding and applying artificial intelligence: You are familiar with key concepts in AI and generative AI, understand success factors and application areas, and can identify and prioritize use cases.
6.) Deriving implementation steps: You transfer the acquired knowledge to your own use case and develop a structured action plan for your area of responsibility.
Modules
- Kick-off: Introduction to digital transformation, key trends, and definition of an individual use case
- Foundations: Key concepts, success factors, and common pitfalls of transformation
- Strategy, Business Models & Customer Experience: Digital business models, platform examples, and customer journey
- People, Skills & Change: Change management fundamentals, future skills, and learning culture ·
- Data: Data economy and data strategy, GDPR, and cybersecurity awareness
- Artificial Intelligence: Key concepts, success factors and pitfalls, GenAI tools, AI Act, and typical use cases
What to expect?
A compact, highly practice-oriented live program: Over several weeks, synchronous live sessions are combined with structured preparation and follow-up. The focus is on working on your own challenges, applying concrete methods, and ensuringstructured transfer into your own work context —rather than traditional lecture-based learning.
Through peer exchange and continuous work on an individual use case, the program creates a direct link between content and professional practice.
What is the benefit for organizations?
Throughout the program, you develop concrete results that can be directly applied in your work environment. These include data strategy outlines, prioritized AI use cases, stakeholder maps, and a personal action plan. These outputs can be directly integrated into ongoing transformation initiatives and support you in implementing digital transformation and AI in a structured and effective way—particularly in the context of mid-sized organizations.
Organizations benefit from professionals and managers who not only understand transformation but are able to actively drive it forward.
About the lecturer
Dozent Dr. Philipp V. Ramin is Founder and CEO of i40 – The Future Skills Company, one of Europe’s leading providers of AI transformation, future skills, and strategic capability development.
Under his leadership, i40 has supported more than 1.2 million learners across 14 industries and 20 languages worldwide and has received multiple awards for innovation in AI-enabled learning—including projects with Continental, BMW, and Schaeffler.
He advises and coaches board members and C-level executives of leading DAX and Fortune 500 companies on AI strategy, organizational transformation, and leadership in the age of artificial intelligence.
Dr. Ramin is Academic Director at the Frankfurt School of Finance & Management, a supervisory board member at BarthHaas Group and Samhammer AG, and an EU expert for the European Commission’s Digital Skills and Jobs Platform. He is also the editor of the book “Digital Competence and Future Skills” and host of the executive podcast “Digikompetenz.”
TUM Campus Heilbronn
At the Dieter Schwarz Foundation’s state-of-the-art educational campus, the TUM Campus Heilbronn combines cutting-edge research and excellent teaching with a clear focus on the interdisciplinary interface of management, computation, information, and technology. The aim is to responsibly shape the opportunities and challenges of the digital age.
Founded in 2018 with the support of the Dieter Schwarz Foundation, TUM Campus Heilbronn combines the strengths of the Technical University of Munich with the economically strong Heilbronn-Franken region, which is characterized by small and medium-sized enterprises, global market leaders, and the future European AI hub (IPAI). As a sustainable driver of innovation, TUM Campus Heilbronn promotes international talent and trains future innovators, specialists, and executives.
The interdisciplinary, English-language bachelor’s and master’s programs at the TUM School of Computation, Information, and Technology and the TUM School of Management combine academic excellence and technological expertise with entrepreneurial thinking and practice-oriented teaching. Leading professors conduct research and teach at our campus, which attracts a rapidly growing international student body. Through close cooperation with international universities and companies, we are creating an innovation ecosystem that accelerates progress, strengthens the region’s competitiveness, and empowers talent to actively shape the challenges of the digital age. Innovation meets small and medium-sized businesses.
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