Module: Digital Services
This certificate module combines three complementary short courses in a structured learning path.
Participants build a broad understanding of digital services, covering service innovation and business models, service design thinking, and applied AI in service systems. The module further explores how human-centered design, data-driven methods, and platform-based business models interact with AI-enabled analytics to create innovative, scalable, and value-generating digital services and ecosystems.
General Information
| Date | Oct 26 - Nov 6, 2026 |
| Duration | 10 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | 8 |
| Cost | 4,980€ |
Further questions?
Martina Waldner
Senior Program Consultant
info∂hectorschool.kit.edu
+49 721 608 47880
Program Structure
This certificate module combines three complementary short courses in a structured learning path.
Participants build a broad understanding of digital services, covering service innovation and business models, service design thinking, and applied AI in service engineering. The module further explores how human-centered design, data-driven methods, and platform-oriented business models interact with AI-enabled analytics to create innovative, scalable, and value-generating digital services and ecosystems.
Service Innovation & Business Models
Introduction to service innovation and business models, covering core concepts of service systems, digital business models, innovation processes, and approaches for designing, validating, and scaling data-driven and customer-centric digital services.
| Date | Oct 26 - 29, 2026 |
| Duration | 4 days |
Service Design Thinking
Introduction to service design thinking, covering core concepts of human-centered innovation, iterative problem-solving, and approaches for need-finding, ideation, prototyping, and testing to develop viable digital services.
| Date | Oct 30 - Nov 3, 2026 |
| Duration | 3 days |
Applied AI in Service Systems
Introduction to applied AI in service engineering, covering core concepts of supervised machine learning, AI-enabled analytics across the service lifecycle, and approaches for deploying, monitoring, and improving data-driven services, including handling concept drift, transfer learning, and human–AI collaboration.
| Date | Nov 4 - 6, 2026 |
| Duration | 3 days |
Who should attend
This module is designed for professionals seeking a structured introduction to digital services, with a focus on service innovation, human-centered design, and AI-enabled analytics.
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IT and digitalization professionals interested in designing, implementing, and operating digital service systems and platforms.
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Product managers, service designers, and UX professionals developing customer-centric services using Design Thinking, prototyping, and iterative testing.
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Data scientists, ML engineers, and analytics specialists applying supervised learning and AI across the digital service lifecycle.
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Innovation managers and business strategists building data-driven service business models, platforms, and ecosystems.
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Project managers and decision-makers overseeing digital transformation, AI adoption, and service-focused initiatives.
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Consultants, researchers, and academics aiming to deepen their expertise in service innovation, human-centered design, and applied AI in service systems.
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Professionals who want a coherent learning path from foundational concepts to practical applications in digital service engineering.
Ready to join the full module?
Book the complete module to benefit from a coherent learning journey across all five certificate courses.