Sustainability in the digital age: AI and Sustainability - Balancing Innovation and Responsibility

Kurs

Sustainability in the digital age: AI and Sustainability - Balancing Innovation and Responsibility

Welcome to the "Sustainability in the Digital Age" series

This course explores the critical  intersection of AI and sustainability, highlighting how technological advancement can align with environmental responsibility. It offers insights into the dual nature of AI, noting its potential for increasing efficiency and driving sustainable innovation, while also acknowledging the significant energy consumption involved in training and applying AI models. In this course, we are not only examining the paradox of AI and sustainability but also provides actionable recommendations for incorporating sustainability into AI application development. By examining AI's transformative role and its environmental impact, the course offers a comprehensive understanding of how AI can be harnessed to support global sustainability goals effectively.


This course is part of the Sustainability in the Digital Age series, a collaborative project between colleagues from Stanford University, SAP and the Hasso Plattner Institute.

Angeboten von Gunther Rothermel, Christian Boos, Surajit Mitra, Dr. Kerstin Verzano, Vikram Nagendra, Johanna Latt, Klaus Schimmer | Zuletzt aktualisiert am 15. Juli 2026 | 2167 Einschreibungen

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  • Zertifikat
Kursinformation

This comprehensive course delves into the vital intersection of artificial intelligence and sustainability. It explores how cutting-edge technology can advance alongside environmental responsibility. Throughout the course, learners will gain insights into the dual nature of AI. While AI holds the promise of enhancing efficiency and fostering sustainable innovation, it also presents challenges due to the significant energy consumption associated with training and deploying AI models. The curriculum not only examines this paradox but also equips participants with actionable strategies to integrate sustainability into AI application development, ultimately aiming to support global sustainability goals.

The course begins with an Introduction to AI and Sustainability, which establishes foundational knowledge. Participants explore the fundamentals of artificial intelligence, including its definition, capabilities, and importance in the context of sustainability. This is followed by an exploration of Different Aspects of AI and Sustainability. Participants delve into the varied dimensions of AI's relationship with sustainability. This includes examining the return on investment (ROI) in AI, considering both its environmental and economic impacts.

The course then fmoves on to the topic of Developing AI in a Responsible and Sustainable Way. Participants explore energy-efficient machine learning techniques and best practices for developing AI solutions responsibly, particularly in the realm of Generative AI (GenAI). Participants to gain a deeper understanding of the innovative approaches adopted by companies like SAP to make data centers greener, emphasizing the importance of responsible AI practices that consider ethical and legal aspects.

Finally, the focus shifts to Application of AI to Sustainability. Here, participants explore real-world applications, such as AI-powered SAP sustainability solutions, and AI solutions for energy and utilities sectors. They examine the role of AI in predictive maintenance and its transformative impact on sustainability.

Scope:

The Sustainability in the digital age: Balancing Innovation and Environmental Responsibility course runs for two weeks with a total workload of approximately 5-6 hours. It includes around 11 videos. The final exam takes place in the second week.

All learning materials (videos and texts) are available from the start of the course. The final exam is activated at the end of the first week and remains open until the course ends, giving participants two weeks to complete the content and one week for the exam.

Prerequisites:

Even though this course is intended for any individual interested in AI and Sustainability, foundational knowledge on AI would be helpful.

Lernziele
  • A comprehensive understanding of the intersection between AI and sustainability
  • The ability to critically evaluate the environmental and economic impacts of AI, and acquire skills in implementing energy-efficient and responsible AI practices
  • Insights into innovative strategies employed by industry leaders like SAP for sustainable AI deployment
  • Competency in applying AI to real-world sustainability challenges, particularly in energy and utilities, thereby supporting global sustainability goals through transformative AI solutions
Anforderungen für Nachweise
  • Teilnahmebescheinigung: Du erhältst automatisch eine kostenlose Teilnahmebescheinigung, sobald du mindestens 50% der Kursinhalte durchgearbeitet hast.
  • Zertifikat: Du erhältst ein Zertifikat, wenn du in der Summe aller benoteten Aufgaben mindestens 50% der Höchstpunktzahl erreicht hast.

Mehr Informationen findest du auf der Seite für Nachweise und Richtlinien.

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