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Teach SAP related skills and get certified

SAP Learning Hub, student edition, provides a structured learning environment for both lecturers and students, combining self-paced learning resources, access to SAP cloud practice systems, and certification opportunities. A curated portfolio of academic lessons further supports curriculum design and teaching by aligning SAP Learning Hub content with academic learning objectives.

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Preparing Students for the Agentic AI Era with SAP

AI agents are reshaping how businesses operate, making it crucial to prepare students for this change. That’s why SAP has developed a new range of academic offerings and resources to assist lecturers in incorporating agentic AI concepts and technologies into their hands-on teaching.

🆕 Check out the latest resources on integrating AI into academic teaching


Teaching & learning resources for academia

Welcome

Browse a selection of available teaching offerings. Gain an overview of key resources and recent innovations that support
a wide range of academic disciplines, learning objectives, and instructional approaches - from explorative self-directed
learning to guided or self-directed academic hands-on activities and immersive classroom experiences.

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Business Process Management

Explore teaching resources to understand, analyze, and improve end-to-end business processes. Topics span enterprise resource planning, enterprise operations, accounting, sales, procurement, supply chain management, production and manufacturing, human capital management, and process optimization. Resources support both conceptual learning and hands-on exploration of organizational processes in business and information systems education.

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Common fields of study: Business Administration, Information Systems, Operations & Supply Chain Management, Accounting, Human Resource Management, Industrial Engineering, Process Management, Enterprise Architecture

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Application Development and Coding

Explore teaching resources for developing, extending, and integrating enterprise software applications. Topics span pro-code software development, application architecture, workflow automation, low-code/no-code approaches, artificial intelligence, and emerging computing paradigms. Resources support both conceptual learning and hands-on exploration of modern application development in information systems, software engineering, and digital innovation education.

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Common fields of study: Information Systems, Business Informatics, Computer Science, Software Engineering, Digital Business, Digital Innovation, Artificial Intelligence, Information Technology, Enterprise Systems, Technology Management
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Data Science and Analytics

Explore teaching resources for collecting, managing, analyzing, and interpreting data in enterprise contexts. Topics span data management, data modeling, business intelligence and visualization, analytical methods, planning, and data-driven decision-making. Resources support both conceptual learning and hands-on exploration of analytical methods and technologies in business, information systems, data science, and analytics education.


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Common fields of study: Data Science, Business Analytics, Information Systems, Business Administration, Computer Science, Statistics, Operations & Supply Chain Management, Industrial Engineering

 

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Computing Education

Explore teaching resources for introducing foundational computing concepts and computational thinking. Topics span visual programming, algorithms, problem-solving, introductory software development, artificial intelligence literacy, and creative computing projects. Resources support both conceptual learning and hands-on exploration of computing in computer science, information systems, and digital education programs.

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Common fields of study: Computer Science, Computing Education, Information Technology, STEM Education, Educational Technology, Digital Literacy, Media Informatics, Information Systems, Teacher Education, Artificial Intelligence

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