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  • green computing6
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• • Licence
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• • Target audience
  • AI practitioners, developers, data scientists, engineers, decision-makers1
  • Anyone involved in the process of building, deploying, or managing software, anyone who wants to make their software applications more sustainable and build a career in green software1
  • Anyone involved in using or delivering HPC resources — users, software developers for HPC, HPC service operators, and those involved in procuring HPC systems. No prior knowledge of environmental sustainability assumed.1
  • Anyone involved in using or delivering HPC resources — users, software developers, HPC service operators, and those involved in procuring HPC systems. No knowledge of environmental sustainability principles assumed.1
  • Anyone wanting to learn LCA basics and understand how it could yield value for their company1
  • Bachelor of Science students and professionals in engineering and computer science interested in green IT and sustainability1
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  • General enthusiasts, IT PhD students, and anyone curious about the role of technology in sustainability. No prior knowledge required.1
  • General learners interested in circular economy and sustainability (Girls Go STEM initiative)1
  • Graduate-level students with computer architecture and intro ML background1
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  • Researchers who write code, Research Software Engineers, Lab scientists who do computational work, Researchers who use HPC, Researchers who use GPUs1
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  • Software practitioners involved in building, deploying, or managing software applications — developers, DevOps, testers, architects, SREs, product managers, UX designers. At least one year of industry experience recommended.1
  • Students and researchers in academic and industry settings involved in computational work; anyone interested in the environmental impact of computing1
  • Students of the MSc Computer Science and the MSc Data Science and Artificial Intelligence Technology programmes at TU Delft; openly usable by any self-learner via the published GitHub materials1
  • Students, researchers, or developers who work or study in computer science or a related field and want to learn energy-efficient coding techniques1
  • Sustainability professionals, IT leaders, developers and engineers, policymakers, and business leaders interested in the environmental impact of digital infrastructure1
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  • students, early-career professionals, and lifelong learners with an interest in how AI can shape—and be shaped by—environmental sustainability goals1
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• • Author
  • Hasso Plattner Institute (openHPI)2
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• • Contributor
  • Green Software Foundation3
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  • Cambridge Sustainable Computing Lab1
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  • Imperial College London1
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• • Resource type
  • online course11
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  • university course (materials openly published; formal enrolment via TU Delft MSc programmes, but slides/schedule/GitHub repo are freely accessible)1
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• • Related resource
  • Sustainable computing in science2
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