AI-supported tools for scientific work – now available as a self-study course

The ETH Library is offering a new self-learning course on Moodle to explore generative AI and AI-based tools in more depth.

The self-learning course ‘AI-based tools for scientific writing and research’ is aimed at all ETH members who want to expand their research, reading and writing skills using modern AI tools. It gives you a comprehensive overview of the AI tools currently available and their strengths and weaknesses. Among other things, you will learn

  • how large language models (LLMs) work and what opportunities and risks they present,
  • tips for effective prompting and practical use cases,
  • how you can create your own AI tools,
  • how to read and write scientific texts with AI support,
  • how LLMs can be used for learning and research,
  • how to maintain scientific integrity and avoid plagiarism and other ethical risks when using them.

Interactive learning and continuous updates
The course offers not only in-depth content but also interactive exercises to explore specific topics in more detail, such as creating your own AI bots or AI-supported literature search. In addition, the ETH Library provides monthly updates on new tools, best practices and current developments in the field of generative AI, so you can stay up to date with the latest developments. The course will remain under construction throughout the spring semester, with new topics continuously being added, but it is already available with the most important modules on Moodle at all times.

In addition, you can find further offers from the ETH Library for working with generative AI and other AI-based tools on this overview page.

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