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Master the use of AI in academic settings

Strategic Use of Generative AI

23 mrt. 2026 09:00 - 17:00

This workshop is designed to equip you with a foundational understanding of generative AI, its practical applications, and its limitations. This course will help you use AI more effectively and responsibly.

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Praktische info:

23 mrt. 2026 09:00 - 17:00
8 uur
Antwerp - Campus Drie Eiken UAntwerpen | room S.138, building S
Engels
Doelgroep: Researchers, technical professionals, and industry practicioners

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  • Voorwaarden: No prior experience is required
  • Prijs: €100
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Generative AI is rapidly transforming how we work, communicate, and conduct research. For researchers, support staff, and professionals across disciplines, understanding how to strategically use tools like ChatGPT and other large language models (LLMs) is becoming essential. This introductory training is designed to equip you with a foundational understanding of generative AI, its practical applications, and its limitations. Whether you're drafting research proposals, automating routine tasks, or exploring new ways to generate content, this course will help you use AI tools more effectively and responsibly.

We will cover different aspects of using ChatBots powered with LLMs, including the ethical and ownership aspects, the theoretical background, and several examples of practical application, among which are how to strategically prompt your request for text generation in any context,  how to generate high-quality content for research papers, and grant applications.

Morning session

The morning session introduces the core concepts of generative AI, including ethical considerations, data ownership, and hands-on examples of everyday use. It is ideal for administrative staff, support roles, and anyone curious about integrating AI into their workflow or personal projects.

Afternoon session

Building on the morning session, the afternoon dives deeper into academic and research-specific use cases. Participants will explore how generative AI can support scientific writing, literature reviews, data analysis, and grant writing, with a focus on strategic prompting and critical evaluation of AI-generated content.