GENAI101: Foundations of Generative AI for Research

Course Description

GenAI101 introduces researchers to the fundamentals of Generative AI and its practical use in the early stages of the research lifecycle. The course focuses on understanding how large language models work, what their limitations are, and how they can support the planning and preparation phases of research.

Participants learn how GenAI can assist with ideation, literature exploration, and research design while maintaining academic rigor and responsible use. Through demonstrations and hands-on exercises, the course shows how researchers can use GenAI tools to clarify research questions, synthesise literature, and structure research plans more efficiently.

The course also highlights risks such as hallucinations, bias, and data sensitivity, equipping participants with strategies to critically evaluate and verify AI-generated outputs. By the end of the course, participants will be able to integrate GenAI productively into early research workflows.

You'll learn

• How generative AI models work, including capabilities and limitations
• Practical prompting techniques for research tasks
• Using GenAI to generate and refine research ideas
• Supporting literature search, summarisation, and synthesis
• Using GenAI to assist with research design and study planning
• Strategies for responsible and transparent use of GenAI in research

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