A hands-on course exploring different generative AI tools for different use cases.
Overview
Syllabus
Introduction
- GenAI and productive research
- What is generative AI (GenAI)?
- Evolution of generative AI
- Generative AI vs. large language models
- Generative AI tools
- Prompt engineering for generative AI tools
- Considerations in using generative AI tools
- Working with Google Gemini
- Writing with Google Gemini
- Data exploration with Google Gemini
- Image description with Google Gemini
- Extract text from an image with Google Gemini
- Working with Microsoft Copilot in Edge
- Image generation with Microsoft Copilot Designer
- Design creation with Microsoft Copilot Designer
- Create a simple brand kit with Microsoft Copilot Designer
- Setting up Elicit AI for scientific literature searches
- Literature search in Elicit AI
- Working with Litmaps for academic literature discovery
- Generate a seed map for research articles with Litmaps
- Discover related research papers with Litmaps
- Working with SciSpace for scientific literature
- SciSpace for literature review
- Parse a PDF document using SciSpace Copilot
- Citation generation using SciSpace
- Scholarly paraphrasing with SciSpace
Taught by
Wuraola Oyewusi