About this Course
We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications. The course will show how you can: - Leverage prompt engineering techniques to generate more reliable outputs - Master methods to verify and validate outputs - Frame problems in alternative ways to reduce risk - Apply generative AI for creative ideation - Use Generative AI in ways that augment rather than replace human reasoning and creativity
What You'll Learn
- Identify problems suitable for generative AI
- Frame problems and engineer prompts to improve results
- Verify outputs and use AI for ideation
- Augment human skills with AI
- Apply ethical and beneficial AI applications
Prerequisites
- Basic familiarity with generative AI tools such as ChatGPT, Claude, or Bard
Instructors
Dr. Jules White
Professor of Computer Science