Full course description
Date & Time: Self-Paced
Location: Online Only
Presented By: Higher Ed+
Description:
This course offers an in-depth exploration of prompt engineering strategies for maximizing the effectiveness of generative artificial intelligence (AI) tools. Learners will master the CLAIRE Framework (Concise, Logical, Adaptive, Explicit, and Reflective) and learn how to craft high-quality prompts using key components such as persona, context, task, example, format, and tone. Through detailed demonstrations and iterative prompting techniques, the course provides practical guidance for improving AI outputs across diverse tasks. It also addresses common pitfalls and emphasizes the importance of adaptability, specificity, and structured communication when working with leading large language models.
Upon completion of this comprehensive and engaging course, you will be able to:
Explain what a prompt is in the context of Generative AI platforms
Implement the C.L.E.A.R Framework to engineer successful Generative AI prompts
Identify the 6 core components of an effective Generative AI prompt
Follow a 5-step prompting process to achieve your Generative AI output goals
Describe effective iterative prompting strategies for Generative AI platforms
List and avoid common Generative AI prompting pitfalls
Disclaimer:
Before proceeding with this Canvas module, please note:
The following content is provided by HigherEd+ from Publication Academy. Third-party perspectives on AI risk levels, tool recommendations, and implementation strategies may differ from Virginia Tech’s institutional approach and current policies.
Tools and resources discussed in this module should always be verified against Virginia Tech's approved list to ensure compliance with university policies. You can check approved tools at vt.edu/approved-ai-tools.
By proceeding, you acknowledge that you have read and understood this disclaimer.