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Course Description:

How do we prompt a Gen AI tool to get actionable outputs? We start by knowing the scope of the training data and the underlying design of the tool we choose so that we can tailor our prompts. Attendees will also confront common prompting pitfalls and learn how to debug underperforming outputs by refining their own prompting behavior.

Course Objective:

By the end of this course, participants will be able to:

• Evaluate Gen AI outputs based on training limitations and prompting structure
• Tailor prompts by role, task, and tool interface to improve relevance and clarity
• Diagnose weak AI responses and apply effective re-prompting strategies
• Distinguish between general and guided prompt environments and optimize usage accordingly
• Develop and deliver high-quality, complex prompts with better expectations and reduced reliance on trial-and-error

Please reach out to Sam Slagle for more information.