Prompt Engineering in Generative AI for Data Science
College of Business Administration
Description
In this course, you will learn how to:
- Design and optimize prompts for generative AI models (like GPT-4) to improve data analysis outcomes
- Integrate AI-powered tools into your data science workflows
- Evaluate the outputs of AI models and refine prompts
- Apply ethical considerations when using AI in business contexts
- Leverage GAI for improved data preprocessing, analytics, and visualization while following industry best practices
To successfully complete the microcredential and earn a digital badge, you must achieve a minimum passing score of 70%.
Level
Foundational
Who Is Eligible
Anyone
Credit or Noncredit
Noncredit
Skills Obtained
- Data Science
- Data Analytics
- Prompt Engineering
- Data Management
- Extraction, Transformation, and Loading (ETL)
Instruction Method
Online
Time To Complete
Weeks
Instructor: Rachael Xiong
Assistant Professor – Department of Management
More information:
microcred@k-state.edu