Introduction to GenAI and Prompt Engineering

A short self-paced introduction to generative AI and prompt engineering for professionals who want practical skills they can use right away.

Description

Introduction to GenAI and Prompt Engineering is a short self-paced course designed to help learners quickly understand the basics of generative AI and how to use prompts more effectively.

This course gives participants a practical foundation for working with modern AI tools. It focuses on what generative AI can do, where it adds value, and how better prompts can improve the quality, relevance, and usefulness of AI-generated results.

Key takeaways from this class include:

  • Understanding the basics of generative AI and common use cases
  • Learning how prompts influence AI responses
  • Writing clearer prompts using context and constraints
  • Applying simple prompt engineering techniques to improve outcomes

Who Should Attend

This course is designed for professionals, team members, and leaders who want a quick and practical introduction to generative AI and prompt engineering without a deep technical prerequisite.

Course Structure

This is a two-hour self-paced course designed for flexible learning and immediate application.

Course Duration and Schedule

Self-Paced Format

Access and take the course at your own pace, with a recommended completion time of two hours.

Upcoming Training

There are currently no scheduled classes for this course. If you would like to request one, click here for more information.

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Course Outline

Session 1: Understanding Generative AI

  • What generative AI is and how it works at a high level
  • Common business uses for GenAI tools
  • Strengths, limitations, and risks of AI-generated output

Session 2: Prompt Engineering Basics

  • How prompts shape model responses
  • Techniques for writing clearer, more effective prompts
  • Improving results through context, constraints, and iteration

Wrap up & Next steps

  • Practical ways to apply GenAI in daily work
  • Prompting tips to continue practicing after the course
  • Key takeaways and next steps

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