Writing Effective Prompts for Generative AI (WEPGAI)

 

Course Overview

As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles. In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models.

Who should attend

Business professionals who apply generative AI techniques to solve common day-to-day tasks.

Prerequisites

Attendees should have access to gemini.google.com to complete the course activities.

There are no other prerequisites for this course. It aims to provide both introductory and advanced insights into generative AI, making it suitable for individuals with varying levels of AI expertise.

Course Objectives

  • Explain the capabilities of generative AI and list possible use cases.
  • Identify the differences between keyword search and prompting, and list the benefits of prompting.
  • Describe and apply prompt design best practices.
  • Describe and apply approaches to improve the accuracy of generative AI responses.

Outline: Writing Effective Prompts for Generative AI (WEPGAI)

Module 1 - What is Generative AI?

Topics:

  • Definition of Generative AI
  • Capabilities of Generative AI
  • Tasks generative AI can help with

Objectives:

  • Explain the capabilities of generative AI and list possible use cases.

Activities:

  • Group discussion

Module 2 - Searching vs Prompting

Topics:

  • Differences between keyword search and prompting.
  • Prompt examples.
  • The benefits of prompting.

Objectives:

  • Identify the differences between keyword search and prompting, and list the benefits of prompting.

Activities:

  • Activity with Google Gemini

Module 3 - Prompt Design Best Practices

Topics:

  • The importance of prompt design
  • General best practices
  • Use prompt building blocks
  • Provide examples
  • Iterate through prompts
  • Define follow-up prompts
  • Chain-of-thought
  • Prompt editor

Objectives:

  • Describe and apply prompt design best practices.

Activities:

  • 6 Demos
  • 1 Activity with Google Gemini

Module 4 - Improving output accuracy

Topics:

  • Hallucinations definition
  • Use prompt instructions
  • Grounding and citations
  • Double-check responses
  • Developer settings

Objectives:

  • Describe and apply approaches to improve the accuracy of generative AI responses.

Activities:

  • 3 Demos
  • 1 Activity with Google Gemini

Module 5 - Quiz and Summary

Prices & Delivery methods

Online Training

Duration
3 hours

Price
  • CAD 485
Classroom Training

Duration
3 hours

Price
  • Canada: CAD 485

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Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.

Italy

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Online Training Time zone: Central European Summer Time (CEST) Enroll
Online Training Time zone: Central European Summer Time (CEST) Enroll
Online Training Time zone: Central European Time (CET) Enroll
Online Training Time zone: Central European Time (CET) Enroll