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. You will also explore similar concepts when working with multimodal models such as Gemini Vision Pro.

Prerequisites

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

Course Objectives

  • Understand the basics of generative AI and how it compares to traditional AI.
  • Design effective prompts following general best practices.
  • Improve large language model outputs using easy-to-approach prompt engineering techniques.
  • Write effective prompts for interacting with multimodal models such as Gemini Vision Pro.

Outline: Writing Effective Prompts for Generative AI (WEPGAI)

Module 1 - Understanding Generative AI

Topics:

  • Gen AI vs. AI/ML
  • Gen AI Applications
  • Business Impact of Gen AI

Objectives:

  • Define generative AI as a subset of AI.
  • Discuss the potential impact of AI on organizations .
  • Provide examples of generative AI applications.

Module 2 - Prompt Design

Topics:

  • Prompt content types.
  • Prompt design strategies.
  • Iterating prompts for improvement.

Objectives:

  • Understand the role of context and examples in prompts.
  • Iterate on prompts to improve model output.

Activities:

  • Lab: Introduction to Prompt Design

Module 3 - Improving Prompts

Topics:

  • Prompt design versus prompt engineering
  • Zero-shot and few-shot prompting
  • Chain-of-thought prompting
  • Overview of additional techniques

Objectives:

  • Describe the difference between prompt design and prompt engineering.
  • Write prompts using few-shot and chain-of-thought techniques.
  • Learn about additional prompt engineering techniques being used today.

Activities:

  • Lab: Improving your Prompts

Module 4 - Working with Multimodal Models

Topics:

  • What is a multimodal model?
  • Prompt design strategies
  • Best practices for multimodal prompts
  • Troubleshooting your multimodal prompt

Objectives:

  • Understand the multimodal models and their use cases.
  • Design effective prompts for multimodal models.

Activities:

  • Lab: Writing Prompts for Gemini Pro Vision

Prices & Delivery methods

Online Training

Duration
3 hours

Price
  • US$ 595
Classroom Training

Duration
3 hours

Price
  • United States: US$ 595

Click on town name or "Online Training" to book Schedule

This is an Instructor-Led Classroom course
Instructor-led Online Training:   This is an Instructor-Led Online (ILO) course. These sessions are conducted via WebEx in a VoIP environment and require an Internet Connection and headset with microphone connected to your computer or laptop.
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.

Germany

Online Training Time zone: Europe/Berlin Enroll
Online Training Time zone: Europe/Berlin Enroll

Italy

Rome This is a FLEX course. Enroll
Online Training Time zone: Europe/Rome Enroll
Milan This is a FLEX course. Enroll
Online Training Time zone: Europe/Rome Enroll