Cloud Sparks Writing Effective Prompts for Generative AI

Overview

This course introduces the fundamentals of prompting large language models and explores techniques to improve the quality of generative AI outputs. Learners will gain practical skills to interact effectively with generative AI, understand its capabilities, and apply best practices for prompt design and output accuracy.

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.

Target Audience

This course is designed for business professionals who apply generative AI techniques to solve common day-to-day tasks.

Objectives

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

• 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

What is Generative AI?

• Definition of generative AI
• Capabilities of generative AI
• Tasks generative AI can help with
• Group discussion

Searching vs Prompting

• Differences between keyword search and prompting
• Prompt examples
• The benefits of prompting
• Activity with Google Gemini

Prompt Design Best Practices

• 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
• Demos and activity with Google Gemini

Improving Output Accuracy

• Hallucinations definition
• Use prompt instructions
• Grounding and citations
• Double-check responses
• Developer settings
• Demos and activity with Google Gemini

Quiz & Summary

• Quiz questions
• Course summary
• Q&A

Exams and Assessments

The course includes a quiz as an assessment.

Hands-On Learning

Learners will engage in group discussions, activities with Google Gemini, and demonstrations to apply prompt design and output improvement techniques in practical scenarios.