CS-WREFPRAIOfficial Google Curriculum
Writing Effective Prompts for Generative AI
1 dayILTIntroductoryLoading...
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.
What You'll Learn
- 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.
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.
Products Covered
Google GeminiGoogle Workspace with Gemini
Course Modules
1
What is generative AI?
Topics
- Definition of generative AI
- Capabilities of generative AI
- Tasks generative AI can help with
Learning Outcomes
- Explain the capabilities of generative AI and list possible use cases.
Activities
1x group discussion
2
Searching vs prompting
Topics
- Differences between keyword search and prompting
- Prompt examples
- The benefits of prompting
Learning Outcomes
- Identify the differences between keyword search and prompting, and list the benefits of prompting.
Activities
1x activity with Google Gemini
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
Learning Outcomes
- Describe and apply prompt design best practices.
Activities
6x demos1x activity with Google Gemini
4
Improving output accuracy
Topics
- Hallucinations definition
- Use prompt instructions
- Grounding and citations
- Double-check responses
- Developer settings
Learning Outcomes
- Describe and apply approaches to improve the accuracy of generative AI responses.
Activities
3x demos1x activity with Google Gemini
5
Quiz & Summary
Topics
- Quiz questions
- Course summary
- Q&A
Activities
1x quiz
What's Not Covered
- Theory and in-depth explanations of Google AI tools and generative AI.
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- CS-WREFPRAI
- Duration
- 1 day
- Format
- ILT
- Level
- Introductory
- Modules
- 5
- Activities
- 14
- Price
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Questions About This Course?
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