IBM - Generative AI: Prompt Engineering Basics
- Offered byCoursera
Generative AI: Prompt Engineering Basics at Coursera Overview
Duration | 7 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Generative AI: Prompt Engineering Basics at Coursera Highlights
- Earn a certificate from IBM
- Add to your LinkedIn profile
- November 2023
- 5 assignments
Generative AI: Prompt Engineering Basics at Coursera Course details
- What you'll learn
- Explain the concept and relevance of prompt engineering in generative AI models.
- Apply best practices for creating prompts and explore examples of impactful prompts.
- Practice common prompt engineering techniques and approaches for writing effective prompts.
- Explore commonly used tools for prompt engineering to aid with prompt engineering.
- This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT.
- Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts.
- You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses.
- You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust.
- The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.
Generative AI: Prompt Engineering Basics at Coursera Curriculum
Prompt Engineering for Generative AI
Course Introduction
What Is a Prompt?
What Is Prompt Engineering?
Best Practices for Prompt Creation
Common Prompt Engineering Tools
Course Overview
Specialization Overview
Helpful Tips for Course Completion
Lesson Summary
Practice Quiz: Concept of Prompt Engineering
Graded Quiz: Prompt Engineering for Generative AI
Hands on Lab: Getting to Know Our AI Prompting Tool
Hands on Lab: Experimenting with Prompts
Hands on Lab: Naive Prompting and Persona Pattern
Prompt Engineering: Techniques and Approaches
Text-to-Text Prompt Techniques
Interview Pattern Approach
Chain-of-Thought Approach
Tree-of-Thought Approach
Lesson Summary
Prompt Hacks
Practice Quiz: Writing Effective Prompts
Graded Quiz: Prompt Engineering: Techniques and Approaches
Hands on Lab: The Interview Pattern Approach in Prompt Engineering
Hands-on Lab: The Chain-of-Thought Approach in Prompt Engineering
Hands-on Lab: The Tree-of-Thought Approach in Prompt Engineering
Future of Human-Crafted Prompts
Course Quiz, Project, and Wrap-up
Text-to-Image Prompt Techniques
Congratulations and Next Steps
Thanks from the Course Team
About the Optional Lesson using IBM watsonx.ai
Graded Quiz - Generative AI: Prompt Engineering Basics
Final Project: Applying Prompt Engineering Techniques and Best Practices
Obtain IBM Cloud Feature Code and Activate Trial Account
Hands-on Lab: Effective Text Prompts for Image Generation
Glossary: Generative AI Prompt Engineering
Creating an IBM Cloud Account
Exploring watsonx Prompt Lab
Generative AI: Prompt Engineering Basics at Coursera Admission Process
Important Dates
Other courses offered by Coursera
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