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Instructors: Antonio Cangiano
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This course is suitable for everyone regardless of prior AI or technical background.
(2,765 reviews)
Recommended experience
Beginner level
This course is suitable for everyone regardless of prior AI or technical background.
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.
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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.
In this module, you will learn the concept of prompt engineering in generative AI. You will also learn the best practices for writing effective prompts and assess common prompt engineering tools.
7 videos4 readings2 assignments3 app items
In this module, you will discover techniques for skillfully crafting prompts that effectively steer generative AI models. You will also learn about various prompt engineering approaches that can enhance the capabilities of generative AI models to produce precise and relevant responses.
5 videos2 readings2 assignments3 app items1 discussion prompt
This module includes a graded quiz to test and reinforce your understanding of concepts covered in the course. The module also includes a glossary to enhance comprehension of generative AI-related terms. The module includes a final project, which provides an opportunity to gain hands-on experience on the concepts covered in the course. The module also includes optional content. This content includes the techniques for writing effective prompts for image generation. Additionally, you can learn about Prompt Lab, a prompting tool designed to maximize your prompt engineering capabilities in IBM watsonx.
1 video3 readings1 assignment3 app items3 plugins
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Oct 12, 2024
Generative AI: Prompt Engineering Basics provides a clear overview of effective prompt design and essential strategies for optimizing AI output
Reviewed on Feb 1, 2025
Great content! Especially the lab environment provided by IBM Watsonx is extremely useful. Looking forward to an advanced course in this series.
Reviewed on Aug 2, 2024
The course was so useful and informative. You can learn a lot about how to use the right prompts when using AI in order to get the ideal outcome.
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