What You’ll Learn
Explain the concept, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.
Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.
Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.
Explore commonly used tools for prompt engineering to aid with prompt engineering.
Skills You’ll Gain
Shareable Certificate
Earn a shareable certificate to add to your LinkedIn profile.
Develop Your Specialized Knowledge
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There are 3 modules in this course
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.
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.
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.