This course is designed for practitioners and enthusiasts passionate about learning prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) models.

This course explains the techniques, approaches, and best practices for writing effective prompts**.** You will learn to utilize these techniques to effectively guide generative AI models and control their output to obtain the desired results.

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.

After completing this course, you will be able to:

• Explain the concept and relevance of prompt engineering in Generative AI models
• Assess commonly used tools for prompt engineering
• Apply best practices for writing effective prompts
• Apply common prompt engineering techniques and approaches for writing prompts

Course Content

This course is divided into three modules. It is recommended that you complete one module per week or at a pace that suits you - whether its a few hours every day, or completing the entire course over a weekend or even in one day.

Week 1 - Module 1: Prompt Engineering for Generative AI

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.

Week 2 - Module 2: Prompt Engineering: Techniques and Approaches

In this module, you will discover techniques to craft 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.

Week 3 - Module 3: Course Quiz and Wrap-Up

In this module, you will attempt a graded quiz that will test and reinforce your understanding of the concepts covered in the course. The module also includes a glossary to enhance your comprehension of generative AI-related terms. Finally, this module will guide you toward the next steps in your learning journey.

This module also includes optional topics related to text-to-image prompting and prompt engineering capabilities in IBM watsonx.

Learning Resources