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Introduction to Prompt Engineering

Rav Ahuja and Antonio Cangiano

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.

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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.

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.

What's inside

Learning objectives

  • 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.

Syllabus

Module 1: Prompt Engineering for Generative AI
* Video: Course Introduction
* Reading: Course Overview
* Reading: Program Overview
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* Reading: Helpful Tips for Course Completion
* Video: What Is a Prompt
* Video: What is Prompt Engineering?
* Hands-on Lab: Getting to Know our AI Prompting Tool
* Hands-on Lab: Experimenting with Prompts
* Video: Best Practices for Prompt Creation
* Hand-on Lab: Naive Prompting and Persona Pattern
* Video: Common Prompt Engineering Tools
* Video: Expert Viewpoints
* Reading: Module Summary
* Practice Quiz: Concept of Prompt Engineering
* Graded Quiz: Prompt Engineering for Generative AI
Module 2: Prompt Engineering: Techniques and Approaches
* Video: Text-to-Text Prompt Techniques
* Video: Interview Pattern Approach
* Hands-on Lab: The Interview Pattern Approach in Prompt Engineering
* Video 3: Chain-of-Thought Approach
* Hands-on Lab: The Chain-of-Thought Approach in Prompt Engineering
* Video 4: Tree-of-Thought Approach
* Hands-on Lab: The Tree-of-Thought Approach in Prompt Engineering
* Practice Quiz: Writing Effective Prompts
* Graded Quiz: Prompt Engineering: Techniques and Approaches
* Discussion Prompt: Future of Human-Crafted Prompts
Module 3: Course Quiz, Project, and Wrap-up
* Video: Text-to-Image Prompt Techniques
* Hands-on Lab: Effective Text Prompts for Image Generation
* Reading: Glossary: Generative AI: Prompt Engineering
* Final Project: Applying Prompt Engineering Techniques and Best Practices
* Graded Quiz - Generative AI: Prompt Engineering Basics
* Reading: Congratulations and Next Steps
* Reading: Thanks from the Course Team
* Reading: About the Optional Lesson using IBM watsonx.ai
* Lab: Obtain IBM Cloud Feature Code and Activate Trial Account
* Hands-on Lab: Creating an IBM Cloud Account
* Hands-on Lab: Exploring watsonx Prompt Lab

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces a field with growing demand for trained professionals
Provides instruction on a specialized topic in generative AI: prompt engineering
Ensures learning through hands-on labs and opportunities to write prompts
Learners can apply this knowledge to real-world projects and use cases
Instructors with industry experience provide practical insights
Provides a glossary to enhance understanding of generative AI terms

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Activities

Coming soon We're preparing activities for Introduction to Prompt Engineering. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Introduction to Prompt Engineering will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
A Natural Language Processing Engineer develops, deploys, and maintains machine learning models that can process and generate human language. This course introducing prompt engineering, the process of writing effective prompts for generative AI models, would be useful in this role, as NLP engineers often need to write prompts for these models to perform tasks such as text classification, text summarization, and machine translation. 
Data Scientist
A Data Scientist uses data analysis techniques to extract insights from structured and unstructured data. This course would be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the accuracy of machine learning models. Additionally, data scientists often need to write prompts for generative AI models, such as natural language processing models.
Content Writer
A Content Writer creates written content for websites, blogs, and other marketing materials. This course would be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the quality and effectiveness of written content. Additionally, content writers often need to write prompts for generative AI models, such as content generation models.
User Experience Designer
A User Experience Designer ensures that products and services are easy to use and enjoyable. This course would be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the user experience of products and services. Additionally, user experience designers often need to write prompts for generative AI models, such as natural language generation models.
Machine Learning Engineer
A Machine Learning Engineer is responsible for the development, deployment, and maintenance of machine learning models. This course may be useful in this role as it provides an introduction to prompt engineering, which is becoming increasingly important for improving the performance of machine learning models.
Copywriter
A Copywriter creates written content for advertising and marketing campaigns. This course would be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the persuasiveness and effectiveness of copywriting. Additionally, copywriters often need to write prompts for generative AI models, such as content generation models.
Academic Researcher
An Academic Researcher conducts research in a particular field of study. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the efficiency and effectiveness of research. Additionally, academic researchers often need to write prompts for generative AI models, such as literature review models.
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with a company's products and services. This course would be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the quality of customer support. Additionally, customer success managers often need to write prompts for generative AI models, such as customer feedback analysis models.
Software Engineer
A Software Engineer designs, develops, tests, and maintains software systems. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the efficiency and quality of software development. Additionally, software engineers often need to write prompts for generative AI models, such as code generation models.
Product Manager
A Product Manager is responsible for the development and launch of new products and services. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the efficiency and effectiveness of product development. Additionally, product managers often need to write prompts for generative AI models, such as market research models.
Technical Writer
A Technical Writer creates documentation and other materials to explain complex technical concepts. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the clarity and effectiveness of technical writing. Additionally, technical writers often need to write prompts for generative AI models, such as natural language generation models.
Marketing Manager
A Marketing Manager is responsible for the development and execution of marketing campaigns. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the targeting and effectiveness of marketing campaigns. Additionally, marketing managers often need to write prompts for generative AI models, such as content generation models.
Journalist
A Journalist researches, writes, and reports on news and current events. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the accuracy and efficiency of news gathering and reporting. Additionally, journalists often need to write prompts for generative AI models, such as news generation models.
Teacher
A Teacher develops and delivers lesson plans to educate students in a particular subject matter. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the effectiveness of teaching and learning. Additionally, teachers often need to write prompts for generative AI models, such as lesson planning models.
Sales Manager
A Sales Manager is responsible for the development and execution of sales strategies. This course may be useful in this role as it provides an introduction to prompt engineering, which can be used to improve the effectiveness of sales pitches and presentations. Additionally, sales managers often need to write prompts for generative AI models, such as lead generation models.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Prompt Engineering.
Provides a comprehensive overview of deep learning techniques for NLP. It covers advanced concepts such as transformer models and attention mechanisms, which are essential for understanding the inner workings of modern prompt engineering tools.
Provides a broad introduction to artificial intelligence, covering fundamental concepts and algorithms. It offers a good foundation for understanding the broader context of prompt engineering and its role in AI development.
This textbook provides a comprehensive overview of NLP, covering essential concepts, algorithms, and applications. It offers a good foundation for those looking to understand the broader context of prompt engineering and its use in various NLP tasks.
Explores the ethical and societal implications of AI, discussing the potential risks and benefits of prompt engineering. It offers thought-provoking insights for those interested in the responsible development and use of prompt engineering technologies.
Provides a fascinating overview of the history and evolution of machine learning, including the role of prompt engineering in the development of AI. It offers a broader perspective on the field and its potential impact on society.
Critiques the current state of AI and argues for a more cautious approach to its development. It raises important questions about the limitations and potential biases of prompt engineering, offering a valuable perspective for those interested in the ethical and responsible use of AI technologies.
Explores the potential risks and benefits of superintelligence, including the role of prompt engineering in shaping the future of AI. It offers thought-provoking insights for those interested in the long-term implications of AI development.
Explores the challenges of aligning AI systems with human values, discussing the role of prompt engineering in ensuring that AI technologies are used for good. It offers valuable insights for those interested in the ethical and responsible development of AI.

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