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Prompt Engineering Essentials
Course
Prompt Engineering Essentials
Master the art of prompting. Learn proven techniques to craft effective prompts that unlock the full potential of any LLM.
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
7 hours
This course is designed for everyone, including professionals, executives, developers, students, and enthusiasts interested in leveraging effective prompting techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT and large language models (LLMs).
Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. Don't let the word 'engineering' scare you. This course is anyone who wants to learn the techniques, approaches, and best practices for writing effective prompts.
You will learn about prompt techniques like zero-shot and few-shot prompting, which can improve the reliability and quality of 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 Skills Network 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 comprises four purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 7 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.Once you have successfully completed the course, you will earn your IBM Certificate.You will be able to:
- 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.
Anyone curious about how to design prompts to control AI behavior and output
Basic understanding of AI
Course Outline
Video: Course Introduction (2:55)
Reading: Course Overview
Reading: Program Overview
Reading: Helpful Tips for Course Completion
General Information
Learning Objectives and Syllabus
Grading Scheme
Reading: Module Introduction and Learning Objectives
Video: What Is a Prompt? (5:26)
Video: What Is Prompt Engineering? (6:11)
Hands on Lab: Getting to Know our AI Prompting Tool
Hands on Lab: Experimenting with Prompts
Video: Best Practices for Prompt Creation (5:33)
Hands on Lab: Naive Prompting and Persona Pattern
Video: Common Prompt Engineering Tools (5:46)
Reading: Module Summary - Prompt Engineering for Generative AI
Practice Quiz: Concept of Prompt Engineering (3 Questions)
Future Use Case of Prompt Engineering
Graded Quiz: Prompt Engineering for Generative AI (4 Questions)
Reading: Module Introduction and Learning Objectives
Video: Text-to-Text Prompt Techniques (6:28)
Video: Interview Pattern Approach (2:49)
Hands on Lab: The Interview Pattern Approach in Prompt Engineering
Video: Chain-of-Thought Approach (2:52)
Hands-on Lab: The Chain-of-Thought Approach in Prompt Engineering
Video: Tree-of-Thought Approach (2:55)
Hands-on Lab: The Tree-of-Thought Approach in Prompt Engineering
Reading: Module Summary - Prompt Engineering: Techniques and Approaches
Practice Quiz: Writing Effective Prompts (3 Questions)
Graded Quiz: Prompt Engineering: Techniques and Approaches (4 Questions)
Reading: Module Introduction and Learning Objectives
Final Exam: Prompt Engineering Essentials (7 Questions)
Final Project : Applying Best Practices for Writing Prompts
Video: Text-to-Image Prompts Techniques (6:15)
Hands-on Lab: Effective Text Prompts for Image Generation
Hands-on Lab: Obtain IBM Cloud Feature Code and Activate Trial Account
Hands-on Lab: Creating an IBM Cloud Account
Hands-on Lab: Getting to Know watsonx Prompt Lab
Glossary: Prompt Engineering Essentials
Reading: Congratulations and Next Steps
Reading: Team & Acknowledgements
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
The Prompt Engineering Essentials course teaches you how to write effective prompts for AI models and large language models (LLMs). This AI prompt course provides practical techniques to guide AI outputs, improve reliability, and enhance response quality.
This course is suitable for professionals, developers, students, and AI enthusiasts who want to learn prompt engineering for ChatGPT and other LLMs. No prior AI or programming experience is required.
You will learn zero-shot and few-shot prompting, advanced approaches like Chain-of-Thought and Tree-of-Thought, and hands-on prompt optimization using IBM watsonx Prompt Lab, Spellbook, and Dust.
Yes. The course focuses on prompt engineering techniques for ChatGPT and other large language models, helping you produce precise, consistent, and high-quality AI responses.
Yes. The course includes hands-on labs where you practice prompt design, test different prompting strategies, and optimize outputs in the IBM Skills Network AI Classroom.
Upon completion, you will earn an industry-recognized IBM certificate that validates your skills in prompt engineering, boosting your resume and career opportunities.
By applying structured prompting techniques, including zero-shot, few-shot, and Chain-of-Thought approaches, you can guide AI models to deliver more accurate, relevant, and reliable results.
You will gain experience with popular prompt engineering tools such as IBM Watsonx Prompt Lab, Spellbook, and Dust, enabling real-world application of prompt optimization techniques.
Yes. The Prompt Engineering Essentials course is designed for beginners, teaching the fundamentals of prompt engineering regardless of prior AI or programming experience.
Type of certificate
IBM Certificate
About this course
04 Modules
02 Skills
Includes
Discussion space
10 Hands-on labs
02 Practice quizzes
02 Graded quizzes
01 Final exam
01 Final project
Create
IBM Cloud Account
Effective Text Prompts for Image Generation
Exercises to explore
Getting to Know our AI Prompting Tool
Experimenting with Prompts
Naive Prompting and Persona Pattern
The Interview Pattern, Chain-of-Thought, & Tree-of-Thought Approach in Prompt Engineering
Getting to Know watsonx Prompt Lab
This course has been created by
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