Course Details
This comprehensive course introduces you to the core concepts and techniques of prompt engineering. Whether you’re new to AI or looking to enhance your skills, you’ll gain practical, hands-on experience in crafting prompts that produce accurate, reliable, and context-aware outputs from AI models.
Skills You’ll Master:
- Foundations of Prompt Engineering – Understand how prompts influence AI model responses
- Designing Effective Prompts – Structure inputs to guide AI outputs with precision
- Iterative Prompt Refinement – Optimize prompts through testing and feedback
- Advanced Prompt Techniques – Use role prompting, few-shot examples, and chain-of-thought strategies
Work on real-world scenarios to design, test, and refine prompts, enabling you to unlock the full potential of AI tools for various applications.
What You’ll Learn
This comprehensive course covers the complete prompt engineering toolkit for AI interactions. Here are the key skills and techniques you’ll master:
- Understand the fundamentals of prompt engineering and its role in AI interactions.
- Learn how large language models (LLMs) process and respond to prompts.
- Explore different types of prompts, including zero-shot, one-shot, and few-shot.
- Master techniques for crafting clear, specific, and effective prompts.
- Experiment with prompt formatting, structure, and context to improve outputs.
- Apply prompt engineering to various AI applications such as text generation, summarization, and translation.
- Learn methods to guide AI towards creative, analytical, or factual responses.
- Optimize prompts for accuracy, relevance, and reduced bias.
- Troubleshoot common prompt engineering challenges and refine results.
- Explore prompt chaining and iterative refinement for complex tasks.
- Gain hands-on experience in designing prompts for real-world use cases.
Pro Tip:This course focuses on practical application rather than theory. You’ll work on real prompt engineering scenarios that you can apply immediately in your AI projects and workflows.
Course Content
Requirements
This course is designed to be beginner-friendly and is open to anyone,
regardless of prior experience or background.
Course Description
Prompt Engineering Essentials is designed to equip you with the skills and
techniques needed to communicate effectively with large language models
(LLMs) and other generative AI tools. The course begins by introducing the
fundamentals of prompt engineering and explaining how AI models interpret
and respond to different prompt types. You will learn to craft precise, clear,
and context-rich prompts that produce accurate, relevant, and creative
outputs. Through practical exercises, you will explore techniques such as zero-
shot, one-shot, and few-shot prompting, as well as prompt chaining and
iterative refinement for complex problem-solving. The course also covers
strategies to optimize prompts for various applications, including text
generation, summarization, translation, and data analysis, while minimizing
bias and errors. By the end of the program, you will have the confidence and
expertise to design effective prompts for real-world AI applications.
Course Content
Our comprehensive curriculum is organized into core modules, designed to take you from beginner to proficient in prompt engineering:
- Video: Course Introduction (2:55) – 3 min
- Reading: Course Overview – 3 min
- Reading: Program Overview – 1 min
- Reading: Helpful Tips for Course Completion – 1 min
- General Information – 1 min
- Learning Objectives and Syllabus – 1 min
- Grading Scheme – 1 min
- Reading: Module Introduction and Learning Objectives – 1 min
- Video: What Is a Prompt? (5:26) – 6 min
- Video: What Is Prompt Engineering? (6:11) – 7 min
- Hands-on Lab: Getting to Know our AI Prompting Tool – 1 min + 1 activity
- Hands-on Lab: Experimenting with Prompts – 1 min + 1 activity
- Video: Best Practices for Prompt Creation (5:33) – 6 min
- Hands-on Lab: Naive Prompting and Persona Pattern – 1 min + 1 activity
- Video: Common Prompt Engineering Tools (5:46) – 6 min
- Reading: Module Summary – Prompt Engineering for Generative AI – 2 min
- Practice Quiz: Concept of Prompt Engineering (3 Questions) – 1 activity
- Future Use Case of Prompt Engineering – 1 min
- Graded Quiz: Prompt Engineering for Generative AI (4 Questions) – 1 activity
- Reading: Module Introduction and Learning Objectives – 1 min
- Video: Text-to-Text Prompt Techniques (6:28) – 7 min
- Video: Interview Pattern Approach (2:49) – 3 min
- Hands-on Lab: The Interview Pattern Approach in Prompt Engineering – 1 min + 1 activity
- Video: Chain-of-Thought Approach (2:52) – 3 min
- Hands-on Lab: The Chain-of-Thought Approach in Prompt Engineering – 1 min + 1 activity
- Video: Tree-of-Thought Approach (2:55) – 3 min
- Hands-on Lab: The Tree-of-Thought Approach in Prompt Engineering – 1 min + 1 activity
- Reading: Module Summary – Prompt Engineering: Techniques and Approaches – 2 min
- Practice Quiz: Writing Effective Prompts (3 Questions) – 1 activity
- Graded Quiz: Prompt Engineering: Techniques and Approaches (4 Questions) – 1 activity
- Reading: Module Introduction and Learning Objectives – 1 min
- Final Exam: Prompt Engineering Essentials (7 Questions) – 1 activity
- Final Project: Applying Best Practices for Writing Prompts – 1 min + 1 activity
- Retake Exam – 1 activity
- Video: Text-to-Image Prompts Techniques (6:15) – 7 min
- Hands-on Lab: Effective Text Prompts for Image Generation – 1 min
- Hands-on Lab: Obtain IBM Cloud Feature Code and Activate Trial Account – 2 min + 1 activity
- Hands-on Lab: Creating an IBM Cloud Account – 1 min
- Hands-on Lab: Getting to Know watsonx Prompt Lab – 1 min
- Course Rating Feedback – 1 activity
- How to Claim Your Certificate – 1 min
- Claim Your Badge Here
- Glossary: Prompt Engineering Essentials – 1 min
- Reading: Congratulations and Next Steps – 1 min
- Reading: Team & Acknowledgements – 1 min
Highlights of this Course:
Upon successful completion of the course, you will receive a Course
Completion Certificate and a Project Completion Certificate.
