This unit introduces core concepts and vocabulary of AI, machine learning, and prompt engineering, explains how prompts guide AI responses across platforms and input modalities, and establishes foundational practices for crafting, testing, and refining prompts. It also frames ethical, privacy, and bias concerns to prepare students for advanced optimization and application-focused units to follow.
Learning Objectives
- Analyze key differences among AI, machine learning, and deep learning and summarize how each influences prompt behavior and output quality
- Demonstrate multiple methods for providing data input to AI systems (text, structured data, system messages, and files) and compare how different platforms and prompt formats affect responses
- Apply core prompt-design principles—context, clarity, conciseness, persona/depth, and iterative testing—to create, evaluate, and refine at least three prompts for distinct simple tasks
- Evaluate ethical, privacy, and bias-related risks in prompt design and recommend at least three practical strategies to reduce bias and protect privacy in prompt engineering workflows
Curriculum
- 1 Section
- 37 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 1 — Foundations of Prompt Engineering37
- 1.1Why This Book Now?20 mins
- 1.2Understanding AI, Machine Learning, and Deep Learning20 mins
- 1.3How Did Prompts Originate20 mins
- 1.4How Can You Provide Data Input to an AI System20 mins
- 1.5Making AI Accessible to Everyone20 mins
- 1.6How Prompts Guide the AI’s Response20 mins
- 1.7Various Platforms and Their Prompt Formats20 mins
- 1.8Recognizing Characters and Depth of Prompts20 mins
- 1.9Understanding a Prompt Dictionary20 mins
- 1.10Key Factors to Consider: Context, Clarity, and Conciseness20 mins
- 1.11Common Mistakes to Avoid When Crafting Prompts20 mins
- 1.12Understanding Different Components of a Prompt20 mins
- 1.13Step-by-Step Guide to Crafting Your First Prompt20 mins
- 1.14Step-by-Step Instruction Guide20 mins
- 1.15Testing and Evaluating Your Prompts20 mins
- 1.16Iterating and Refining Your Prompts20 mins
- 1.17Prompt Engineering for Various Applications20 mins
- 1.18Tips and Tricks for Advanced Prompt Engineering20 mins
- 1.19Advanced Techniques: Machine Learning for Prompt Optimization20 mins
- 1.20Understanding Bias in AI and Prompts20 mins
- 1.21Strategies for Reducing Bias in Your Prompts20 mins
- 1.22Ethical Guidelines for Prompt Design20 mins
- 1.23Prompts and Privacy Considerations20 mins
- 1.24Future Ethical Challenges in Prompt Engineering20 mins
- 1.25Advanced Techniques: Automated Bias Detection20 mins
- 1.26Applications in Prompt Engineering20 mins
- 1.27Prompts for Creative Writing20 mins
- 1.28Prompts for Business Applications20 mins
- 1.29Prompts for Educational Uses20 mins
- 1.30Prompts for Coding and Software Development20 mins
- 1.31Prompts for Entertainment and Gaming20 mins
- 1.32Personalized Prompts—Beyond Generic Queries20 mins
- 1.33A/B Testing of Prompts20 mins
- 1.34What Is GPT-4?20 mins
- 1.35How Does ChatGPT-3 Use Prompts?20 mins
- 1.36Practical Examples of ChatGPT-3 Applications20 mins
- 1.37Limitations and Ethical Considerations20 mins
Instructor
Free
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