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Introduction to Prompt Engineering

Working with AI has now become a necessity rather than an option for productive work.

Have you ever thought about how to ask better questions to get better answers?

Or perhaps, you found the AI's response too lengthy to understand or poorly organized, making it difficult to locate the desired information.

Prompt Engineering provides answers to these questions. It is not just about writing but an engineering process that helps AI accurately understand human intentions and produce desired outcomes.

In fact, research findings show that systematic prompt methods like Few-Shot Prompting, Chain-of-Thought Prompting, and Generated Knowledge Prompting can improve response accuracy by approximately 70%.

The curriculum covers the principles of how AI understands prompts, the basic elements such as delimiters and tokens, and how to utilize prompt engineering to enhance work productivity.


Curriculum Overview​

The first course, Basics of Prompt Engineering, introduces the fundamental concepts and various prompt techniques.

The second course, Applying Prompt Engineering to Work, builds on the concepts from the first course, detailing how to apply prompt engineering in real work scenarios.


1. Basics of Prompt Engineering​

Introduces the fundamental concepts and principles of prompt engineering.


Chapter 1: Introduction to Prompt Engineering​

  1. Why Learn Prompt Engineering?

  2. Four Steps in How Generative AI Works: AI is a Function

  3. What is a Prompt?

  4. How Generative AI Understands Prompts

  5. The Meaning and Development History of GPT

  6. Utilizing AI Image Analysis in Work

  7. AI's Rebellious Phase: Hallucination

  8. Using Delimiters to Make Prompts Easy to Understand

  9. Understanding the Role of Tokens to Reduce Costs

  10. Writing Prompts that Yield Satisfactory Answers the First Time

  11. How do ChatGPT and Claude's Responses Differ in the Same Scenario?


Chapter 2: Prompt Engineering Techniques​

  1. Zero Shot Prompting: Asking Without Examples

  2. Few Shot Prompting: Asking with Examples

  3. Chain of Thought Prompting: Step by Step

  4. Prompt Chaining: Tying Prompts Together

  5. Least-to-Most Prompting: Gradually Deepening

  6. Analogical Prompting: Finding Solutions in Similarities

  7. Generated Knowledge Prompting: Adding Depth to Answers

  8. Role Prompting: Assigning Roles for Smarter Interaction

  9. Self Consistency Prompting: Keeping Promises

  10. Retrieval Augmented Generation: Perfect Combination of Search and Generation


Chapter 3: Everyday Prompt Engineering​

  1. How to Format Unstructured Responses

  2. Organizing Data into Excel-Compatible CSV

  3. Strategies for Planning with AI

  4. Drafting Blog Posts

  5. Classifying Data Based on Criteria

  6. Using Retrieval Augmented Generation for Data Extraction

  7. Summarizing Long Texts

  8. Generating Data in Desired Formats

  9. Analyzing Complex Data and Deriving Insights

  10. Creating and Solving Logical Reasoning Challenges




2. Applying Prompt Engineering to Work​

Discusses how to apply prompt engineering to real work scenarios.


Chapter 1: Writing Prompts to Enhance Work Productivity​

  1. How to Utilize AI in Work?

  2. Analyzing Contracts Filled with Complex Terms

  3. Prompt Strategies for Effortless Report Writing

  4. Visualizing Complex Information

  5. Concluding Insights: Analyzing Graphs and Chart Images

  6. Article Summarization Tips for Busy Professionals

  7. AI-Powered Email Writing and Proofreading

  8. Methods for Perfectly Proofreading and Improving English Sentences

  9. Idea Brainstorming to Reduce Creative Blocks

  10. Crafting Attractive Job Postings with AI

  11. Generating Interview Questions by Role


Chapter 2: Image Generation Prompt Engineering​

  1. How is Image Generation AI Created?

  2. Prominent Image Generation AIs

  3. Cost-Efficient Image Prompt Writing

  4. Reducing Trial and Error: Structure of Image Prompts

  5. Writing Object & Adjective Prompts

  6. Describing Background, Lighting, and Quality in Detail

  7. Expressing Image Styles

  8. Specifying Aspect Ratio

  9. Assigning Roles and Generating Images

  10. Review of Image Generation Prompts


Chapter 3: Reference Materials for Advanced Learning​

  1. Seven ChatGPT Chrome Extensions for Boosting Productivity

  2. Prompt Functions for Maximizing Reusability

  3. Comprehensive Overview of Prompt Engineering

  4. Final Thoughts


Introduction to Prompt Engineering hopes to be a great aid in your work and research endeavors.