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Module 1: Introduction to Prompt Engineering

1.1 What is Prompt Engineering?Definition and purpose.
Use cases across different fields: content creation, customer support, research, training, and data analysis.
1.2 Understanding Language ModelsOverview of ChatGPT: capabilities, limitations, and behavior.
Importance of effective prompting in maximizing response relevance and quality.
1.3 Key Components of a PromptClarity, specificity, context, and intent.

Module 2: Basic Prompt Crafting Techniques

2.1 The Art of Simplicity and ClarityHow simple prompts yield quick, precise answers.
Crafting straightforward prompts for specific questions.
2.2 Structuring Open-ended and Closed-ended PromptsWhen to use open vs. closed-ended prompts based on desired outcome.
Examples and best practices.
2.3 Testing and Adjusting for PrecisionTechniques for iterating prompts to increase relevance.
Exercises: Convert vague prompts into precise ones and analyze the differences in responses.

Module 3: Adding Context and Constraints

3.1 Using Background Context EffectivelySetting the scene for responses with relevant background information.
Tips on balancing necessary context with brevity.
3.2 Specifying Constraints for Better ResponsesDirecting response format: summaries, lists, and structured text.
Controlling response length and complexity.
3.3 Guiding Tone and StyleCrafting prompts to match tone and style (e.g., formal, conversational).
Exercises: Experiment with the same prompt in different tones and formats; add or remove context to observe changes in responses.

Module 4: Iterative Prompting and Refinement Techniques

4.1 Recognizing the Need for RefinementIdentifying prompts that need improvement due to vague or incomplete responses.
4.2 Techniques for Iterative Prompt ImprovementLayering information with follow-up questions.
Rephrasing and restructuring for clarity.
4.3 Multi-Step Prompting for Complex ResponsesDesigning sequential prompts for detailed answers.
Exercises: Start with a basic prompt and iterate it to achieve a fully detailed, context-rich answer.

Module 5: Advanced Prompt Engineering Techniques

5.1 Chaining Prompts for Step-by-Step ResponsesCreating multi-step prompts for comprehensive tasks.
Examples: research and summarization, ideation, project planning.
5.2 Personas and Role-PlayUsing personas to guide response styles and approaches (e.g., “Explain as if you are a professor”).
5.3 Problem Solving with Conditional PromptsCrafting prompts with hypothetical scenarios to explore various solutions.
Exercises: Create chained prompts to simulate multi-step processes; use personas to produce different perspectives on the same topic.

Module 6: Troubleshooting Common Prompting Issues

6.1 Diagnosing Issues with ResponsesAddressing common issues like incomplete, vague, or off-topic responses.
6.2 Solving Specific Prompting ProblemsMaking prompts less biased, ensuring depth, and requesting clarifications.
6.3 Overcoming Limitations and ConstraintsTechniques to work within model limitations.
Exercises: Practice identifying and correcting prompting errors by analyzing sample interactions.

Module 7: Specialized Prompt Engineering Applications

7.1 Creative Writing and Storytelling PromptsCreating prompts for narrative generation, dialogue, and plot ideation.
7.2 Technical and Research-Oriented PromptingDeveloping prompts for summarization, data insights, and technical explanations.
7.3 Educational and Instructional PromptsPrompt design for teaching, coaching, and instructional design.
Exercises: Tailor prompts to specific industries or applications, like creating lesson plans, writing product descriptions, or analyzing survey data.

Module 8: Ethics, Bias, and Best Practices in Prompt Engineering

8.1 Ethical Considerations in PromptingAvoiding prompts that lead to biased or harmful responses.
Guidelines for responsible and ethical use.
8.2 Managing Sensitivity and ConfidentialityCrafting prompts with respect for privacy and sensitivity.
8.3 Best Practices in Prompt EngineeringKey tips and habits for professional prompt crafting.
Exercises: Review prompts and discuss ethical concerns, analyzing potential risks and adjusting to align with best practices.

Module 9: Capstone Project: Real-World Prompt Engineering Challenge

Objective: Apply learned techniques in a final project.
Content: Develop a series of prompts tailored to a real-world scenario, such as building a customer service chatbot, creating educational modules, or automating content generation.
Assessment: Present prompts, outline iterations, demonstrate the evolution of responses, and provide a rationale for design choices.

Assessments and Final Review

Quizzes: Periodic quizzes to reinforce learning after each module.
Final Project Presentation: Showcase of prompt engineering skills applied in a complex, real-world scenario.
Feedback and Review: Peer and instructor feedback on prompt strategy and improvements.

Additional Resources

Prompt Engineering Playbook: Collection of sample prompts for various use cases.
Workbook for Exercises: Structured exercises to practice and refine prompt skills.
Access to Prompt Libraries and Case Studies: Real-world examples and case studies to explore prompt engineering in action.

This comprehensive course ensures learners leave with a solid understanding of prompt engineering, ready to apply their skills in diverse and practical applications.

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