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Prompt Engineering: Intelligent Textbook

Welcome to the Prompt Engineering Intelligent Textbook. This course provides a comprehensive journey through the art and science of communicating effectively with large language models. From foundational AI concepts through advanced agentic systems and real-world applications, each chapter builds on the previous ones to develop your prompt engineering expertise.

Chapters

  1. AI and Machine Learning Foundations - Understand the core AI and machine learning concepts that underpin modern language models.
  2. Prompt Fundamentals - Learn the essential principles of writing clear, effective prompts.
  3. Prompt Types and Model Parameters - Explore different prompt categories and the model settings that influence output.
  4. Core Prompt Techniques - Master foundational techniques like zero-shot, few-shot, and chain-of-thought prompting.
  5. Advanced Prompt Techniques - Apply sophisticated strategies including role assignment, persona prompting, and meta-prompting.
  6. Output Format Control - Direct AI models to produce output in specific formats such as JSON, Markdown, tables, and more.
  7. Context, Memory, and Information Management - Manage context windows, conversation history, and information extraction effectively.
  8. Retrieval-Augmented Generation - Combine language models with external knowledge sources for grounded, accurate responses.
  9. Multimodal Prompting - Work with images, documents, audio, and video alongside text-based prompts.
  10. Ethics and Responsible AI - Navigate the ethical considerations of AI use including bias, fairness, and intellectual property.
  11. Prompt Security - Defend against prompt injection, jailbreaking, and other adversarial attacks.
  12. Agentic AI - Build and orchestrate AI agents that use tools, plan actions, and execute multi-step workflows.
  13. Evaluation and Optimization - Measure, test, and improve prompt and agent performance systematically.
  14. Usage Limits and Token Economics - Understand token costs, rate limits, and strategies for cost-effective AI usage.
  15. Business Applications - Apply prompt engineering to real-world business tasks from customer service to strategic analysis.
  16. Educational Applications - Leverage AI for teaching, tutoring, assessment, and curriculum development.
  17. Capstone Projects - Synthesize all skills into comprehensive, real-world prompt engineering projects.