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Course Outline

Introduction to Prompt Engineering

  • Defining prompt engineering and its importance
  • Typical use cases and their impact on productivity
  • An overview of standard model behaviors

Fundamental Principles of Effective Prompts

  • Emphasizing clarity, context, constraints, and examples
  • Managing output length, format, and style
  • Identifying common pitfalls and strategies to avoid them

Prompt Patterns and Templates

  • Instruction-based and role-based prompting techniques
  • Chain-of-thought and step-by-step prompting methods
  • Using few-shot examples and reusing templates

Practical Prompting Exercises

  • Developing prompts for summarization and rewriting tasks
  • Creating prompts for classification and data extraction
  • Live iteration: refining prompts based on generated outputs

Assessing and Enhancing Prompts

  • Metrics and heuristics for evaluating prompt quality
  • Using tests and edge cases to validate prompt effectiveness
  • Versioning and documenting changes to prompts

Safety, Bias & Responsible Usage

  • Identifying and mitigating biased or unsafe outputs
  • Establishing basic guardrails and content constraints
  • Determining when human review is necessary

Conclusion, Resources & Next Steps

  • Quick reference templates and cheat sheets
  • Recommended reading material and community resources
  • Suggestions for ongoing practice and learning pathways

Requirements

  • Experience with web-based AI chat interfaces
  • A basic grasp of natural language principles
  • Confidence in iterative problem-solving approaches

Target Audience

  • Beginners seeking to learn how to interact effectively with AI models
  • Product managers, content creators, and analysts exploring AI toolsets
  • Individuals responsible for generating or assessing AI-produced content
 7 Hours

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