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Course Outline

Introduction to Prompt Engineering

  • Defining prompt engineering and its significance
  • Common applications and their impact on productivity
  • Overview of typical model behaviors

Core Principles of Effective Prompts

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

Prompt Patterns and Templates

  • Instruction-based prompts and role-specific prompts
  • Chain-of-thought and step-by-step prompting techniques
  • Few-shot examples and template reuse

Hands-on Prompting Exercises

  • Crafting prompts for summarization and text rewriting
  • Designing prompts for classification and data extraction
  • Live iteration: refining prompts based on model outputs

Evaluating and Improving Prompts

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

Safety, Bias & Responsible Use

  • Recognizing and mitigating biased or unsafe outputs
  • Basic guardrails and content constraints
  • When to involve human review

Wrap-up, Resources & Next Steps

  • Quick reference templates and cheat sheets
  • Recommended reading and community resources
  • Suggestions for continued practice and learning paths

Requirements

  • Prior experience with web-based AI chat platforms
  • Fundamental knowledge of natural language principles
  • Comfort with iterative problem-solving approaches

Target Audience

  • Beginners seeking to improve their communication with AI models
  • Product managers, content creators, and data analysts exploring AI solutions
  • Professionals responsible for generating or assessing AI-produced content
 7 Hours

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