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Course Outline

Introduction to Prompt Engineering

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

Core Principles of Effective Prompts

  • The role of clarity, context, constraints, and examples
  • Managing output length, format, and tone
  • Common pitfalls and strategies to avoid them

Prompt Patterns and Templates

  • Instruction-driven prompts and role-playing prompts
  • Chain-of-thought and step-by-step prompting techniques
  • Using few-shot examples and reusing templates

Hands-on Prompting Exercises

  • Creating 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
  • Validating prompts through testing and edge cases
  • Version control and documenting prompt modifications

Safety, Bias & Responsible Use

  • Identifying and mitigating biased or unsafe outputs
  • Implementing basic guardrails and content limits
  • Guidelines for when to involve human oversight

Wrap-up, Resources & Next Steps

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

Requirements

  • Experience using web-based AI chat platforms
  • Foundational knowledge of natural language principles
  • Proficiency in iterative problem-solving methods

Target Audience

  • Beginners aiming to communicate more effectively with AI models
  • Product managers, content creators, and data analysts exploring AI capabilities
  • Professionals tasked with generating or assessing AI-produced content
 7 Hours

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