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 Duration 7 hours

Course Outline

Introduction to Prompt Engineering

  • Defining prompt engineering and its importance
  • Common applications and productivity benefits
  • Understanding standard model behaviors

Core Principles of Effective Prompts

  • Incorporating clarity, context, constraints, and examples
  • Managing output length, format, and tone
  • Identifying and avoiding frequent errors

Prompt Patterns and Templates

  • Utilizing instruction-based and role-based prompts
  • Applying chain-of-thought and sequential prompting
  • Using few-shot examples and reusing templates

Hands-on Prompting Exercises

  • Creating prompts for text summarization and revision
  • Building prompts for data classification and extraction
  • Real-time refinement of prompts based on results

Evaluating and Improving Prompts

  • Assessing prompt quality using metrics and heuristics
  • Validating prompts through testing and edge cases
  • Managing versions and documenting prompt updates

Safety, Bias & Responsible Use

  • Detecting and addressing biased or unsafe content
  • Implementing basic guardrails and content restrictions
  • Determining when human oversight is required

Wrap-up, Resources & Next Steps

  • Access to quick-reference templates and cheat sheets
  • Curated reading lists and community resources
  • Guidance on continuing practice and learning trajectories

Requirements

  • Familiarity with web-based AI chat interfaces
  • Basic understanding of natural language concepts
  • Comfort with iterative problem-solving

Target Audience

  • Beginners aiming to master effective communication with AI models
  • Product managers, content creators, and analysts exploring AI tools
  • Individuals responsible for creating or evaluating AI-generated content

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