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 Duration 7 hours

Course Outline

Fundamentals of Prompt Engineering

  • Defining prompt engineering and its importance
  • Key use cases and their effect on productivity
  • Understanding typical model behaviors

Key Principles for Effective Prompts

  • Importance of clarity, context, constraints, and examples
  • Managing output length, formatting, and tone
  • Identifying common errors and strategies to prevent them

Standard Prompt Patterns and Templates

  • Creating instruction-based and role-based prompts
  • Utilizing chain-of-thought and step-by-step techniques
  • Implementing few-shot examples and reusing templates

Practical Prompting Exercises

  • Developing prompts for summarizing and rewriting text
  • Formulating prompts for classification and data extraction
  • Real-time refinement: adjusting prompts based on generated outputs

Assessing and Enhancing Prompts

  • Metrics and heuristics for evaluating prompt effectiveness
  • Validating prompts using tests and edge cases
  • Managing version control and documenting prompt modifications

Safety, Bias, and Ethical Usage

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

Conclusion, Resources, and Future Steps

  • Accessing quick-reference templates and cheat sheets
  • Exploring recommended reading and community resources
  • Pathways for continued practice and advanced learning

Requirements

  • Proficiency with web-based AI chat platforms
  • A foundational grasp of natural language principles
  • Aptitude for iterative problem-solving

Target Audience

  • Novices aiming to develop effective communication strategies with AI models
  • Product managers, content creators, and analysts exploring AI capabilities
  • Professionals accountable for generating or assessing AI-generated materials

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