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 Duration 7 hours

Course Outline

Overview of Prompt Engineering

  • Definition of prompt engineering and its importance
  • Common use cases and productivity impacts
  • Summary of typical model behaviors

Key Principles of Effective Prompts

  • Elements of 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 prompts and role assignments
  • Chain-of-thought and step-by-step prompting techniques
  • Few-shot examples and template utilization

Practical Prompting Exercises

  • Creating prompts for summarization and text rewriting
  • Developing prompts for classification and data extraction
  • Real-time iteration: adjusting prompts based on results

Assessing and Refining Prompts

  • Metrics and heuristics for evaluating prompt quality
  • Validating prompts through tests and edge cases
  • Version control and documentation of prompt modifications

Safety, Bias & Ethical Usage

  • Identifying and mitigating biased or unsafe outputs
  • Implementing basic guardrails and content restrictions
  • Determining when human oversight is required

Conclusion, Resources & Future Directions

  • Accessible reference templates and cheat sheets
  • Suggested reading materials and community resources
  • Recommendations for ongoing practice and learning pathways

Requirements

  • Experience with web-based AI chat interfaces
  • Fundamental grasp of natural language concepts
  • Adaptability to iterative problem-solving approaches

Target Audience

  • Novices aiming to develop effective communication strategies with AI models
  • Product managers, content creators, and analysts exploring AI tools
  • Professionals responsible for generating or assessing AI-created content

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