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 Duration 7 hours

Course Outline

Introduction to Prompt Engineering

  • Defining prompt engineering and explaining its importance
  • Common use cases and their effect on productivity
  • Overview of typical model behaviors

Fundamental Principles of Effective Prompts

  • Clarity, context, constraints, and illustrative examples
  • Managing output length, format, and tone
  • Common pitfalls and strategies to avoid them

Prompt Patterns and Templates

  • Instruction-based prompts and role-based prompts
  • Chain-of-thought reasoning and step-by-step prompting
  • Few-shot examples and template reusability

Practical Prompting Exercises

  • Developing prompts for summarization and rewriting tasks
  • Designing prompts for classification and data extraction
  • Live iteration: refining prompts based on results

Assessing and Enhancing Prompts

  • Metrics and heuristics for evaluating prompt quality
  • Utilizing tests and edge cases for prompt validation
  • Version control and documentation of prompt modifications

Safety, Bias, and Responsible Usage

  • Identifying and mitigating biased or unsafe outputs
  • Basic guardrails and content restrictions
  • Determining when human review is necessary

Conclusion, Resources, and Future Steps

  • Concise reference templates and cheat sheets
  • Recommended readings and community resources
  • Suggestions for ongoing practice and learning trajectories

Requirements

  • Familiarity with web-based AI chat interfaces
  • Fundamental comprehension of natural language principles
  • Comfort with iterative problem-solving approaches

Target Audience

  • Novices aiming to learn effective communication techniques with AI models
  • Product managers, content creators, and analysts exploring AI tooling
  • Individuals tasked with generating or assessing AI-produced content

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