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 Duration 7 hours

Course Outline

Introduction to Prompt Engineering

  • Understanding prompt engineering and its importance
  • Common use cases and their impact on productivity
  • An overview of typical model behaviours

Core Principles of Effective Prompts

  • Clarity, context, constraints, and the use of examples
  • Managing output length, format, and style
  • Identifying common pitfalls and strategies to avoid them

Prompt Patterns and Templates

  • Instruction-based prompts and role-playing prompts
  • Chain-of-thought and step-by-step prompting techniques
  • Few-shot examples and the reuse of templates

Hands-on Prompting Exercises

  • Developing prompts for summarisation and rewriting
  • Creating prompts for classification and data extraction
  • Live iteration: refining prompts based on generated outputs

Evaluating and Improving Prompts

  • Metrics and heuristics for assessing prompt quality
  • Using tests and edge cases to validate prompt effectiveness
  • Versioning and documenting prompt modifications

Safety, Bias & Responsible Use

  • Recognising and mitigating biased or unsafe outputs
  • Implementing basic guardrails and content constraints
  • Determining when human review is necessary

Wrap-up, Resources & Next Steps

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

Requirements

  • Experience using web-based AI chat interfaces
  • A foundational grasp of natural language concepts
  • An ease with iterative problem-solving approaches

Target Audience

  • Beginners seeking to improve their communication with AI models
  • Product managers, content creators, and analysts investigating AI tools
  • Individuals responsible for generating or assessing AI-generated content

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Provisional Upcoming Courses (Require 5+ participants)

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