Get in Touch

Course Outline

Introduction to Prompt Engineering

  • Understanding what prompt engineering is and its significance
  • Common use cases and its impact on productivity
  • Overview of typical model behaviours

Core Principles of Effective Prompts

  • Elements of clarity, context, constraints, and examples
  • Controlling output length, format, and style
  • Common pitfalls and strategies to avoid them

Prompt Patterns and Templates

  • Instruction-based prompts and role-specific prompts
  • Chain-of-thought and step-by-step prompting techniques
  • Few-shot examples and template reuse strategies

Hands-on Prompting Exercises

  • Crafting prompts for summarisation and rewriting tasks
  • Designing prompts for classification and data extraction
  • Live iteration: refining prompts based on model outputs

Evaluating and Improving Prompts

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

Safety, Bias & Responsible Use

  • Identifying and mitigating biased or unsafe outputs
  • Establishing 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 learning paths

Requirements

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

Audience

  • Beginners aiming to learn effective communication strategies with AI models
  • Product managers, content creators, and analysts exploring AI tools
  • Professionals responsible for generating or evaluating AI-generated content
 7 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories