Get in Touch
 Duration 7 hours

Course Outline

Introduction to Prompt Engineering

  • Defining prompt engineering and its significance
  • Exploring typical use cases and their impact on productivity
  • Understanding common model behaviors

Core Principles of Effective Prompts

  • Emphasizing clarity, context, constraints, and examples
  • Managing output length, format, and style
  • Identifying common pitfalls and strategies to avoid them

Prompt Patterns and Templates

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

Hands-on Prompting Exercises

  • Creating prompts for summarization and rewriting tasks
  • Designing prompts for classification and data extraction
  • Live iteration: refining prompts based on observed outputs

Evaluating and Improving Prompts

  • Applying metrics and heuristics to assess prompt quality
  • Validating prompts using tests and edge cases
  • Versioning and documenting prompt modifications

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

  • Providing quick reference templates and cheat sheets
  • Recommending reading materials and community resources
  • Suggesting paths for continued practice and learning

Requirements

  • Experience with web-based AI chat interfaces
  • A fundamental grasp of natural language concepts
  • An appreciation for iterative problem-solving

Intended Audience

  • Beginners seeking to learn how to interact effectively with AI models
  • Product managers, content creators, and analysts exploring AI tools
  • Professionals responsible for creating or assessing AI-generated content

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories