Course Catalog  > AI and Machine Learning  > Prompt Engineering
PED-MACAI

Prompt Engineering for Developers: Mastering the Art of Conversational AI Training

This Prompt Engineering course teaches software developers how to design and develop effective conversational AI applications using sound prompt engineering techniques. Participants learn how to create targeted custom prompts, resulting in more accurate and engaging conversational experiences. This AI course also teaches attendees techniques for designing, refining, and testing prompts.

Request Information
Request On-Site or Customized Course Info

Through a series of hands-on exercises and real-world examples, participants gain practical experience in prompt engineering and leave the course able to build advanced conversational AI applications. Students also learn about ethical aI and ensuring best practices for mitigating biases.

Course Details

Duration

2 days

Prerequisites

  • Basic understanding of programming concepts and experience in at least one programming language (preferably Python)
  • Familiarity with natural language processing (NLP) concepts and techniques is recommended but not mandatory

Target Audience

  • Software developers
  • AI enthusiasts
  • Professionals working in natural language processing (NLP) or chatbot development

Skills Gained

  • Understand the principles of prompt engineering and its role in conversational AI applications
  • Develop custom prompts for AI language models to achieve desired conversation outlines
  • Apply techniques for prompt refinement and testing to optimize conversational experiences
  • Recognize and mitigate biases in AI-generated content though prompt design
  • Implement ethical considerations in the development of conversational AI applications
Course Outline
  • Day 1
    • Module 1: Introduction to Conversational AI and Prompt Engineering
      • Overview of conversational AI applications
      • Role of prompt engineering in conversational AI
      • Introduction to AI language models (e.g., GPT-4)
    • Module 2: Designing Effective Prompts
      • Principles of prompt design
      • Techniques for writing custom prompts
      • Hands-on exercise: Creating prompts for various conversation scenarios
    • Module 3: Refining and Testing Prompts
      • Iterative prompt refinement process
      • Techniques for evaluating prompt performance
      • Hands-on exercise: Refining and testing prompts for desired outcomes
  • Day 2
    • Module 4: Addressing Biases and Ethical Considerations
      • Identifying and mitigating biases in AI-generated content
      • Ethical considerations in conversational AI development
      • Hands-on exercise: Analyzing and improving prompt designs for fairness and ethics
    • Module 5: Advanced Prompt Engineering Techniques
      • Incorporating context and external knowledge in prompt design
      • Personalization and customization of prompts
      • Hands-on exercise: Developing advanced prompts for complex conversation scenarios
    • Module 6: Capstone Project
      • Participants will apply the concepts and techniques learned throughout the course to create a custom conversational AI application using advanced prompt engineering
      • Presentation and discussion of capstone projects