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Prompt Engineering for Developers: Mastering the Art of Conversational AI

This intensive 2-day course will equip software developers with the knowledge and skills to design and develop effective conversational AI applications using prompt engineering techniques....

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$2,000 USD
Course Code PED-MACAI
Duration 2 days
Available Formats Classroom

This intensive 2-day course will equip software developers with the knowledge and skills to design and develop effective conversational AI applications using prompt engineering techniques. Participants will learn how to create custom prompts that maximize the potential of AI language models, resulting in more accurate and engaging conversational experiences. The course will cover various techniques for designing, refining, and testing prompts and best practices for mitigating biases and ensuring ethical considerations. Through a series of hands-on exercises and real-world examples, participants will gain practical experience in prompt engineering and leave the course with a strong foundation in developing advanced conversational AI applications.

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

Who Can Benefit

Software developers, AI enthusiasts, and professionals working in natural language processing (NLP) or chatbot development


  • 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

Course Details

Throughout the course, participants will engage in hands-on exercises and group discussions to reinforce learning and encourage knowledge sharing among peers. The capstone project at the end of the course will allow participants to showcase their newly acquired prompt engineering skills by developing a custom conversational AI application.

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