BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Course Overview
In this two-day, instructor-led Generative AI Prompt Engineering course in Washington, DC Metro, Tysons Corner, VA, Columbia, MD or Live Online, software developers will learn how to design and develop effective conversational AI applications using sound prompt engineering techniques. Through a series of hands-on exercises and real-world examples, participants will gain practical experience in prompt engineering and leave the course able to build advanced conversational AI applications. Learers will study ways to create targeted custom prompts, resulting in more accurate and engaging conversational experiences. They will also learn techniques for designing, refining, and testing prompts, and how to mitigate biases and avoid unethical behavior using AI. Upon completion of this course, students will:
- 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
Schedule
Currently, there are no public classes scheduled. Please contact a Phoenix TS Training Consultant to discuss hosting a private class at 301-258-8200.
Program Level
Basic
Prerequisites
This course is intended for software developers, AI enthusiasts, and professionals working in natural language processing (NLP) or chatbot development. Participants should have:
- 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 Outline
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
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
- Applying 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
BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Phoenix TS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints re-garding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org
