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ChatGPT Basics Training

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 one-day, instructor-led ChatGPT course in Washington, DC Metro, Tysons Corner, VA, Columbia, MD or Live Online, students will study the fundamentals of prompt engineering for large language models (LLMs). Attendees will learn how to craft effective prompts to guide LLMs in generating the desired output. They will also learn how to use different prompting techniques, including zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval-augmented generation.

After taking this course, students will be able to:

  • Understand the basics of prompt engineering and its importance for LLMs
  • Identify the factors that affect prompt effectiveness
  • Differentiate between multiple ways of structuring prompts.
  • Use advanced prompting techniques, such as zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval augmented generation
  • Apply prompt engineering to real-world scenarios in a group project
  • Describe the security risks and ethical considerations associated with prompt engineering

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 ChatGPT course is ideal for anyone who wants to learn how to use prompt engineering to get the most out of LLMs. It is especially relevant for researchers, developers, and other professionals who use LLMs for tasks such as content generation, machine translation, and code generation. There are no specific prerequisites for this course.

Course Outline

Understanding the Prompt

  • The Basics
  • Pitfalls
  • Highlighted Techniques
  • Understanding the Limitation

Introduction to Large Language Models

  • Historical Context
  • How did LLM’s (Large Language Models) Evolve
  • Trends in LLM’s
  • Today’s Cloud and Offline LLM’s
  • How LLM’s Work
  • LLM Use Cases
  • The Importance of Prompt Engineering

Techniques for Crafting Effective Prompts

  • Factors affecting prompt effectiveness
  • Ways of structuring prompts
  • Prompting with examples

Advanced Prompting Techniques

  • Zero-Shot Prompting
  • Few-Shot Prompting
  • Chain-of-Thought Prompting
  • Combining Multiple Techniques
  • Self Consistency Prompting
  • Generated Knowledge Prompting
  • Tree of Thought Prompting
  • Automated Prompt Engineering
  • Retrieval Augmented Generation

Group Project: Applying Prompt Engineering to Real-world Scenarios

  • Real World Scenarios
  • Group Project

Ethics and Best Practices in Prompt Engineering

  • Security Risks with LLM’s
  • Obscuring Data for Privacy and Security
  • LLM Best Practices for Enterprise
  • Best Practices, Limitations, other Considerations

Conclusion

 

 

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

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