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AI Training

Prompt Engineering: Techniques and Best Practices 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 two-day, instructor-led Generative AI Prompt Engineering course in Washington, DC Metro, Tysons Corner, VA, Columbia, MD or Live Online, participants will study how to design and refine prompts for natural language processing (NLP) models. Students will learn to select the right inputs, questions, and context to ensure the model generates accurate and relevant outputs. This course also focuses on prompt engineering for generative NLP models such as GPT (Generative Pre-trained Transformer).

After taking this course, students will be able to:

  • Understand the importance of prompt engineering in NLP models
  • Learn the different types of prompts and their use cases
  • Develop skills to design and refine prompts for NLP models

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 for anyone writing or composing copy or wanting to produce more effective written work, including emails. There are no specific prerequisites for this course.

Course Outline

Introduction to AI Language Models and Prompt Engineering

  • Overview of AI language models
  • Introduction to Prompt Engineering
  • Importance of Prompt Engineering in AI applications

Understanding the Prompt

  • Types of prompts
  • Components of a prompt
  • Factors affecting prompt effectiveness

Techniques for Crafting Effective Prompts

  • Designing prompts for clarity
  • Leveraging context and examples
  • Balancing brevity and detail

Restricting ChatGPT’s Answers to Your Own Document Corpus

  • Setting up a custom document corpus
  • Techniques for guiding AI model focus
  • LLM focus and attention, and GPT3 vs GPT4 differences
  • Ensuring relevant and accurate outputs

Generating Synthetic Data and Images

  • Crafting prompts for CSV data generation
  • Formatting AI outputs for data visualization
  • Prompt engineering for SVG image generation
  • GPT4 SVG images vs DALL-E image generation

Language Translation and Slide Creation

  • Designing prompts for language translation
  • Ensuring translation accuracy and fluency
  • Generating slides using markdown and Prompt Engineering

Prompt Engineering for Various Applications

  • Creative writing and content generation
  • Question-answering and information retrieval
  • Data processing and transformation

Iterative Prompt Refinement

  • Analyzing AI model outputs
  • Techniques for prompt iteration and improvement
  • Incorporating user feedback into prompt design

Group Project: Applying Prompt Engineering to Real-world Scenarios

  • Identify a problem that can be solved using AI language models
  • Design and refine prompts to achieve desired outcomes
  • Present project outcomes and Prompt Engineering process

Ethics and Best Practices in Prompt Engineering

  • Ethical considerations for AI language model usage
  • Ensuring data privacy and security
  • Best practices for Prompt Engineering in professional settings

 

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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