Prompt Engineering for AI Text Generation

Prompt Engineering for AI Text Generation Courseware (095034SE)

AI

Artificial intelligence (AI) tools can be used in a business setting to generate text that is unique, thorough, and highly effective at communication. In response to your written prompt describing what you require, these tools can quickly summarize information, generate ideas, solve problems, participate in conversations, and engage in a wide range of other purposes, enabling you to save time and money designing and developing text-based content. In order to achieve these goals, you must learn how to tell AI tools what you want in the right ways through prompt engineering.

Publisher: Logical Operations

Benefits

In this course, you will generate text effectively using AI tools. You will:

  • Select and use a generative AI tool to create text from prompts.
  • Use prompt-engineering techniques to optimize text generation for your specific needs.
  • Implement text generation in a business setting.

Teaching This Course

The publisher has provided details here on how to teach this Prompt Engineering for AI Text Generation course.

Outline

  • Lesson 1: Using AI to Generate Text
    • Topic A: Generate Text
      • Generative Artificial Intelligence
      • Machine Learning
      • The Power of Generative AI
      • Key Generative AI Organizations
      • Generative AI Modalities
      • Large Language Models (LLMs)
      • Prompting
      • Prompting Approaches
      • Text Completion
      • Instruction Following
      • Summarization
      • Inference
      • Evaluation
      • Translation
      • Troubleshooting
      • Sentiment Analysis
      • Content Generation
      • Chatbots
      • Image Interrogation
      • Speech to Text
      • Myths and Misconceptions About Generative AI
      • Generating Text from a Prompt
    • Topic B: Select an Appropriate AI Text-Generation Tool
      • Text-Generation Tools
      • Assistive AI Tools for Text Generation
      • Free vs. Paid Tools
      • Cost Justification
      • Terms of Use and Content Policies
      • Guidelines for Selecting an AI Text-Generation Tool
      • Selecting an AI Text-Generation Tool
  • Lesson 2: Getting the Text You Want
    • Topic A: Use Foundational Prompt-Engineering Techniques
      • Prompt Engineering
      • Problem Formulation
      • Descriptive Prompts
      • Prompt Clarity
      • Examples in Prompts
      • Answer Explanation
      • Question Generation
      • Personas and Roles
      • Prompt Reuse
      • Prompt Iteration
      • Knowledge of Model Restrictions
      • When You Don't Get the Results You Want
      • Guidelines for Using Foundational Prompt-Engineering Techniques
      • Generating Text Using Foundational Prompt-Engineering Techniques
    • Topic B: Use Advanced Prompt-Engineering Techniques
      • Delimiters
      • In-Context Prompting
      • In-Context Prompting: Sentiment-Analysis Example
      • Condition Validation
      • Chain-of-Thought Prompting
      • Chain-of-Thought Prompting: One-Shot Example
      • Chain-of-Thought Prompting: Zero-Shot Example
      • Self-Consistency
      • Self-Refinement
      • Generated-Knowledge Prompting
      • Directional-Stimulus Prompting
      • Guidelines for Using Advanced Prompt-Engineering Techniques
      • Generating Text Using Advanced Prompt-Engineering Techniques
  • Lesson 3: Implementing Text Generation in a Business Setting
    • Topic A: Solve Business Problems Using AI-Generated Text
      • Ways to Use AI-Generated Text to Solve Business Problems
      • Marketing Campaigns
      • Customer and Helpdesk Services
      • Online Ordering Systems
      • Product Descriptions
      • Note Taking
      • Dialogue and Storytelling
      • Solving Business Problems Using AI-Generated Text
    • Topic B: Address Ethical Concerns
      • Ethics in AI
      • The Dos and Don'ts of Text Generation
      • Text Ownership and Attribution
      • Be Transparent About AI-Generated Content
      • Confabulation/Hallucination
      • Tactics for Mitigating Confabulation
      • Misinformation and Misleading Content
      • Coalition for Content Provenance and Authenticity (C2PA)
      • Guidelines for Addressing Ethical Concerns in Text Generation
      • Addressing Ethical Concerns in Text Generation

Required Prerequisites

To ensure your success in this course, you should have at least a basic understanding of computers and other electronic devices used in the business. You should be comfortable using an operating system such as Microsoft® Windows, as well as experience with web browsers and Internet search engines.

License

Length: 4 hours | $15.98 per copy

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What is Included?
  • Student Manual
  • Student Class Files
  • Extra Trainer Files
  • PowerPoint Presentation