Description

Introduction

Generative AI is revolutionizing the way training content is created—making it faster, more scalable, and tailored to specific learner needs. “AI in Training: Prompting for Custom Content Generation” empowers L&D professionals, instructional designers, and corporate trainers to use prompt engineering effectively for designing highly customized training materials using AI tools.

Prerequisites

• Basic knowledge of instructional design or corporate training

• Familiarity with tools like ChatGPT, Claude, or Gemini

• No programming or AI development skills required

• Optional: experience using LMS or e-learning authoring tools

Table of Contents

1. Overview of AI in Training Content Development
1.1 The Rise of Generative AI in L&D
1.2 Key Benefits: Speed, Personalization, and Scalability
1.3 Understanding Prompt Engineering as a Skill

2. Fundamentals of Prompt Engineering for Content Creation
2.1 Prompt Types: Instructional, Contextual, and Conversational
2.2 Structuring Prompts for Clear, Targeted Outputs
2.3 Role of Temperature, Tone, and Context in Results

3. Creating Custom Learning Modules with Prompts
3.1 Prompting for Topic Overviews and Learning Objectives
3.2 Generating Lesson Plans and Module Breakdowns
3.3 Developing Scenarios and Real-World Examples

4. Designing Multimedia and Microlearning Assets
4.1 Generating Video Scripts, Slide Texts, and Infographics
4.2 Crafting AI Prompts for Bite-Sized Learning
4.3 Converting Long-form Training into Short, Interactive Formats

5. Customizing Content for Diverse Learner Profiles
5.1 Personalizing Language, Tone, and Difficulty with Prompts
5.2 Adapting Materials for Role-Based or Regional Learning
5.3 Inclusivity and Accessibility in AI-Generated Content

6. Creating Assessments and Interactive Exercises
6.1 Prompting for Quizzes, Case Studies, and Knowledge Checks
6.2 Generating Role-Plays, Branching Scenarios, and Reflections
6.3 Providing Instant Feedback and Rationales via AI

7. Rapid Content Updates and Localization with Prompts
7.1 Updating Courses Based on Policy or Product Changes
7.2 Localizing Content with Language and Cultural Adaptation Prompts
7.3 Version Control and Prompt Reusability

8. Best Practices and Quality Assurance
8.1 Reviewing AI Outputs for Accuracy and Clarity
8.2 Avoiding Plagiarism and Ensuring Originality
8.3 Human Oversight in AI-Generated Content Pipelines

Prompt engineering enables L&D teams to create engaging, high-quality training content at scale. With the right prompts, generative AI becomes a powerful co-creator—speeding up development, tailoring experiences, and freeing time for strategic design. This course equips you with the skills to confidently integrate AI into your training content workflows.