Description

Introduction

Learning and Development (L&D) teams are increasingly turning to AI to create engaging, scalable, and personalized learning experiences. “Prompt Engineering for L&D: Designing AI-Enhanced Learning Experiences” equips instructional designers, trainers, and L&D professionals with the skills to use prompt engineering effectively. This course demonstrates how to harness generative AI for content creation, adaptive learning paths, assessments, and learner engagement.

Prerequisites

• Basic understanding of L&D principles and instructional design

• Familiarity with e-learning tools or LMS platforms

• Exposure to generative AI tools like ChatGPT, Claude, or Copilot

• No technical or coding background required

Table of Contents

1. Introduction to Prompt Engineering for L&D
1.1 What Is Prompt Engineering?
1.2 The Role of Generative AI in Learning Design
1.3 Benefits of Prompt-Driven Learning Development

2. Designing Learning Objectives with Prompts
2.1 Generating SMART Learning Outcomes
2.2 Aligning Objectives with Bloom’s Taxonomy
2.3 Customizing Goals by Learner Persona

3. Creating Course Content with AI
3.1 Prompting AI to Develop Modules and Lessons
3.2 Generating Microlearning Assets and Scenarios
3.3 Adapting Content for Different Learning Styles

4. Developing Assessments and Quizzes
4.1 Writing Formative and Summative Questions with Prompts
4.2 Generating Feedback for Correct and Incorrect Responses
4.3 Creating Adaptive Assessments Based on Skill Level

5. Personalized Learning with Prompt Flows
5.1 Using Prompts to Generate Role-Based Learning Paths
5.2 Recommending Content Based on Learner Progress
5.3 Crafting AI-Powered Learning Coaches

6. Enhancing Learner Engagement
6.1 Prompting AI to Simulate Role Plays and Scenarios
6.2 Creating Story-Based and Gamified Learning Content
6.3 Designing Conversational Learning Aids

7. Streamlining L&D Operations with Prompts
7.1 Generating Training Calendars and Communication Plans
7.2 Automating Reports, Summaries, and Content Updates
7.3 Prompting AI for Feedback Analysis and Learning Metrics

8. Building a Prompt Library for Learning Design
8.1 Structuring Prompts by Learning Stage
8.2 Creating Templates for Repeatable Use
8.3 Improving Prompt Effectiveness and Reusability

9. Ethics and Quality Control
9.1 Ensuring Accuracy and Relevance of Generated Content
9.2 Mitigating Bias in Instructional Materials
9.3 Reviewing and Refining AI-Produced Learning Assets

Prompt engineering empowers L&D professionals to accelerate course design, personalize learning at scale, and engage learners like never before. With the right strategies, AI becomes a creative partner in building impactful, learner-centric experiences. This course prepares you to lead the future of learning with confidence and innovation.