Description

Introduction

The learning and development (L&D) landscape is rapidly evolving with the integration of generative AI. “From Instructional Design to AI Design: Prompting for L&D Success” bridges traditional instructional design practices with prompt engineering techniques, enabling L&D professionals to design smarter, faster, and more adaptive learning experiences using AI tools.

Prerequisites

• Foundational knowledge of instructional design models (e.g., ADDIE, SAM)

• Familiarity with digital learning platforms or LMS tools

• Basic understanding of generative AI tools like ChatGPT, Claude, or Gemini

• No programming experience required

Table of Contents

1. Evolution of Instructional Design in the Age of AI
1.1 From Static Courses to Dynamic Learning Journeys
1.2 Role of AI in Modern L&D Ecosystems
1.3 Key Opportunities for Designers with Prompt Engineering

2. Foundations of Prompt Engineering for Learning Designers
2.1 What Makes a Good Prompt?
2.2 Crafting Instructional Prompts for Clarity and Accuracy
2.3 Prompt Structures: Templates, Tones, and Contextual Inputs

3. Transforming Learning Needs into Prompt Strategies
3.1 Using Prompts to Perform Needs Analysis and Audience Profiling
3.2 Designing Learning Objectives via AI Collaboration
3.3 Prompting for Learning Path Suggestions and Curriculum Design

4. AI-Driven Content Development Workflows
4.1 Prompting to Generate Course Outlines and Module Structures
4.2 Creating Lesson Scripts, Narratives, and Explanatory Texts
4.3 Prompting for Interactive Scenarios and Storytelling

5. Developing Assessments and Feedback Loops
5.1 Generating Formative and Summative Assessments
5.2 Creating AI-Based Feedback for Learners
5.3 Prompting for Adaptive Assessment Logic

6. Designing Personalized and Inclusive Learning Experiences
6.1 Using Prompts to Tailor Content for Different Roles or Skill Levels
6.2 Prompting for Accessibility and Inclusive Language
6.3 Building Learning Variants for Diverse Learning Styles

7. Collaborative AI Design for L&D Teams
7.1 Aligning Instructional Designers and AI Outputs
7.2 Prompt Libraries for Team Collaboration
7.3 Integrating Prompt Workflows into Authoring Tools

8. Quality Assurance and Ethical Considerations
8.1 Validating AI Outputs and Ensuring Pedagogical Soundness
8.2 Addressing Bias, Copyright, and Data Privacy in Prompts
8.3 Human-in-the-Loop Design Strategies

Instructional designers are uniquely positioned to lead the integration of AI in L&D. By learning prompt engineering, you can scale creativity, improve learner engagement, and accelerate content development. This course empowers you to evolve from content creator to AI-enabled learning architect, driving L&D success in the age of intelligent design.