Ai Foundations & Acceleration For Learning Designers

A practical, real-world course to help L&D professionals use AI to research faster, design better, and evaluate smarter.

What you'll learn

Assess their current AI readiness as Learning Designers and set personalized goals for AI integration in their work.

Understand core AI concepts and ethical principles relevant to L&D, including how to use AI responsibly in learning design.

Use AI tools to accelerate research, summarize complex documents, and identify gaps between theory and practice in workplace learning.

Rapidly design learning content such as storyboards, case studies, and microlearning modules using AI-powered tools and frameworks.

Support instructors and facilitators by creating AI-enabled guides, prompts, and role-play materials to improve delivery and engagement.

Analyze learning data with AI, including assessments and surveys, and apply predictive modeling techniques to inform L&D decisions.

Create a practical 30-60-90 day action plan to confidently implement AI into their L&D workflows with clarity, purpose, and measurable impact.

Requirements

A basic understanding of Learning and Development (L&D) principles.

Familiarity with creating learning materials such as storyboards, modules, or assessments.

An interest in improving your workflow, creativity, or decision-making using AI tools.

Willingness to try out free AI tools like ChatGPT and other browser-based platforms.

An open mind and a curious spirit—you will learn by doing!

Description

AI is here—and it is changing how we design learning. This course will show you how to use AI in your L&D work in a simple, clear, and practical way. No technical skills needed. Just real strategies you can use right away.This course is made for L&D professionals—whether you are an instructional designer, trainer, manager, or consultant. You will learn how to:Summarize research papers in minutesSpot learning gaps and turn theory into actionCreate storyboards, slides, and microlearning with AIBuild case studies, assessments, and role-play activitiesSupport facilitators with AI-generated guides and promptsAnalyze surveys and build dashboards using AIPlan your own 30-60-90 day AI action strategyYou will also explore how to use AI ethically and responsibly in your work.Each lesson includes real-world examples and easy-to-use resources to help you apply what you learn immediately.This course is hands-on and action-focused—it is not meant for passive watching. Each section gives you practical tools, mini-projects, worksheets, and reflection prompts designed to help you apply the learning directly to your work. Take your time, pause when needed, explore the templates, and complete the tasks, because awareness comes from watching, but true capability comes from doing.If you are curious about AI, and want to save time, reduce workload, and improve the quality of your learning programs, this course is for you.No fluff. No jargon. Just a practical path to becoming AI-ready in L&D.

Overview

Section 1: Orientation and Your Starting Point

Lecture 1 Welcome and What to Expect

Lecture 2 Reflection – Your Current AI Confidence and Goals

Lecture 3 Understanding the AI Capability Spectrum

Section 2: AI Foundations for the Learning Professional

Lecture 4 What AI Can and Cannot Do in Learning Design

Lecture 5 Prompt Engineering 101 – The L&D Edition

Lecture 6 Responsible and Ethical Use of AI in L&D

Lecture 7 Case Study – Building an Ethical AI-Driven Program

Lecture 8 Reflection – How Will You Apply Ethical AI in Your Work?

Section 3: Accelerating Research and Theory to Practice

Lecture 9 Using AI for Smarter Research Summaries

Lecture 10 Hands-On – Summarize a Complex Paper in Minutes

Lecture 11 Spotting Learning Gaps Using AI Tools

Lecture 12 Turning Theory into Actionable Learning Content

Lecture 13 Workshop – From Summary to Prototype Brief

Lecture 14 Reflection – Evaluating Your AI-Generated Research Outputs

Section 4: Instructional Design and Content Creation with AI

Lecture 15 Rapid Scripting, Storyboarding, and Slide Planning

Lecture 16 Creating Scenarios and Case Studies Using AI

Lecture 17 Hands-On – Build a Microlearning Module with AI

Lecture 18 Workshop – Create and Share Your Draft Module

Lecture 19 Reflection – What Did You Learn About AI-Generated Content?

Section 5: Instructor Enablement and Facilitation Support

Lecture 20 Onboarding and Supporting Instructors with AI

Lecture 21 Designing Prompts, Guides, and Role-Plays with AI

Lecture 22 Hands-On – Build an Instructor Resource Kit

Lecture 23 Workshop – Finalize Your AI-Powered Facilitation Guide

Lecture 24 Reflection – Is Your Instructor Toolkit Truly AI-Ready?

Section 6: Data-Driven Learning Design and AI Evaluation

Lecture 25 How AI Can Reveal Learner Struggles and Successes

Lecture 26 Tutorial – Use AI to Analyze Assessments and Surveys

Lecture 27 Introduction to Predictive Modeling for L&D

Lecture 28 Workshop – Build a Data Dashboard Prototype

Lecture 29 Reflection – Ethical Use of Learner Data

Section 7: The Road Ahead

Lecture 30 Build Your 30-60-90 Day AI Integration Plan

Lecture 31 Your AI-Enhanced Future in L&D – Final Thoughts and Next Steps

An Instructional Designer looking to speed up content creation and improve learner engagement.,A Training Manager or L&D Lead who wants to make smarter, data-informed decisions using AI insights.,A Learning Consultant or Coach aiming to create high-impact resources with less effort.,A Facilitator or Corporate Trainer who wants to design better role-plays, guides, and onboarding tools using AI.,An HR or Talent Development professional exploring how AI can support upskilling and capability-building.,Anyone just curious about how AI fits into the world of learning design and want to learn practical, real-world applications.