Agenda
Over three, four-and-a-half-hour sessions, take part in a live, virtual instructor-led (VILT) class, offering you ample time for discussion, analysis and sample prompts and data sets to work from during the course sessions. By the end of the program, you’ll have a thorough understanding of how to integrate AI tools for L&D for optimized training programs.
PREWORK
Prior to the course, you will receive instructions on how to prepare for the live session, including accessing the necessary AI technologies and course workbook to participate in course activities. You’ll also be asked to complete a short (approximately one hour) introductory activity to using Generative AI in L&D.
DAY 1 - AI Foundations & Content Creation
FOUNDATIONS OF AI IN L&D
- Generative AI Overview
- Real- world AI Corporate Training and Development Use Cases
- Limitations of AI and How to Mitigate Them
- Strategic Considerations for Adopting AI in Training and Development
- Dialectic Rules and Prompting
Activity: Prompting Basics, Chained Prompting and Advanced Prompting Techniques
AI-DRIVEN CONTENT CREATION AND CURRICULUM DESIGN
- Instructional Design with AI and Quality Assurance
- Customizing AI Tools for Diverse Learning Preferences
- Enhancing Curriculum Development With AI Insights
Activity: Creating A Mini-Module Using AI-Generated Content
PERSONALIZATION AND ADAPTIVE LEARNING PATHWAYS
- Integrating Feedback and Performance Data into AI Recommendations
- Ethical Considerations in Personalized Learning Experiences
DAY 2 - Data, Analytics & Engagement
DATA-DRIVEN INSIGHTS AND LEARNER ANALYTICS
- Capturing and Analyzing Learning Data
- Privacy and Security Best Practices for Learner Data
- Translating Data into Actionable Teaching and Learning Strategies
Group Activity: Interpreting AI-Generated Analytics to Inform L&D Decisions
INTEGRATING AI WITH LMS AND LEARNING TECH PLATFORMS
- Accessing and Analyzing LMS Data
- Seamless AI Integration Roadmap
Activity: Experimentation With AI Tools Using LMS Data
ENHANCING LEARNER ENGAGEMENT WITH AI
- Strategies for AI Learning Experiences
Activity: Using AI for More Compelling Gamification, Simulations and Interactive Content
- Personalized Feedback and Support
Activity: Design an AI-Driven Learner Engagement Campaign
Activity: Maintaining Human Touch in AI-Augmented Learning
DAY 3 - Talent Development & Ethics
AI FOR TALENT DEVELOPMENT AND SKILLS GAP ANALYSIS
- Using Predictive Models for Future Skills and Competency Needs
- Measuring the Impact of AI-Driven Talent Development Initiatives
Activity: Use AI to Create a Talent Development Plan
ETHICAL AND PRIVACY CONSIDERATIONS IN AI-ASSISTED WORK
- Balancing Personalization with Privacy
- Developing an Ethical AI Use Policy
- Assessing Your Organization’s Readiness for AI in L&D
Activity: Build an AI Adoption Strategy
PREPARING FOR THE FUTURE
Workbook: You will receive a companion workbook with a various sample prompts to be used in the course and for personal use.
View the brochure for a comprehensive look or contact us for any questions.
View Brochure Contact Us