Learning and Development (L&D) with Generative AI

Overview

Let me ask you something—how would it feel if you could make your training programs smarter, faster, and more impactful without adding extra hours to your workday? That is exactly what Learning and Development with Generative AI is all about.

Syllabus

• Introduction to Generative AI in L&D
Overview of AI in Learning and Development
Basics of Generative AI: Definitions and Examples
Current Trends and Future of AI in L&D
• Understanding Generative Models
Types of Generative Models: GANs, VAEs, and Transformers
Key Algorithms and Techniques
Applications of Generative AI in Education
• Enhancing Training Programs with AI
Automated Content Creation: Text, Audio, and Video
Personalized Learning Pathways
Interactive Simulations and Scenarios
• Smart Assessment and Feedback
AI-Driven Assessment Tools
Real-Time Feedback and Performance Tracking
Adaptive Learning Technologies
• Implementing AI in L&D Strategies
Integrating AI with Existing L&D Tools
Best Practices for Implementation
Addressing Ethical and Privacy Concerns
• Case Studies and Success Stories
Real-World Examples of AI in L&D
Lessons Learned and Key Takeaways
• Hands-On Workshop
Developing a Prototype AI-Based Training Module
Tools and Platforms for Building AI Solutions
• Evaluation and Continuous Improvement
Measuring the Impact of AI-Enhanced Training
Continuous Learning and Adaptation
• Future of L&D with AI
Emerging Technologies in AI for L&D
Preparing for the Evolution of Learning Spaces
• Wrap-Up and Next Steps
Review of Key Concepts
Resources for Further Learning
Q&A and Course Feedback

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Taught by

Zubin Rashid

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Subjects

Computer Science