Introduction
AI personalizes learning experiences, identifies skill gaps, and accelerates workforce development. This course teaches L&D leaders how to leverage AI-driven tools for upskilling and reskilling initiatives. Participants will explore adaptive learning systems, skill intelligence platforms, and performance analytics. By the end, learners will be able to design AI-enhanced learning programs aligned with organizational strategy.
Course Objectives
- Use AI for skill mapping and learning personalization
- Build adaptive learning pathways
- Evaluate workforce capability using analytics
- Automate L&D workflows and content creation
- Design AI-driven learning programs
Target Audience
- L&D leaders
- HR and talent development teams
- Training managers
- Workforce transformation leads
- Education technology professionals
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: AI in Learning & Development• AI learning ecosystem
• Skill intelligence
• Learning analytics
• Personalized learning
• Case studies0 - Day 2: Skill Mapping & Gap Analysis• Skills taxonomies
• AI skill inference
• Competency modeling
• Team capability assessment
• Hands-on: Skill analysis0 - Day 3: Adaptive Learning Systems• Personalized pathways
• Recommendation engines
• Real-time progress tracking
• Multimodal content delivery
• Hands-on: Adaptive learning demo0 - Day 4: AI-Enhanced Content Creation• Automated content generation
• Microlearning programs
• Coaching and feedback assistants
• Quality assurance
• Hands-on: Create AI learning content0 - Day 5: Building an AI-Driven L&D Strategy• Aligning L&D with business goals
• Workforce upskilling at scale
• L&D governance
• Continuous development culture
• Capstone L&D strategy0
Instructor
Lessons:
