Harnessing artificial intelligence for Learning & Development (L&D) is revolutionizing how organizations understand, measure, and scale employee growth. This course provides participants with practical strategies to integrate AI tools into L&D systems, enhancing decision-making, personalizing learning paths, and measuring learning ROI through analytics. Participants will leave equipped with actionable insights to design agile, intelligent, and forward-looking L&D strategies.
- Understanding AI's role in modern L&D ecosystems
- Data sources and pipelines for training analytics
- AI in learning needs assessment and skills gap analysis
- AI-driven adaptive learning platforms and personalization
- Using predictive analytics to shape L&D strategy
- Automating L&D reporting and ROI evaluation
- Designing AI-supported digital learning paths
- Measuring engagement, retention, and knowledge transfer with AI
- Ensuring data ethics and privacy in AI-powered L&D
- Case studies of successful AI-enabled L&D initiatives
- Integrate AI into L&D strategies effectively
- Identify key data sources for AI-supported learning analytics
- Evaluate and select AI tools for personalized training
- Design adaptive learning experiences with AI insights
- Implement predictive models for future skills development
- Track ROI and learning outcomes using AI-powered dashboards
- Apply ethical principles to L&D data management
- Lead AI adoption in corporate learning culture
L&D Managers, HR Business Partners, Corporate Trainers, Organizational Development Specialists, HR Analytics Professionals, and Executives seeking to enhance strategic training impact through AI-driven insights.
This training integrates expert instruction, real-world case studies, AI tool demonstrations, group collaboration, and hands-on design labs. Each session combines theoretical frameworks with practical applications to ensure that participants can implement AI-enhanced strategies directly in their roles.
- L&D evolution and AI's role
- Basic AI concepts and applications
- Data collection fundamentals
- LMS and LXP data flow
- Creating AI-readiness in L&D functions
- Identifying AI use cases for L&D
- Identifying skill gaps with AI tools
- AI for performance gap analysis
- Machine learning in learning needs diagnostics
- Mapping roles to competencies via data
- AI tools for sentiment and behavior analysis
- Creating learner profiles with AI insights
- AI in personalized learning paths
- Microlearning and smart content curation
- AI recommendation engines in L&D
- Adaptive testing and diagnostics
- Neuroscience and AI in training design
- Demo: Adaptive learning platform tools
- Building AI-enabled dashboards
- Metrics and KPIs for training ROI
- Predictive analytics in employee development
- Visualization and storytelling with L&D data
- Automating reports with AI tools
- Demo: Dashboard creation using AI analytics
- Ethical use of AI in training
- Bias mitigation in learning algorithms
- GDPR and data privacy for L&D analytics
- Developing an AI-aligned L&D roadmap
- Stakeholder engagement in L&D transformation
- Final case study and AI strategy presentation
Group & Corporate Discounts: Available for companies enrolling multiple participants to help maximize ROI. Individual Discounts: Offered to self-sponsored participants who pay in full and upfront. Registration Process: Corporate nominations must go through the client’s HR or Training department. Self-nominations must be prepaid via the “payment by self” option. Confirmation: All registrations are subject to DIXONTECH’s approval and seat availability. Refunds: Provided in case of course cancellation or no seat availability. Tax Responsibility: Clients are responsible for any local taxes in their country.