Digital learning is no longer confined to static platforms. As AI reshapes how people learn, the transition from Learning Management Systems (LMS) to Learning Experience Systems (LXS) is becoming essential. This course empowers participants to architect future-ready learning ecosystems that adapt in real-time, personalize at scale, and align closely with business outcomes through intelligent, learner-centric design and seamless AI integration.
- Evolution of LMS to LXS: From system-centric to learner-centric
- Key AI technologies reshaping digital learning platforms
- Building adaptive learning journeys using AI
- Integrating AI-driven content curation and recommendations
- Using NLP and ML for smart learner interaction
- Designing LXS architectures with data interoperability
- Personalization engines and learning path automation
- Learning analytics dashboards and predictive insights
- Ensuring data ethics, security, and GDPR compliance
- Case studies: Best-in-class LXS implementations
- Differentiate between LMS and LXS concepts and structures
- Apply AI techniques to personalize the learning experience
- Integrate intelligent recommendation engines in L&D strategy
- Design modular, scalable learning ecosystems
- Use analytics to monitor, predict, and enhance learner engagement
- Implement AI-enabled content automation tools
- Evaluate platforms based on interoperability and future-readiness
- Align LXS transformation with organizational capability needs
Learning & Development (L&D) professionals, instructional designers, learning architects, HR tech strategists, EdTech innovators, and organizational change leaders seeking to modernize learning ecosystems using AI-driven solutions.
The program uses an applied learning format that blends expert-led sessions, platform demos, interactive design sprints, and real-world LXS case evaluations. Participants work in small teams to build AI-enhanced learner journeys using sandbox environments and collaborative planning tools.
- History and limitations of traditional LMS platforms
- From compliance-focused to experience-driven learning
- Mapping the learner journey in LXS models
- Core components of an intelligent LXS
- Understanding xAPI and interoperability frameworks
- Trends: Open learning ecosystems and learning in the flow of work
- Role of AI in content personalization and curation
- Algorithms powering adaptive learning systems
- Machine learning and behavior-driven delivery
- Natural Language Processing (NLP) in learner support
- Tools: Docebo, Valamis, Instilled
- Data inputs for AI decision-making in L&D
- Designing dynamic, modular learning paths
- Creating microlearning and just-in-time content flows
- AI-enabled learner feedback mechanisms
- Curated vs. created content: Striking the balance
- Platforms: Degreed, EdCast, Microsoft Viva Learning
- Group workshop: Personalizing journeys for 3 learner types
- Learning analytics and engagement prediction
- Building dashboards that track learning and business KPIs
- Recommendation systems for next-best learning actions
- Integration with performance and HRIS systems
- Tools: Cornerstone, Watershed LRS, Fuse Universal
- Lab: Configure a live data-driven LXS mockup
- Change enablers for shifting from LMS to LXS
- Managing stakeholder expectations and buy-in
- Data privacy, security, and AI governance
- Auditing bias and ensuring inclusion in AI models
- Roadmap: Designing your organization’s LXS transition plan
- Final presentation: Smart LXS prototype and rollout strategy
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.