Imagine training that's instinctively tailored to each learner's pace, style, and goals through intelligent algorithms. This course empowers L&D and HR professionals to build adaptive learning programs using AI-powered platforms like Docebo, Coursera for Business, and Degreed. Participants will learn to craft dynamic content pathways, leverage real-time performance data, and integrate recommendation engines to optimize learner engagement. By combining gamified microlearning, scenario-driven simulations, and ethical design, delegates will deliver custom learning experiences that boost retention, motivation, and measurable business impact.
- AI-driven personalization frameworks in L&D
- Content curation using machine learning recommendation engines
- Adaptive learning paths and microlearning design
- Learner profiling and skills-gap diagnostics
- Intelligent performance analytics and feedback loops
- Gamification and scenario-based learning powered by AI
- Automated assessment and dynamic evaluation models
- Compliance tracking and adaptive reinforcement
- Integrating AI with LMS and learning ecosystems
- Ethical considerations and data privacy in adaptive learning
- Design AI-enabled personalized learning experiences
- Implement recommendation engines for content curation
- Configure adaptive learning paths based on learner data
- Analyze performance analytics to refine training design
- Apply gamification and scenario-labs dynamically
- Build automated assessment and feedback systems
- Ensure data privacy and ethical learner analytics
- Integrate adaptive modules within existing LMS architecture
- Learning & Development managers and designers
- HR professionals overseeing training programs
- Instructional designers and training architects
- L&D technologists and LMS administrators
- Talent development specialists and coaches
This course blends expert instruction, AI platform demonstrations, user profiling labs, and scenario-based workshops. Participants build adaptive modules, configure recommendation dashboards, run gamified simulations, and test assessment flows. Peer feedback and case reviews highlight best practices. Ethical and privacy reviews ensure compliance. By program end, delegates will draft a personalized, AI-augmented learning blueprint aligned with organizational objectives.
- The evolution: from one-size-fits-all to adaptive learning
- Overview of AI in L&D—tools, platforms, and use cases
- Learner profiling: skills, preferences, and performance modeling
- Lab: Map individual learner journeys with AI
- Reflection: Aligning personalization to business outcomes
- Machine learning for content tagging and taxonomy
- Deploying recommendation engines (e.g., Degreed, Coursera)
- Automating microlearning and content sequencing
- Workshop: Build a recommender dashboard for role-based learning
- Peer review: Ensuring relevance and diversity in content
- Adaptive scenario simulation powered by AI
- Designing branching narratives and real-time feedback
- Tools: Articulate 360 with AI plugins, Raptivity AI features
- Lab: Create a gamified adaptive training scenario
- Discussion: Engagement metrics and learning retention
- Building AI-driven quizzes and dynamic evaluation
- Feedback loops: AI-generated performance reports
- Tools: EdApp, Quizlet AI, Class Central analytics
- Exercise: Configure an adaptive test with AI scoring
- Ethical considerations: bias in automated evaluations
- Integrating AI modules within LMS ecosystems
- Data privacy, consent, and learner transparency
- Case review: corporate rollouts of adaptive learning systems
- Capstone: Design a full adaptive training blueprint
- Peer stimulus: Deliver strategic roadmap presentations
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.