Grounded in modern L&D trends, this course empowers learning leaders to design and implement intelligent assessment systems and AI-driven skills mapping. Through generative analytics, adaptive diagnostics, and real-world simulations, delegates will learn to pinpoint skill gaps, forecast capability needs, and build competency architectures that are scalable, ethical, and aligned with strategic workforce goals.
- AI‑powered skills mapping and workforce forecasting
- Intelligent assessment design and adaptive testing
- Competency architecture and skill taxonomy frameworks
- Generative AI for dynamic diagnostics & feedback
- L&D analytics and impact measurement with AI
- Real-time learning assistants and AI coaching
- Ethical AI, data governance, and bias mitigation
- Agile learning integration and iterative skills diagnostics
- Augmented learning and experience-based assessments
- Future of L&D: Gen Z, AI-native workforce expectations
- Develop AI-driven skills maps and forecasts aligned with business strategy
- Design adaptive assessment systems that dynamically measure competency growth
- Construct competency architectures tailored to role-based learning paths
- Use generative AI to create dynamic diagnostics and personalized feedback
- Interpret AI-enhanced L&D analytics to demonstrate measurable ROI
- Deploy AI-based learning assistants and real-time coaching systems
- Ensure ethical AI use through bias management and data governance
- Apply agile and augmented learning techniques for ongoing skill refinement
L&D managers, learning architects, talent strategists, HR analytics professionals, learning technologists, and consultants focused on intelligence-powered development and competency alignment.
Through a mix of expert-led workshops, scenario-based labs, AI tool demonstrations, and peer collaboration, participants will put intelligent assessments into practice, iteratively mapping, analyzing, and responding to skills gaps in real time—with an agile, evidence-based approach.
- The shift to skills-based L&D frameworks
- Competency architecture essentials and skill taxonomy building
- AI‑powered skills gap detection and workforce forecasting
- Case study: Internal expertise discovery in dynamic markets
- Lab: Map a role‑based competency structure
- Peer collaboration: validate and iterate designs
- Principles of adaptive testing and intelligent assessment
- Automated item generation and generative AI diagnostics
- Augmented learning and context‑aware assessment tools
- Workshop: Build an AI‑adaptive assessment prototype
- Feedback session: embedding formative diagnostics
- L&D analytics fundamentals and data‑driven decision models
- AI forecasting for future skills needs and workforce planning
- KPI dashboards: ROI, performance, and engagement metrics
- Lab: Create an intelligent skills dashboard
- Review: Real‑world examples of skill‑impact analytics
- Deploying AI-powered learning assistants and chatbots
- Ethics-first intelligent assessment: privacy & bias
- Managing 'stagility': balancing AI agility with workplace stability
- Lab: Build and simulate an AI coaching prototype
- Group discussion: guardrails, transparency, consent
- Embedding agile cycles into L&D and skill assessment
- Augmented intelligence: enhancing vs. replacing human roles
- Future workforce strategies: Gen Z & AI-native employees
- Capstone: Craft and present an intelligent skills-mapping strategy
- Final review & peer feedback; next-step action planning
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.