PROGRAM DETAILS

Introduction

In today’s fast-evolving business landscape, organizational learning must move beyond traditional training delivery toward intelligent, adaptive, and data-driven development systems. Modern enterprises require training strategies that are agile, personalized, and directly aligned with business transformation goals. This advanced program explores how world-class organizations leverage artificial intelligence (AI), learning analytics, and digital innovation to design and evaluate high-impact training. Participants will gain a deep understanding of strategic learning architecture, AI-driven needs analysis, adaptive learning design, and real-time evaluation metrics. The program combines theoretical frameworks with hands-on case studies and simulation-based learning to bridge the gap between strategy and execution.

By integrating predictive analytics, performance dashboards, and learning experience platforms (LXPs), this course empowers HR leaders and training professionals to design scalable, measurable, and future-ready learning interventions. Participants will leave with a digital toolkit of methodologies and global best practices to drive performance, demonstrate ROI, and build a resilient learning culture that supports continuous innovation.

 Learning Objectives

Upon completing this program, participants will be able to:

• Apply AI-assisted training needs analysis (TNA) techniques to identify performance gaps and prioritize development initiatives.
• Use data visualization and learning analytics to measure and communicate the business impact of training.
• Design adaptive and personalized training programs using digital tools and microlearning principles.
• Implement evidence-based evaluation frameworks (e.g., Kirkpatrick, Phillips ROI, and CIPP models) integrated with real-time dashboards.
• Incorporate innovation methods such as design thinking, gamification, and immersive learning (AR/VR) to enhance engagement and retention.
• Align learning strategy with organizational performance indicators and future workforce capabilities.

 Target Audience

This program is ideal for:

• Learning & Development (L&D) Managers
• Training and HR Strategists
• Organizational Development Specialists
• Talent Management Professionals
• Line Managers & Supervisors responsible for training ROI
• Corporate University Leaders and Learning Designers

Training Methodology

Facilitated by a globally recognized expert in learning strategy and evaluation, this program blends expert facilitation, AI tools, simulation labs, collaborative design sessions, and live analytics dashboards. Participants will engage in:

• Case-based learning from global organizations
• AI-driven scenario analysis for training optimization
• Group projects on real-world data from their organizations
• Interactive labs using digital evaluation frameworks and visualization tools

A learning management sandbox will be available for participants to experience how technology enhances continuous learning and feedback loops.

Program Content

Day 1: Strategic Training Needs Analysis in the AI Era

• Redefining TNA through predictive analytics and machine learning
• Aligning learning strategies with digital transformation and corporate KPIs
• Differentiating between compliance, capability, and innovation-driven training
• Using workforce analytics to forecast future skill needs

Day 2: Smart Training Design and Delivery

• Integrating blended learning, microlearning, and immersive technologies (AR/VR)
• Choosing delivery methods based on learner data and behavioral insights
• Adaptive learning platforms and personalization engines
• Design thinking in curriculum development

Day 3: Implementation Excellence & Case Applications

• Global best practices and innovation case studies
• Leveraging cloud-based learning ecosystems and LXPs
• In-house vs. outsourced training: digital transformation models
• Integrating coaching, mentoring, and peer learning in hybrid environments

Day 4: Modern Training Evaluation and ROI Analytics

• Advanced evaluation frameworks: Kirkpatrick, Brinkerhoff, Phillips ROI
• Using learning analytics and business intelligence dashboards for continuous feedback
• AI-assisted sentiment and performance analysis
• Linking learning data with performance management systems

Day 5: Application, Integration & Continuous Improvement

• Building post-training impact frameworks and measurement plans
• Managing uncertainty and variance in performance outcomes
• Creating “learning value contracts” with measurable deliverables
• Developing a Learning Impact Dashboard (LID) for executive reporting