Description

 Introduction

The Cornerstone AI for Learning & Development training is designed to help HR professionals, L&D managers, administrators, and system consultants leverage Artificial Intelligence within Cornerstone to transform workforce learning, skill development, and talent growth.

This course explores how AI-powered capabilities in Cornerstone enable:

1. Intelligent learning recommendations
2. Skills-based development
3. Personalized career pathways
4. Automated content curation
5. Advanced workforce analytics
6. Talent mobility and internal career growth

Participants will gain practical knowledge of how AI enhances learner engagement, improves decision-making, and supports strategic workforce planning.

By the end of this training, learners will understand how to configure, manage, and optimize AI-driven features within Cornerstone to build a future-ready workforce.

Prerequisites

1. Basic understanding of Cornerstone Learning Management System (LMS)
2. Familiarity with L&D processes and training lifecycle
3. Basic knowledge of HR systems and talent management
4. Experience as a Cornerstone Administrator or L&D Manager
5. Understanding of skills frameworks and competency models
6. Exposure to analytics and reporting concepts

Table of Contents

Module 1: Overview of AI in Cornerstone

1. Introduction to AI in Learning & Talent Management
2. Evolution of AI in HR Technology
3. Cornerstone AI Architecture Overview
4. Key AI Capabilities in Cornerstone

Module 2: Skills Intelligence & Skills Graph

1. Understanding Skills Framework in Cornerstone
2. AI-Powered Skills Inference
3. Skills Ontology & Taxonomy
4. Managing and Mapping Skills
5. Building a Skills-Based Organization

Module 3: AI-Driven Learning Recommendations

1. Personalized Learning Recommendations
2. Dynamic Learning Paths
3. Role-Based and Skill-Based Recommendations
4. Content Discovery using AI
5. Improving Learner Engagement with AI

Module 4: AI-Powered Content Curation

1. Automated Content Tagging
2. Content Matching to Skills
3. Internal & External Content Integration
4. Using AI for Microlearning & Just-in-Time Learning

Module 5: Career Mobility & Internal Talent Marketplace

1. AI-Based Career Pathing
2. Skill Gap Identification
3. Personalized Career Development Plans
4. Internal Talent Mobility
5. AI for Succession Planning

Module 6: Workforce Analytics & Predictive Insights

1. AI-Based Reporting & Dashboards
2. Skill Gap Analytics
3. Predictive Learning Insights
4. Identifying High-Potential Employees
5. Data-Driven L&D Strategy

Module 7: Configuring AI Features in Cornerstone

1. Enabling AI Features
2. Admin Configuration Settings
3. Managing AI Governance
4. Privacy, Compliance & Ethical AI Considerations

Module 8: Use Cases & Real-World Scenarios

1. AI for Large Enterprises
2. AI for Mid-Sized Organizations
3. Industry-Specific Use Cases
4. ROI Measurement of AI in L&D

Module 9: Best Practices & Optimization

1. Driving AI Adoption in Organizations
2. Change Management Strategies
3. Monitoring AI Performance
4. Continuous Improvement Framework

Module 10: Hands-On Workshop

1. Configuring Skills Intelligence
2. Setting Up AI Recommendations
3. Building a Skills-Based Learning Path
4. Running AI-Powered Reports
5. Practical Case Study