Cambridge
Academy
In London

Introduction

AI is transforming human resource management by enhancing talent acquisition, employee engagement, and workforce planning. Leaders must adapt to AI-driven HR strategies.

Course Objectives

By the end of this course, participants will be able to:

·       Learn how AI is shaping HR leadership.

·       Use AI for recruitment, retention, and workforce planning.

·       Apply AI for employee engagement and productivity.

·       Understand ethical concerns of AI in HR.

Target Audience

This course is designed for:

·       HR directors and managers

·       Business leaders with large teams

·       Organizational development professionals

·       Talent management specialists

Course Outlines

Day 1: AI in Modern HR

·                 Overview of AI applications in HR leadership

·                 AI in recruitment, onboarding, and retention

·                 Benefits and risks of AI in HR processes

·                 Case studies: AI-enabled HR strategies

·                 Discussion: HR leader’s role in AI adoption

Day 2: AI for Recruitment & Talent Acquisition

·                 Using AI for resume screening and candidate matching

·                 Predicting candidate success with AI tools

·                 Bias in AI recruitment: risks and solutions

·                 AI-driven interview tools and video assessments

·                 Workshop: Simulate AI-driven recruitment process

Day 3: Employee Engagement with AI

·                 AI tools for tracking employee engagement

·                 Predicting attrition with AI insights

·                 Sentiment analysis of employee feedback

·                 Real-world examples of AI for workplace well-being

·                 Group exercise: Design an AI-driven engagement plan

Day 4: Workforce Planning & Productivity

·                 Predicting workforce needs with AI analytics

·                 AI for performance management and goal tracking

·                 Automating HR workflows with AI systems

·                 Case study: AI-enabled workforce transformation

·                 Workshop: Workforce forecasting exercise

Day 5: Ethics & Responsible AI in HR

·                 Ensuring fairness and transparency in AI-driven HR

·                 Data privacy and employee rights concerns

·                 Leadership responsibility in AI adoption

·                 Group project: Build an AI-powered HR strategy

·                 Wrap-up & certification