The Future of Work in the Age of AI

Course Category : Information Technology

A practice-oriented programme focused on understanding AI-driven workforce transformation, redesigning roles and skills, and preparing organisations for the future of work.
Duration: 5 Days | Level: Advanced

Introduction

The world of work is undergoing an unprecedented transformation driven by rapid advances in artificial intelligence, automation, and advanced analytics. These changes go sees beyond tools and tasks, reshaping job roles, skill requirements, employment models, and the relationship between humans and technology.
This course provides a practical framework for analysing the future of work in the age of AI. It addresses job redesign, future skills development, workforce transformation, organisational change, and sustainable work models. Participants will gain the strategic insight needed to lead AI-driven workforce transitions responsibly and effectively..

Targeted Audience

Executives and Decision-Makers
Human Resources and Workforce Planning Managers
Digital Transformation Managers
Middle Management Leaders
Learning and Development Managers
Strategy and Innovation Leaders
Business Unit Heads
Organisational Policy Officers

Targeted Skills

AI Impact Analysis on Jobs and Labour Markets
Role and Work Model Redesign
Future Skills Identification and Capability Building
AI-Driven Organisational Change Management
Agile and Sustainable Work Models
Data-Informed Workforce Decision-Making

Expected Outcomes

Understand the impact of AI on the future of work.
Analyse job susceptibility to automation and transformation.
Redesign roles aligned with intelligent technologies.
Identify and develop future workforce skills.
Manage organisational and labour market transitions effectively.
Sustain human capital in the age of AI.

Training Topics Index

Evolution of work patterns
Automation and AI impact
Shifts in job demand
Hybrid and flexible work
Socio-economic challenges

Automation susceptibility analysis
Emerging and declining roles
Technical and human skills
Skills gap assessment
Proactive workforce planning

Job re-engineering
Human–machine collaboration
New work models
Task redistribution
Productivity and value creation

Leading AI-driven change
Reskilling and upskilling strategies
Managing resistance
Organisational communication
Workforce stability

Decent and inclusive work
Ethics of automation
Future work policies
Social impact measurement
Human capital sustainability

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code