Upskilling the Workforce for the AI Era

Build future-ready skill sets aligned with AI-augmented job roles.

Pillar

People – Mindset, Leadership & Change

Overview

This course is designed to help organizations and individuals prepare for the evolving demands of an AI-augmented workplace. It provides a structured roadmap to assess current capabilities, close skill gaps, and develop new competencies essential for thriving alongside Generative AI. Participants will explore future skills frameworks, hands-on tools, and personalized upskilling strategies.

Learning Objectives

Participants will be able to:

• Identify core digital and AI literacy skills needed in the GenAI era

• Understand how AI impacts different functions and required skill sets

• Create personalized and team-based upskilling plans

• Utilize GenAI tools to enhance learning and productivity

• Promote a continuous learning culture within teams and organizations

Target Audience

• HR and Learning & Development professionals

• Team leaders and department heads

• Employees seeking career growth in AI-enabled roles

• Organizational development and transformation teams

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Instructor-led sessions

• Skills mapping and capability assessment workshops

• Peer coaching and AI tool demonstrations

Materials Provided

• AI Skills Framework Guide

• Workforce Capability Mapping Template

• Personalized Upskilling Plan Workbook

• Certificate of completion

Outcomes

• Understand the future skills landscape in AI-powered workplaces

• Build upskilling and reskilling strategies at individual and team levels

• Increase AI tool proficiency aligned to specific roles

• Strengthen internal talent pipelines for GenAI integration

Outline / Content

Day 1: Understanding AI Skills & Role Evolution

• Overview of AI transformation across job roles

• Key future skills: cognitive, digital, and collaborative

• Role analysis: what’s changing, what’s staying

Day 2: Skills Gap Analysis & Workforce Mapping

• Mapping current capabilities to future job demands

• Conducting individual and team skill assessments

• Identifying high-priority areas for upskilling

Day 3: Building AI-Enhanced Learning Paths

• Learning agility and continuous development models

• Leveraging GenAI tools to accelerate learning

• Creating adaptive, modular training plans

Day 4: Execution and Organizational Alignment

• Embedding upskilling into performance and career systems

• Building internal academies and AI learning communities

• Action planning: from pilot to enterprise-wide rollout