CODE: HR09
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This is an advanced course that examines how AI-powered forecasting, scenario modeling, and predictive analytics can optimize workforce planning, improve talent acquisition, and anticipate skill needs before they emerge. It is also a blend of AI and management which has been designed to empower HR leaders and business strategists to harness artificial intelligence and data science for proactive talent management. Participants will learn to integrate machine learning models into decision-making processes, align workforce strategies with business objectives, and ensure agility in responding to market changes. Through case-based learning and practical simulations, the program bridges cutting-edge AI capabilities with actionable workforce strategies for long-term organizational success.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Diagnose skills shortages using AI-powered talent intelligence platforms.
Predict attrition risks with 85%+ accuracy through ML models.
Optimize hiring pipelines with predictive candidate matching.
Simulate workforce scenarios for restructuring and growth.
Audit AI models for bias and compliance with labor regulations.
Visualize talent insights through executive-ready dashboards.
Govern sensitive people data in AI-driven HR systems.
Calculate ROI of predictive versus reactive workforce strategies.
At the end of this course, you’ll understand:
This course has been carefully prepared for CHROs, Workforce Planning Directors, and People Analytics Leaders in data-mature organizations, along with HR Business Partners transitioning to AI-augmented roles. The program equally benefits Management Consultants designing future-of-work strategies, CFOs aligning talent investments with financial planning, and HR Tech Product Managers building predictive tools and other expert responsible for converting workforce data into competitive advantage while navigating algorithmic fairness and privacy regulations.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
