ARTIFICIAL INTELLIGENCE (AI) IN HR & BUSINESS APPLICATIONS

9^th-10^th February, 2026                                                                        5^th-6^th May, 2026

14^th-15^th July, 2026                                                                              6^th-7^th October, 2026

Introduction

AI in HR and business applications leverages machine learning, natural language processing, and generative AI to automate administrative tasks, streamline recruitment, and provide data-driven workforce insights. Key
applications include automated resume screening, personalized employee development, predictive analytics for turnover, and chatbots for employee support, significantly enhancing efficiency and decision-making. 

Artificial Intelligence (AI) in Human Resources (HR) and Business Applications typically cover a mix of
foundational AI concepts, practical HR applications, and ethical considerations for implementation. These courses are designed to help HR professionals leverage AI for talent acquisition, employee engagement, and strategic planning. 

Modern courses on AI in HR & Business Applications are designed to bridge the gap between technical machine learning concepts and strategic workforce management. They typically blend theoretical foundations with hands-on practice in automation and analytics. 

Course Contents

Module One: Core HR Activities

Talent Acquisition & Sourcing: Using AI to screen CVs, match candidates to roles, and predict job fit. It often includes automated interview systems and AI-driven candidate sourcing.

• Employee Experience & Onboarding: Creating personalized onboarding journeys and using AI
  chatbots for real-time employee inquiry handling.
• Learning & Development (L&D): Implementing adaptive learning platforms that identify skill gaps and suggest tailored career paths.
• Performance Management: Monitoring real-time performance data and sentiment analysis of employee feedback to improve engagement. 

Module Two: Strategic Business Applications

• Workforce & People Analytics: Applying predictive analytics to forecast turnover, design retention strategies, and link HR metrics to business outcomes.
• Task Automation (RPA): Utilizing Robotic Process Automation for routine administrative tasks like payroll
  processing and compliance communication.
• Decision Making: Evaluating AI-driven insights to reduce bias and enhance objectivity in hiring and
  promotion decisions. 

Module Three: Ethics, Law, and Governance

• Bias Mitigation: Strategies for identifying and reducing algorithmic bias to ensure fairness
  and inclusivity in automated systems.
• Legal Compliance: Navigating data privacy laws, employment regulations, and conducting AI audits.
• Responsible AI: Developing frameworks for maintaining the “human touch” and fostering trust
  in AI-driven environments. 

Module Four: Technical & Tool Competencies

• Generative AI & Prompting: Crafting effective prompts for tools like ChatGPT or Claude for content generation and HRIS vendor selection.
• AI Ecosystems: Understanding the roles of Machine Learning (ML), Natural Language Processing (NLP),
  and Blockchain in securing employee data

 Duration: Two (2) days                                                                           Fee:N180,000