AI IN HR TECH – RECRUITMENT, AUTOMATION, TRAINING, HR ANALYTICS

23^rd-24^th March, 2026                                                                                                                                                  28^th-29^th May, 2026

22^nd-23^rd July, 2026                                                                                                                                                    11^th-12^th November, 2026

Introduction

AI in HR technology (HR Tech) is transforming talent management by enhancing efficiency, reducing bias,
and enabling data-driven decisions. Key applications include AI-driven recruitment (sourcing, screening, chatbots), personalized training, and predictive HR analytics. These tools automate repetitive tasks, optimize skill mapping, and improve employee engagement. 

AI in HR Technology typically bridge technical capabilities with HR functions, focusing on increasing efficiency, reducing bias, and enhancing employee experience. This course is designed for HR professionals and cover automation in recruitment, personalized learning, and predictive analytics. 

course Contents

Module One: Introduction to AI in HR Tech

• Fundamentals of AI: Understanding AI, Machine Learning (ML), Natural Language Processing (NLP), and Generative AI (GenAI).
• The AI-Enabled HR Ecosystem: Understanding how AI fits into the employee lifecycle.
• Ethical AI and Bias Mitigation: Recognizing and reducing bias in AI algorithms; Data privacy (GDPR) and ethical considerations.
• Building an AI Strategy: Building business cases for AI and selecting the right HR tech vendors. 

Module Two: AI in Recruitment & Talent Acquisition Automation

• Automated Sourcing & Screening: Using AI to source passive candidates and screen resumes/CVs at scale.
• Candidate Matching: Leveraging algorithms to match candidate profiles to job descriptions.
• AI Chatbots & Virtual Assistants: Implementing chatbots for 24/7 candidate engagement, scheduling interviews, and answering FAQs.
• Automated Video Interviews & Assessments: Using NLP to analyze candidate interactions and video/audio content. 

Module Three: AI in Training & Learning & Development (L&D)

• Personalized Learning Paths: Creating tailored, adaptive learning experiences based on skill gaps and career goals.
• Intelligent Content Curation: Using AI to curate or generate training content, quizzes, and microlearning modules.
• Virtual and Augmented Reality (VR/AR): Implementing immersive, AI-driven simulations for soft skills or technical training.
• Measuring Training ROI: Analyzing training data to evaluate effectiveness and skill improvement. 

Module Four: HR Analytics & Data-Driven Insights 

• Predictive Analytics: Forecasting attrition, identifying high-potential employees, and predicting future workforce needs.
• Employee Sentiment Analysis: Analyzing surveys, chat logs, and feedback to gauge employee morale.
• Performance Management AI: Automating performance reviews and tracking real-time performance.
• HR Dashboards & Visualization: Building AI-driven dashboards (e.g., Excel, Power BI) for HR metrics and data storytelling. 

Module Five: Implementation & Future Trends

• Change Management: Strategies to overcome resistance to AI adoption in HR teams.
• AI-Driven HR Tools: Practical experience with tools like ChatGPT, and specialized ATS platforms.
• The Future of Work: Emerging technologies like blockchain in HR and the evolving role of HR professionals. 

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

Target Audience 

This course is typically for: HR Managers & Directors; Talent Acquisition Specialists; Learning & Development (L&D) Practitioners; HR Business Partners & Analysts