This course is designed for individuals looking to understand and leverage Data Science and Generative AI technologies in Human Resource Management. It covers foundational concepts, practical tools, and real-world applications, with a focus on recruitment, employee engagement, performance management, and HR decision-making. This course is available in English, Tamil, and Hindi to make learning accessible and inclusive for a diverse group of learners.
Includes an exclusive in-person campus immersion at IIT Kanpur for hands-on learning and networking.
Pre-Requisites:
- Basic understanding of Human Resource concepts.
- Familiarity with basic computer operations and HR processes.
Target Audience:
- HR professionals aiming to enhance their skills with AI and Data Science technologies.
- Students and graduates aspiring to build a career in Human Resource Management.
- Business leaders looking to optimize HR processes with AI-driven strategies.
Key Learning Outcomes:
By the end of this course, participants will:
- Understand key concepts of AI and Data Science in Human Resource Management.
- Be able to identify opportunities for AI and Data Science implementation within HR workflows.
- Gain familiarity with tools and platforms used in recruitment, performance management, and employee engagement.
- Learn to evaluate HR projects using predictive analytics and AI models.
- Develop insights into the future of AI-driven HR processes.
Delivery Mode & Duration:
- Delivery Mode:
- Online Live
- Hybrid Mode: Live online sessions + in-person campus immersion
- Duration: 40 Hours (30 Hours of Online Live Sessions + 10 Hours of Final Project)
Curriculum
Module 1: Introduction to HR & AI (4 hours)
- Understanding Human Resource Management.
- HR roles and responsibilities.
- HR functions: Recruitment, Training, Employee Engagement, Performance Management.
- AI & Data Science in HR.
- Automation in HR processes.
- AI-powered decision-making.
- Overview of AI tools in HR (Chatbots, Resume Screening, Sentiment Analysis).
- Hands-on Activity: Survey on AI adoption in HR using Google Forms.
Module 2: AI for Recruitment & Resume Screening (6 hours)
- AI in Hiring & Resume Screening.
- Automated resume screening & bias detection.
- AI-powered job matching.
- Hands-on Activity: Using Rezi or Jobscan for AI resume screening, Evaluating bias in AI hiring reports.
- Tools Used: Rezi, Jobscan, ChatGPT, LinkedIn AI hiring.
Module 3: AI for Employee Engagement & Retention (6 hours)
- Sentiment Analysis in HR.
- AI in analyzing employee emotions & feedback.
- Using AI to improve workplace culture.
- Hands-on Activity: Conducting sentiment analysis on employee feedback using MonkeyLearn.
- Exploring AI-powered wellness platforms.
- Tools Used: MonkeyLearn, Tidio HR Chatbots.
Module 4: AI in Performance Management & Training (6 hours)
- AI in Employee Performance Tracking.
- AI-powered performance reviews.
- Predictive analytics for HR decision-making.
- AI for Personalized Employee Training.
- Adaptive learning platforms & AI skill assessments.
- Hands-on Activity: Using AI-powered learning platforms for skill assessment, Analyzing an AI-based HR performance dashboard.
- Tools Used: Coursera AI Skill Assessments, IBM Watson HR AI.
Module 5: Ethics & Challenges in AI-Driven HR (4 hours)
- Ethical AI in HR.
- Bias, fairness, and transparency in AI hiring.
- Privacy concerns in AI-driven HR.
- Hands-on Activity: Drafting ethical AI guidelines for an HR department, Case study: Ethical dilemmas in AI-powered hiring.
Final Project:
Objective:
Participants will design an AI-powered HR strategy for a hypothetical company, demonstrating their understanding of AI applications in HR.
Project Tasks:
- Identify a Company & HR Challenge (real or hypothetical).
- Propose AI-Driven Solutions (e.g., AI resume screening, sentiment analysis, AI-driven performance tracking).
- Use at Least Two AI Tools for analysis (e.g., AI resume screeners, HR sentiment analysis).
- Create a Presentation or Report showcasing AI’s impact on HR functions.
Project Timeline:
- Research & Planning: Identify HR challenges & research AI solutions.
- Tool Application & Data Analysis: Use AI tools for recruitment, engagement, or performance management.
- Solution Development & Presentation: Document findings and prepare the final report.
Deliverables:
- Presentation or report on AI-driven HR strategy.
- Demonstration of AI tool usage (screenshots or recorded video).
