Applied AI for Human Resources

Applied AI for Human Resources: The virtual workforce and a global economy have made it challenging for HR departments to monitor employee motivation and satisfaction. However, data scientists and engineers may now produce significant insights to enhance hiring, training, retention, and more thanks to artificial intelligence. This seminar examines how big data and AI may benefit HR. In the field of human resources, consider the following three important use cases: forecasting staff attrition, mapping collaboration, and formulating training suggestions. Instructor Kumaran Ponnambalam gathers and processes data for each of these use cases, creates machine learning models, and forecasts important outcomes using programmes like Python, Jupyter Notebooks, TensorFlow, and Keras. He also gives a brief explanation of how to create models that can carry out other typical HR duties, like forecasting future performance, interviewing candidates, and even monitoring morale. A few recommended practises are covered in the course’s conclusion, including how to handle security and privacy issues specific to HR.

Learning Objective: By the end of the course “Applied AI for Human Resources”, learners will be able to:

1. Understand the foundational concepts of artificial intelligence (AI) and its applications in the field of human resources.
2. Identify and evaluate the potential use cases of AI in various HR functions, such as recruitment, talent management, employee engagement, and performance management.
3. Explore the ethical considerations and challenges associated with using AI in HR, including bias, privacy, and transparency, and develop strategies to mitigate these risks.
4. Learn how to effectively implement and manage AI-based HR technologies, including selecting appropriate AI tools and platforms, integrating them into HR processes, and measuring their impact on HR outcomes.
5. Analyze real-world case studies and examples of AI adoption in HR to gain practical insights into best practices, lessons learned, and success factors for deploying AI in HR settings.
6. Develop critical thinking skills to assess the benefits and limitations of AI in HR, and make informed decisions on when and how to use AI technologies based on organizational and ethical considerations.
7. Collaborate with peers through group discussions, case studies, and practical exercises to apply AI concepts in HR scenarios and develop innovative solutions for HR challenges using AI techniques.
8. Stay updated with the latest trends and developments in AI and HR, and engage in continuous learning to adapt to the evolving landscape of HR technology and AI applications.