The "Introduction to Generative AI in Human Resources" course is designed to provide you with a foundational understanding of how cutting-edge AI technologies are transforming the field of human resources. As the role of HR continues to evolve, leveraging generative AI presents exciting opportunities for professionals to enhance recruitment, employee engagement, and overall organizational efficiency. This course will demystify the complex world of AI, making it accessible and applicable to HR professionals, business leaders, and those interested in learning more about the intersection of AI and human resources.
Introduction to Generative AI in Human Resources
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Introduction to Generative AI in Human Resources
This course is part of Human Resources Management and GenAI Specialization
Instructor: Ridhi Arora
2,582 already enrolled
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4.6
(32 reviews)
Beginner level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
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Shareable certificate
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Assessments
5 assignments
Taught in English
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This course is part of the Human Resources Management and GenAI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This module introduces you to the course and builds a conceptual foundation in Generative AI for Human Resources. You’ll begin by orienting yourself to the course structure and learning goals, then explore how Generative AI is reshaping HR functions such as recruitment, talent management, and employee engagement. Through introductory readings, videos, and guided dialogue, you’ll gain the essential context and understanding required to appreciate AI’s role in transforming HR efficiency and innovation.
What's included
4 videos2 readings1 assignment
This lesson delves into the specific applications of AI in recruitment, such as resume screening, candidate shortlisting, and chatbot interactions. You will explore practical examples of how AI can automate and enhance hiring processes, reducing bias, and improving recruitment outcomes.
What's included
2 videos2 readings1 assignment
In this lesson, you will explore how AI technologies can enhance employee experiences through personalized communication, onboarding, and continuous performance management. The lesson provides a practical look at how AI-driven tools can improve employee engagement and satisfaction within the workplace.
What's included
3 videos1 reading1 assignment
This lesson tackles the ethical implications of using AI in HR, addressing key issues such as bias, fairness in hiring, and data privacy. Through real-world case studies, you will gain the skills to identify potential risks and develop strategies to mitigate these challenges, ensuring responsible AI implementation in HR practices.
What's included
2 videos2 readings2 assignments
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4.0 (13 ratings)Offered by
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4.6
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AR
4
Reviewed on Apr 13, 2025
Would be nice to have a human intervention for the practical trainings. Thank you.
RA
5
Reviewed on Feb 13, 2025
This course for Generative AI in Human Resources is very Insightful.
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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