The Generative AI in Human Resources course helps learners understand how AI is transforming recruitment, employee engagement, learning and development, performance management, and workforce planning. Today, HR teams need faster hiring support, better employee insights, personalized learning, and fairer people decisions. Therefore, practical GenAI skills are becoming important for future-ready HR roles.
Through this course, learners explore how Generative AI can support candidate sourcing, resume screening, job description creation, onboarding, employee surveys, sentiment analysis, learning pathways, performance analytics, and DEI initiatives. In addition, the course connects AI concepts with real HR use cases.
Moreover, learners understand both the opportunities and responsibilities of using AI in people management. As a result, participants become better prepared to apply GenAI ethically and effectively in modern HR workflows.
By completing this Generative AI in Human Resources course, learners will understand how AI can improve recruitment, employee experience, learning, performance management, and strategic HR decision-making.
Overall, this course helps learners empower people, enhance performance, and redefine HR with Generative AI.
Empower People, Enhance Performance - Redefining HR with Generative AI.
The Generative AI in Human Resources curriculum is divided into nine practical learning sections. Each section helps learners understand how Generative AI, HR technology, people analytics, employee experience, and responsible workforce management work together.
In addition, the course begins with GenAI fundamentals and gradually moves toward recruitment, employee engagement, learning and development, performance analytics, DEI, and strategic HR applications. As a result, learners build both conceptual clarity and practical HR-focused AI skills.
This section introduces Generative AI and explains why it has become important across industries. It also helps learners understand the history, limitations, and ethical concerns connected with AI adoption.
As a result, learners build a strong foundation before moving into advanced AI applications in HR and people management.
Large Language Models are central to many modern GenAI applications. Therefore, this section explains how models such as GPT, BERT, T5, and PaLM work behind the scenes.
In addition, learners understand how LLMs can be used responsibly in HR communication, employee support, recruitment, and people analytics workflows.
This section introduces popular AI tools and platforms used across professional domains. Instead of focusing only on theory, learners understand how different tools support HR, productivity, learning, and business goals.
Moreover, this section helps learners choose suitable GenAI tools for recruitment support, employee communication, learning content, and HR process improvement.
Prompt engineering helps professionals get better results from AI tools. This section focuses on writing clear prompts, designing useful tasks, and reducing weak or misleading outputs.
Consequently, learners become more confident in using AI tools for HR documentation, communication, recruitment content, onboarding support, and employee learning tasks.
AI must be used with responsibility, fairness, and professional judgment. Therefore, this section explores the ethical and legal boundaries of Generative AI.
Furthermore, learners understand why fairness, transparency, privacy, and accountability are especially important in AI-enabled HR decisions.
Generative AI can improve workplace productivity when used correctly. This section explains how professionals can use AI as a practical assistant for communication, documentation, and collaboration.
As a result, learners understand how AI can support everyday work before applying it to advanced HR and people-management tasks.
This section connects Generative AI with recruitment, candidate sourcing, screening, and hiring support. Learners explore how AI can improve hiring efficiency while maintaining fairness and human judgment.
In addition, this section shows how AI can help HR teams save time, improve consistency, and support better recruitment decisions.
Employee experience improves when learning, communication, and support are personalized. Therefore, this section focuses on how GenAI can strengthen engagement, onboarding, and learning culture.
Moreover, learners understand how AI can help organizations create more responsive, inclusive, and employee-focused HR experiences.
Strategic HR requires data-driven decision-making, performance clarity, and ethical workforce planning. This section explores how AI can support performance management and long-term people strategy.
Finally, learners understand how to use AI responsibly for smarter, fairer, and more efficient people management.
The Generative AI in Human Resources course is suitable for learners and professionals who want to understand how AI can improve recruitment, learning, engagement, performance management, and workforce transformation.
Therefore, this course is ideal for learners who want practical exposure to AI-powered HR workflows and future-ready people-management skills.
Learners receive structured course resources, practical exposure, and certification support throughout the program. In addition, the course provides learning material that helps participants revise concepts and apply them beyond the classroom.
Furthermore, these resources help learners understand how AI-powered HR solutions are used in recruitment, onboarding, employee engagement, learning, performance management, and workforce planning.
The project submission process helps learners apply HR and Generative AI concepts in a practical and structured way. Therefore, participants complete project work to demonstrate their understanding, originality, and professional application.
First, explore the project topics available in the LMS. Review the project description, learning outcomes, and required skills before selecting your topic.
If required, ask your guide or mentor for support. After that, finalize your topic and begin your project work.
Once your project report is complete, follow the project submission guidelines for formatting, font, spacing, citations, and originality.
Your report will go through a plagiarism check. Therefore, keep the work original, properly structured, and clearly written.
Finally, upload your final PDF report and any supporting files to the LMS.
After submission, your project is evaluated by an organization mentor and an internal faculty supervisor.
The evaluation focuses on report quality, depth of understanding, concept application, problem-solving skills, professional behaviour, and timely submission. In some cases, a viva or presentation may also be required.
Credits may be awarded as per applicable UGC NEP 2020 guidelines. In addition, your internship certificate will be issued after report approval, evaluation completion, and uploading of the required organization certificate.
Thereafter, learners can download the internship completion certificate directly from the LMS.
After completing the Generative AI in Human Resources course, learners will be ready to apply Generative AI across key HR processes, including hiring, engagement, learning, performance analytics, and workforce planning.
In addition, participants will understand how AI can support fairer recruitment, personalized learning, employee insights, DEI initiatives, and strategic people decisions.
Overall, this course prepares learners to become AI-enabled HR professionals who can support smarter, fairer, and more efficient people management in the AI era.
Explore Internship Courses – Benefits and Offerings to understand how SkillGroom programs support practical learning, project submission, certification, and career-focused development.
Also, learners can browse related GenAI internship courses to build wider expertise in finance, marketing, HR, operations, data science, IoT, cybersecurity, and AI foundations.
Finally, choose the course that best matches your career goals and begin building practical skills for the future of HR and work.