If you’re a human resources professional who wants to move beyond theory and truly understand how Generative AI works inside HR functions, this course is designed for you.

“Generative AI for Human Resource Professionals: Gen AI in HR” does not just show you prompts and tools. It takes you from understanding the current state of Generative AI to practically applying it across recruitment, employee engagement, and learning & development — while also addressing the critical risks of bias, hallucination, misuse, and data privacy.

We begin by grounding you in the fundamentals. You will understand what Generative AI actually is, how large language models function at a high level, and how these technologies are already reshaping HR workflows globally. You will also see a basic demonstration of running Generative AI code in Python so that you develop technical awareness — even if you are not from a coding background.

From there, the course moves into real HR applications.

In Recruitment & Selection, you will learn how Generative AI can help create compelling job descriptions and social media postings, evaluate resumes systematically, assist in interview preparation, and support candidate interactions. Most importantly, you will also learn how to monitor AI-generated outputs to ensure quality, fairness, and compliance in the hiring process.

In Employee Engagement, the course explores how AI can respond to employee queries related to HR policies using conversational systems. You will understand how Retrieval Augmented Generation (RAG) works — a powerful approach that allows AI systems to retrieve verified organizational documents before generating responses. A technical walkthrough is included to help you understand the architecture behind such systems.

The Learning & Development section goes deeper into designing AI-driven learning paths, creating personalized training journeys, and integrating Generative AI agents within L&D portals. You will also examine the real-world challenges of deploying AI in training environments, including content accuracy, skill mapping, and adoption resistance.

This course is not limited to theory. In the Practical Applications section, you will see demonstrations of running large language models locally and understand how enterprise tools such as Microsoft Copilot can be applied in HR scenarios.

Finally, the course addresses the most critical aspect of AI adoption: responsible implementation. You will learn how to analyze user inputs for actionable workforce insights, reduce bias and hallucination in AI responses, prevent misuse of generative systems, and protect sensitive employee information when integrating AI into organizational processes.

By the end of this course, you will be able to:

• Apply Generative AI in recruitment, engagement, and learning functions
• Understand how AI systems like RAG and LLMs function in HR use cases
• Evaluate AI outputs for bias, hallucination, and compliance risks
• Protect confidential HR data while deploying AI tools
• Lead responsible AI implementation initiatives within your organization

Generative AI is not just another HR technology trend. It is reshaping how HR creates value — from faster hiring decisions to personalized employee development at scale. This course equips you with both conceptual clarity and practical understanding so that you can confidently contribute to AI-led transformation in your organization.

If you want to stay ahead in HR and understand both the opportunity and responsibility that comes with Generative AI, enroll now and take the next step toward building AI-enabled HR capability.