Generative AI in Human Resources

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Generative AI in Human Resources

COURSE OVERVIEW

Unlock the future of human capital management with Generative AI in Human Resources. This course helps HR professionals understand, adopt, and apply AI to transform the way organizations attract, engage, and retain talent.
From automating recruitment and performance tracking to building a data-driven, inclusive workplace culture discover how GenAI can elevate every HR function with precision and personalization.

WHAT YOU'LL LEARN

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

Leverage Generative AI to streamline recruitment and candidate evaluation.
Design personalized employee learning and engagement programs with AI.
Use predictive analytics for workforce planning and performance management.
Address ethical, compliance, and DEI considerations in AI-driven HR practices.

Empower People, Enhance Performance - Redefining HR with Generative AI.

CURRICULUM

Module 1: Introduction to Generative AI and Its Evolution

Topics Covered:

Discover what makes Generative AI revolutionary. Learn about its origins, evolution, and impact on industries.

What is Generative AI (GenAI)?
History and milestones in AI development
Traditional AI vs Generative AI
Key drivers: Big data, compute power, neural networks
Real-world applications
Limitations and ethical considerations

Module 2: Fundamentals of Large Language Models (LLMs)

Topics Covered

Understand how LLMs like GPT and BERT work behind the scenes and their responsible use.

How LLMs work (Transformers, Attention Mechanism)
GPT, BERT, T5, PaLM – comparisons & use cases
Training vs Inference
Prompt engineering basics
Zero-shot, few-shot, fine-tuning
Responsible use of LLMs

Module 3: Generative AI Tools and Platforms

Topics Covered

Explore the most popular and powerful AI tools used worldwide.

ChatGPT, Bard, Claude, Bing AI, GitHub Copilot
Image generation: DALL·E, Midjourney, Stable Diffusion
AI for video, music, and voice
Open-source vs Proprietary GenAI tools
Tool selection based on your goals

Module 4: Prompt Engineering and Task Design

Topics Covered

Master the art of writing precise prompts and designing AI-driven tasks.

Anatomy of a good prompt
Prompting strategies: Zero-shot, few-shot, chain-of-thought
Task types: summarization, translation, code generation, etc.
Tool-specific prompting examples (ChatGPT, Claude, Bard)
Avoiding hallucinations and bias via prompt tuning

Module 5: Ethical, Legal, and Societal Implications of GenAI

Topics Covered

Understand the moral and professional boundaries of using AI responsibly.

AI hallucinations, plagiarism, misinformation
Bias and fairness in LLMs
Copyright and content ownership
AI and job displacement
Global perspectives on AI regulation
Responsible AI frameworks (OECD, EU AI Act)

Module 6: GenAI in Everyday Productivity & Collaboration

Topics Covered

Turn AI into your productivity partner and workplace assistant.

Writing, summarization, and content creation with AI
AI in Excel, PowerPoint, CRM, and Docs
Workflow automation with Zapier and Make
AI for meetings, brainstorming, and reporting
Chatbots and virtual assistants

Module 7: Talent Acquisition & Recruitment with GenAI

Topics Covered

Explore how AI revolutionizes hiring through smarter sourcing, assessment, and automation.

AI-powered candidate sourcing and resume screening
Job description and competency mapping using GenAI
Automated interview question generation & evaluation support
Case study: AI in campus recruitment

Module 8: Employee Engagement & L&D with GenAI

Topics Covered

Learn how GenAI enhances employee experience, learning, and organizational culture.

Personalized learning pathways using GenAI assistants
AI chatbots for employee queries & onboarding
AI-powered surveys, sentiment analysis & pulse checks
Case study: AI for continuous learning culture

Module 9: Performance Management & Strategic HR

Topics Covered

Discover how AI supports data-driven HR decision-making and ethical workforce management.

AI-assisted goal setting and OKR alignment
Predictive workforce analytics (attrition, retention, productivity)
AI-driven diversity, equity & inclusion (DEI) initiatives
Ethical and compliance concerns in AI-driven HR

WHO SHOULD ENROLL

HR professionals, talent acquisition specialists, and L&D managers
People analytics and HR tech enthusiasts
Organizational leaders and consultants focusing on workforce transformation
Students and professionals aspiring to build AI-augmented HR careers

WHAT YOU'LL GET

Industry-recognized certification upon completion.
Hands-on exposure to AI tools for recruitment, L&D, and performance management
Templates and frameworks for AI-driven HR strategies
Real-world HR case studies, Expert mentorship and guided assignments
Access to Course Content

PROJECT SUBMISSION

Choose Your Project Topic

- Explore the project topics available in the LMS.
- Check the project description, learning outcomes, and required skills.
- Ask your guide/mentor if you need help selecting a topic.
- Finalize your topic and proceed.

Submit Your Project

- Follow the Project Submission Guidelines (format, font, spacing, citations).
- Your report will go through a plagiarism check, so keep it original.
- Upload your final PDF report and any supporting files to the LMS.

Project Evaluation

- Your project is evaluated by:
  - Organization Mentor
  - Internal Faculty Supervisor
- They assess you on:
  - Quality and clarity of your report
  - Depth of understanding
  - Application of concepts to real tasks
  - Problem-solving skills
  - Professional behaviour and timely submission
  - Viva/Presentation (if required)
- Credits (2–4) are awarded as per UGC NEP 2020 guidelines.

Certificates & Results

- Your Internship Certificate will be issued after:
  - Report approval
  - Evaluation completion
  - Uploading the organization certificate
- Download your Internship Completion Certificate directly from the LMS.

OUTCOME

By completing this course, you’ll be ready to:

Lead digital transformation in HR.
You’ll gain the ability to apply Generative AI across key HR processes, from hiring and engagement to performance analytics – ensuring smarter, fairer, and more efficient people management in the AI era.