Executive Program in AI-Enabled Human Capital Management

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Executive Program in AI-Enabled Human Capital Management

COURSE OVERVIEW

The AI-Enabled Human Capital Management course helps HR professionals, talent leaders, students, and business managers understand how Generative AI is transforming modern people management. Today, HR teams need smarter hiring, faster workforce insights, personalized learning, and data-driven performance support. Therefore, AI skills are becoming increasingly important for future-ready HR roles.

Through this course, learners explore how GenAI supports recruitment, candidate evaluation, onboarding, employee engagement, learning and development, performance analytics, workforce planning, and DEI initiatives. In addition, the course connects AI concepts with practical HR use cases.

Moreover, learners understand both the opportunities and responsibilities of using AI in human capital management. As a result, participants become better prepared to apply Generative AI ethically and effectively across important HR processes.

WHAT YOU'LL LEARN

By completing this AI-Enabled Human Capital Management course, learners will understand how Generative AI can improve recruitment, employee experience, learning, performance management, and strategic HR decisions.

Use Generative AI to streamline recruitment and candidate evaluation
Design personalized employee learning and engagement programs with AI
Apply predictive analytics for workforce planning and performance management
Understand ethical, compliance, and DEI considerations in AI-driven HR
Explore practical GenAI use cases for modern human capital management

Overall, this course helps learners empower people, enhance performance, and redefine HR with Generative AI.

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

CURRICULUM

The AI-Enabled Human Capital Management 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.

Module 1: Introduction to Generative AI and Its Evolution

Topics Covered:

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.

Meaning of Generative AI
History and milestones in AI development
Traditional AI versus Generative AI
Key drivers such as big data, compute power, and neural networks
Real-world applications of GenAI
Limitations and ethical considerations

As a result, learners build a strong foundation before moving into advanced AI applications in HR and human capital management.

Module 2: Fundamentals of Large Language Models (LLMs)

Topics Covered

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.

Transformers and attention mechanism
GPT, BERT, T5, and PaLM comparisons
Training versus inference
Prompt engineering basics
Zero-shot, few-shot, and fine-tuning approaches
Responsible use of LLMs

In addition, learners understand how LLMs can be used responsibly in HR communication, employee support, recruitment, and people analytics workflows.

Module 3: Generative AI Tools and Platforms

Topics Covered

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.

ChatGPT, Claude, Bing AI, and GitHub Copilot
Image generation tools such as DALL·E, Midjourney, and Stable Diffusion
AI tools for video, music, and voice
Open-source and proprietary GenAI tools
Tool selection based on professional goals

Moreover, this section helps learners choose suitable GenAI tools for recruitment support, employee communication, learning content, and HR process improvement.

Module 4: Prompt Engineering and Task Design

Topics Covered

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.

Anatomy of an effective prompt
Zero-shot, few-shot, and structured prompting strategies
Task types such as summarization, translation, and code generation
Tool-specific prompting examples
Reducing hallucinations and bias through prompt tuning

Consequently, learners become more confident in using AI tools for HR documentation, communication, recruitment content, onboarding support, and employee learning tasks.

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

Topics Covered

AI must be used with responsibility, fairness, and professional judgment. Therefore, this section explores the ethical and legal boundaries of Generative AI.

AI hallucinations and misinformation
Plagiarism and content ownership concerns
Bias and fairness in LLMs
AI and job displacement
Global perspectives on AI regulation
Responsible AI frameworks, including OECD and EU AI Act references

Furthermore, learners understand why fairness, transparency, privacy, and accountability are especially important in AI-enabled HR decisions.

Module 6: GenAI in Everyday Productivity & Collaboration

Topics Covered

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.

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

As a result, learners understand how AI can support everyday work before applying it to advanced HR and human capital management tasks.

Module 7: Talent Acquisition & Recruitment with GenAI

Topics Covered

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.

AI-powered candidate sourcing
Resume screening with GenAI support
Job description and competency mapping using AI
Automated interview question generation
Evaluation support for structured hiring decisions
AI in campus recruitment use cases

In addition, this section shows how AI can help HR teams save time, improve consistency, and support better recruitment decisions.

Module 8: Employee Engagement & L&D with GenAI

Topics Covered

Employee experience improves when learning, communication, and support are personalized. Therefore, this section focuses on how GenAI can strengthen engagement, onboarding, and learning culture.

Personalized learning pathways using GenAI assistants
AI chatbots for employee queries and onboarding
AI-powered surveys and pulse checks
Sentiment analysis for employee engagement
Continuous learning culture supported by AI

Moreover, learners understand how AI can help organizations create more responsive, inclusive, and employee-focused HR experiences.

Module 9: Performance Management & Strategic HR

Topics Covered

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.

AI-assisted goal setting and OKR alignment
Predictive workforce analytics for attrition and retention
Productivity insights using responsible AI methods
AI-driven diversity, equity, and inclusion initiatives
Ethical and compliance concerns in AI-driven HR

Finally, learners understand how to use AI responsibly for smarter, fairer, and more efficient people management.

Live and Interactive Workshop on GenAI

This course includes a live and interactive GenAI workshop led by an expert trainer. Through this workshop, learners get real-time exposure to GenAI tools, techniques, and practical use cases across different domains.

In addition, the workshop helps learners connect course concepts with hands-on practice. Whether learners choose a generic GenAI course or a specialized track such as finance, marketing, HR, data science, cybersecurity, IoT, or operations, the workshop adds practical value to the certification journey.

See real-world GenAI applications through live demonstrations
Practise AI tools through guided hands-on activities
Interact with expert trainers and clarify important concepts
Understand how GenAI can be applied in work, studies, and projects
Build confidence to use AI tools in practical professional situations

As a result, this live workshop makes the certification more practical, industry-ready, and valuable for learners who want applied exposure to Generative AI.

WHO SHOULD ENROLL

The AI-Enabled Human Capital Management course is suitable for learners and professionals who want to understand how Generative AI can improve recruitment, learning, engagement, performance management, and workforce transformation.

Moreover, the course is useful for people who want to build future-ready skills in HR technology, people analytics, employee experience, and responsible AI use in human capital management.

HR professionals, talent acquisition specialists, and L&D managers
People analytics and HR technology enthusiasts
Organizational leaders and consultants focused on workforce transformation
Students and professionals aspiring to build AI-augmented HR careers
Business leaders interested in smarter people management with AI

Therefore, this course is ideal for learners who want to apply AI more confidently in modern HR and people-management roles.

WHAT YOU'LL GET

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.

Industry-recognized certification upon completion
Live and interactive workshop on GenAI
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
Online access to course content

Furthermore, these resources help learners understand how AI-powered HR solutions are used in recruitment, onboarding, employee engagement, learning, performance management, and workforce planning.

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

After completing the AI-Enabled Human Capital Management 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.

KNOW MORE ABOUT

Explore Skilling Courses – Benefits and Offerings to understand how SkillGroom programs support practical learning, certification, career growth, and professional development.

Also, learners can browse related GenAI courses to build wider expertise in artificial intelligence, data science, finance, marketing, cybersecurity, operations, IoT, and business strategy.

Finally, choose the course that best matches your career goals and begin building practical skills for the future of HR and work.

SkILLING COURSES - BENEFITS AND OFFERINGS