UG Certification in Generative AI for Human Resources (HR)
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The UG Certification in Generative AI for Human Resources (HR) is a one-year program designed to equip undergraduate students with the knowledge and skills required to apply generative AI technologies in the HR field. As AI continues to transform industries, this program prepares students to harness its potential in various HR functions such as recruitment, talent management, employee engagement, and performance optimization.
The curriculum covers the integration of AI in HR workflows, including AI-powered recruitment tools, automated resume screening, personalized employee experiences, and AI-based decision-making processes. Students will also explore topics like employee sentiment analysis, predictive analytics for talent management, and the ethical considerations of AI in HR.
With a focus on hands-on learning, the program includes practical projects, real-world case studies, and industry-specific applications, giving students the opportunity to develop and implement AI-driven HR solutions. By the end of the program, students will be well-prepared to apply AI in human resource management, making them ready for careers in AI-powered HR roles, talent acquisition, and HR analytics.
Key Skills Developed
Who is the programme for?
The UG Certification in Generative AI for Human Resources (HR) is designed for undergraduate students who are interested in combining artificial intelligence with human resources management. This program is ideal for students pursuing careers in HR, talent management, or organizational development, who want to specialize in leveraging AI to optimize HR processes.
It is also suited for students with an interest in data analytics, automation, and digital transformation within HR functions. Whether you're aiming to work in recruitment, employee engagement, performance management, or HR analytics, this program provides the skills needed to apply generative AI to improve HR operations and enhance decision-making.
The program is perfect for students looking to pursue innovative roles in AI-driven HR solutions and gain a competitive edge in the evolving HR landscape.
How will you study?
In the UG Certification in Generative AI for Human Resources (HR), you will study through a combination of interactive learning and hands-on experience:
- Live Online Classes: Engaging, instructor-led sessions where you can ask questions, participate in discussions, and gain deeper insights into AI applications in HR.
- Pre-recorded Lectures: Self-paced learning modules that allow you to study at your own convenience, ensuring flexibility to revisit key topics and reinforce learning.
- Practical Projects: Real-world HR challenges where you'll apply AI-driven tools and techniques, such as automating recruitment processes, conducting sentiment analysis, and optimizing employee engagement strategies.
- Industry Case Studies: In-depth analysis of how AI is transforming HR in leading organizations, giving you the chance to understand practical applications and best practices.
- Hands-on Labs: Practical sessions where you’ll work with AI tools to perform tasks like data analysis, candidate screening, and creating AI-powered HR solutions.
- Collaborative Work: Group projects and discussions that simulate real-world HR environments, helping you develop teamwork and problem-solving skills.
- Capstone Project: A final project where you will create a comprehensive AI-based HR solution, allowing you to showcase your skills and knowledge acquired during the program.
- Mentorship & Support: Ongoing guidance from industry experts to help with specific queries, feedback on projects, and career advice.
This combination of structured learning, practical application, and expert guidance ensures that you gain both theoretical knowledge and hands-on experience in using AI to optimize HR processes.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning (SSML) is committed to maintaining the highest academic and industry standards, supported by endorsements from globally recognized organizations such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These esteemed accreditations ensure that SSML’s initiatives align with international benchmarks, guaranteeing academic excellence and relevance in the rapidly evolving AI landscape.
In addition to these accreditations, SSML is proud to announce strategic collaborations with several distinguished academic and research institutions, as well as leading organizations across various industries. These partnerships enhance the institution's offerings, providing students with unparalleled access to cutting-edge AI research, development, and industry applications.
Key Collaborations Include:
- Ambaincip School of Business: Renowned for its focus on business innovation and entrepreneurship, Ambaincip contributes to developing AI-powered solutions to address real-world business challenges, helping students apply AI in practical business contexts.
- Narsamma School of Finance and Blockchain: This collaboration focuses on advancing AI applications within the financial sector, with a particular emphasis on blockchain, cryptocurrency, and decentralized finance (DeFi), empowering students to lead financial innovations through AI.
- Monappa School of Quantum Computing: Partnering in the realm of quantum algorithms and quantum machine learning, this collaboration offers students the opportunity to explore the intersection of quantum computing and AI, addressing complex issues that were previously unsolvable.
- Kamber School of Researchers: A research-driven institution at the forefront of pioneering AI research and development, Kamber School offers students the chance to engage in collaborative research projects with leading AI experts.
- BlackwellAi - LaB Innovation: A cutting-edge innovation lab dedicated to AI and machine learning technologies, BlackwellAi fosters the creation of AI solutions across various industries, advancing SSML’s commitment to solving global challenges with AI-driven innovations.
Impact of Collaborations:
This extensive network bridges the gap between academia, research, and industry, fostering a multidisciplinary approach to AI and machine learning development. With expertise in sectors such as finance, blockchain, quantum computing, and business innovation, SSML ensures its students receive a well-rounded education that integrates both theoretical knowledge and practical applications.
The collaborations also guarantee that SSML’s curriculum remains aligned with global standards and frameworks, including Artificial General Intelligence (AGI) and MACUL’s Machine Learning and Computational Learning guidelines, ensuring that students are equipped with the highest academic rigor while staying relevant to the dynamic global AI landscape.
Graduate Outcomes:
Graduates of SSML are equipped with both technical expertise and industry experience to drive innovative AI solutions. The institution’s emphasis on real-world applications and ethical considerations prepares students to make significant contributions to the rapidly evolving AI sector. With globally recognized credentials and world-class learning experiences, SSML graduates are prepared to lead AI innovations in various industries and create transformative impacts.
Location
Hybrid Mode
Duration
24 Months
Intakes
January, April, June & September 2025
Tuition Fees
Rs 45,000/ -
The UG Certification in Generative AI for Human Resources (HR) is a one-year program designed to equip undergraduate students with the skills needed to integrate generative AI technologies into modern HR practices. This program focuses on how AI can be used to enhance HR processes, such as recruitment, employee engagement, performance management, and talent acquisition.
The curriculum combines theoretical learning with practical experience, teaching students how to utilize AI-driven tools like natural language processing, machine learning algorithms, and generative models to automate tasks, improve decision-making, and create personalized employee experiences. Topics covered include AI-powered recruitment, predictive analytics for talent management, employee sentiment analysis, and AI ethics in HR.
Throughout the program, students will engage in hands-on projects, industry-specific case studies, and collaborative work, providing them with the practical skills needed to implement AI in HR workflows. By the end of the program, students will be well-prepared to apply generative AI solutions in HR roles, ready for careers in AI-driven talent management, HR analytics, and employee experience optimization.
Programme Structure and Electives
The UG Certification in Generative AI for Human Resources (HR) follows a structured curriculum designed to provide both foundational knowledge and practical experience in applying AI to HR processes. The first phase of the program focuses on the basics of AI technologies, including machine learning, natural language processing, and generative models, and their applications in recruitment, talent acquisition, and employee engagement. Students will learn to use AI tools for automating HR tasks, analyzing employee sentiment, and developing predictive models for talent management. In the second phase, the program emphasizes real-world application through hands-on projects, case studies, and collaboration, where students will work on developing AI-driven HR solutions and optimizing existing HR processes. The program ensures students gain both theoretical insights and practical experience, making them well-prepared for AI-driven roles in HR management upon completion.
Core Periods Modules
The UG Certification in Generative AI for Human Resources (HR) follows a structured curriculum designed to provide both foundational knowledge and practical experience in applying AI to HR processes. The first phase of the program focuses on the basics of AI technologies, including machine learning, natural language processing, and generative models, and their applications in recruitment, talent acquisition, and employee engagement. Students will learn to use AI tools for automating HR tasks, analyzing employee sentiment, and developing predictive models for talent management. In the second phase, the program emphasizes real-world application through hands-on projects, case studies, and collaboration, where students will work on developing AI-driven HR solutions and optimizing existing HR processes. The program ensures students gain both theoretical insights and practical experience, making them well-prepared for AI-driven roles in HR management upon completion.
- Period 0
Foundations of Generative AI in Human Resources
Defining Generative AI: Capabilities and Differences from Discriminative AI Evolution of AI in HR: From Automation to Cognitive Enhancement Key Generative AI Tools for HR: ChatGPT, IBM Watsonx Orchestrate, Google Gemini Use Cases in HR: Enhancing Recruitment, Engagement, and Training Ethical Foundations: Addressing Bias and Fairness in AI-Driven HR Measuring ROI: Evaluating AI’s Impact on HR Efficiency and Outcomes
- Period 1
Advanced Prompt Engineering for HR Applications
Principles of Prompt Engineering: Zero-Shot vs. Few-Shot Techniques Writing Prompts for Recruitment: Job Descriptions and Candidate Screening Optimizing Onboarding: Generating Personalized Employee Welcome Plans Designing Training Content: AI-Generated Learning Modules and Quizzes Performance Management: Creating Feedback Templates with AI Mitigating Prompt Pitfalls: Ensuring Accuracy and Relevance in Outputs
- Period 2
Ethical AI Adoption in HR: Challenges and Best Practices
Identifying Bias in AI Outputs: Risks in Hiring and Performance Reviews Ensuring Data Privacy: Compliance with GDPR and Other Regulations Transparency in AI Use: Communicating with Employees and Stakeholders Fairness in AI-Driven Decisions: Avoiding Discrimination in HR Processes Building Trust: Strategies to Address Employee Concerns About AI Governance Frameworks: Establishing Policies for Responsible AI Use
- Period 3
AI-Enabled Talent Management and Workforce Planning
AI in Recruitment: Automating Resume Screening and Interview Questions Personalized Onboarding: Using AI to Tailor Employee Experiences Skill Gap Analysis: AI-Driven Insights for Workforce Development Predictive Analytics: Forecasting Talent Needs with Generative Models Employee Engagement: Generating Surveys and Analyzing Sentiment Succession Planning: AI Tools for Identifying and Nurturing Future Leaders
- Period 4
Building an AI-Enabled HR Team for the Future
Upskilling HR Teams: Training Staff to Use Generative AI Tools Collaborative AI Workflows: Human-AI Partnership in HR Decision-Making Change Management: Leading AI Adoption Across HR Functions Measuring Team Performance: AI-Generated Metrics and Dashboards Scaling AI Use: From Pilot Projects to Organization-Wide Implementation Future Trends: Preparing for Next-Generation AI in HR Innovation
- Period 5
Industry Work Experience (6 Months), 2 Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.
Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
Your Future Career at TheSSML
Professionals will be equipped with the strategic and technical expertise required to lead AI initiatives across industries. As AI continues to play an increasingly pivotal role in business transformation, participants will be well-positioned for career opportunities in top technology companies, consulting firms, and multinational corporations that are integrating AI into their core operations.
Furthermore, TheSSML provides comprehensive career support, including personalized coaching, exclusive networking opportunities, and access to premium job openings within its global network. Professionals will also be eligible for opportunities with the Ambaincip School of Business, where they can apply their AI expertise to lead and innovate in high-growth, business-driven environments.
Secure Your Job at Ambaincip School of Business After Completing UG Certification in Generative AI for Human Resources (HR) at TheSSML
Upon successful completion of the TensorFlow Developer Professional Specialization at TheSSML, you will gain exclusive access to exciting career opportunities in collaboration with the Ambaincip School of Startups. This partnership offers professionals a unique platform to apply their TensorFlow expertise and deep learning knowledge to real-world challenges within a dynamic, innovation-driven environment. Ambaincip School of Business is committed to empowering graduates with the skills to lead AI-driven projects, optimize TensorFlow solutions, and drive meaningful advancements in the AI and machine learning industry. With the advanced knowledge and practical experience gained through this specialization, you will be well-prepared to take on senior roles, manage deep learning initiatives, and contribute to the success and evolution of forward-thinking organizations worldwide.
Secure Your Job at Ambaincip School of Business
TheSSML: Your Gateway to Innovation
At TheSSML, we cultivate a culture of curiosity, creativity, and collaboration, empowering individuals to solve complex real-world problems and contribute meaningfully to the advancement of technology. Whether you are a student, professional, or researcher, TheSSML is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Fees & Admissions
Entry Requirements
Company Experience
- A minimum of 1 years of experience at a company is required, particularly in roles where you have gained exposure to AI or technology-driven projects.
- Experience in driving strategic business initiatives, AI implementations, or related fields is highly valuable.
Academic Qualifications
- A strong honours degree or its equivalent from a recognised institution.
- A compelling personal statement that showcases
- A pronounced interest in business.
- Theambition to explore beyond the confines of their initial degree discipline.
- Anaptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 45,000/ -
International Applicants: $ 527.15
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
Our Application Process at TheSSML
At TheSSML, we have simplified the application process to ensure a smooth and efficient entry into our academic community. Our clear, step-by-step application process is designed to help you prepare and submit your application with ease.
For those who might not meet the aforementioned academic criteria for the Executive Programme, consideration will be based on individual merit. Additionally, candidates who do not meet the set academic or language standards may still be eligible for entry upon successful completion of TheSSML Executive Premasters Award.
How to ApplyTop-Tier Education at TheSSML
Double Your Reach
Gain exclusive access to TheSSML's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
TheSSML is dedicated to providing high-quality education with internationally recognized certifications, ensuring that you gain a competitive edge in the global job market.
Post-Study Career Opportunities
International students at TheSSML may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
TheSSML collaborates with leading industry players, including tech giants and global corporations, to provide students with access to cutting-edge technologies, real-world learning experiences, and exciting career prospects.
Learn From the Very Best at TheSSML
At TheSSML, you will be taught by distinguished faculty members who are leaders in their fields. Our professors bring a wealth of experience from renowned global institutions and top-tier companies such as Amazon, the United Nations, IBM, Deloitte, Accenture, and Microsoft. Their extensive industry knowledge and academic expertise will provide you with the insights and practical skills needed to thrive in the dynamic world of machine learning and AI.
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TheSSML Partners with AICTSD And MACUL
At The Standard School of Machine Learning (TheSSML), our programmes are enhanced through prestigious accreditations and partnerships with leading organizations such as MACUL (Michigan Association for Computer Users in Learning) and AICTSD (All India Council for Technical Skill Development). These collaborations ensure our courses meet global industry standards and incorporate cutting-edge advancements in artificial intelligence and machine learning. The partnership with MACUL brings a rigorous framework for curriculum quality and academic excellence, while AICTSD fosters skill development and practical exposure through workshops, certifications, and real-world projects. By aligning with these esteemed bodies, TheSSML guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
TheSSML Alumni Survey
At TheSSML, we are dedicated to equipping our students with the knowledge and skills needed to launch successful careers in the AI and machine learning industries. Our alumni are well-prepared to make a meaningful impact in the professional world, with many securing positions at leading global companies.
Alumni Survey (2022)
91%
of ourgraduates secured employment within six months of graduation
84%
of students received job offers before completing their programme
72%
of our alumni hold managerial or senior positions in prominent organisations
79%
of our graduates earn a competitive salary ranging from ₹8 lakhs to ₹12 lakhs per annum