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Contact Us
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One Year Online PG Certification in

Artificial Intelligence & Data Science

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“The Intelligence Behind Innovation. The Future of Decision - Making.”

Learners develop expertise in Python programming, applied statistics, data wrangling, visualization, and machine learning for predictive analytics. The curriculum emphasizes real-world applications through projects, workflow automation, and responsible AI frameworks using tools like ChatGPT, LangChain, and Power BI. With practical exposure to generative AI, automation, and capstone projects, learners gain end-to-end skills in AI-driven decision systems. The program empowers learners to transition into data-centric roles or upskill within their current domains through end-to-end exposure to AI-driven business solutions.

Learners develop expertise in Python programming, applied statistics, data wrangling, visualization, and machine learning for predictive analytics. The curriculum emphasizes real-world applications through projects, workflow automation, and responsible AI frameworks using tools like ChatGPT, LangChain, and Power BI. With practical exposure to generative AI, automation, and capstone projects, learners gain end-to-end skills in AI-driven decision systems. The program empowers learners to transition into data-centric roles or upskill within their current domains through end-to-end exposure to AI-driven business solutions.

Program Duration

1 Year | 2 Semesters | Online

Eligibility

Any UG degree recognised by UGC

Capstone Project

AI-Driven Predictive Analytics & Visualization using Power BI and ChatGPT APIs

Fees

INR 40,000 (Indians)
USD 681 (International candidates)

Admissions Open

November 2025

Program Starts

June 2026

Download Brochure

Target Group

  • Graduates from any discipline seeking foundational and advanced knowledge in AI, Machine Learning, and Data Science.
  • Working professionals in IT, analytics, finance, healthcare, operations, or business intelligence aiming to leverage AI-driven predictive analytics.
  • Researchers, academicians, and data enthusiasts exploring AI applications, workflow automation, and generative AI solutions.
  • Entrepreneurs, consultants, and business leaders looking to implement AI-powered dashboards, automation, and analytics tools for decision-making.
  • Anyone interested in mastering AI agents, generative AI tools (ChatGPT, Gemini, Claude), and business-focused AI applications.

Skills Gained

  • Industry-ready learning: Practical labs, real datasets, 6-credit capstone AI dashboard project.
  • Full-spectrum curriculum: Python, statistics, data wrangling, visualization, machine learning, generative AI, AI agents, and responsible AI governance.
  • Flexible delivery: Live synchronous classes + recorded LMS content + ChatGPT/Gemini/Claude integration.
  • Elective specialization: Marketing, Finance, HR, Healthcare, or Operations Analytics with AI-enhanced tools.
  • Credential from SRIHER (DU): Continuous internal assessment + end-semester exams.
  • AI Mentorship” and “Career Guidance Support” as unique differentiators.

Curriculum

Semester I

Courses:

  1. Python for Data Science & AI (with ChatGPT & Jupyter Integration) (4 Credits)
  2. Applied Statistics & Probability for Predictive Analytics using Power BI & Python (4 Credits)
  3. Data Wrangling & Visualization using Power BI, Tableau & AI Dashboards (4 Credits)
  4. Machine Learning for Business Analytics & Predictive Decision Systems ( 4 Credits)
  5. Generative AI & Prompt Engineering using ChatGPT, Gemini & Claude  (4 Credits)
Semester II

Courses:

  1. Artificial Intelligence Applications & Predictive Analytics for Business ( 4 Credits)
  2. Responsible AI, AI Audit & Governance for Data-Driven Organizations (2 Credits)
  3. AI Agents & Workflow Automation using LangChain & Zapier Integrations ( 4 Credits)
  4. Elective: Marketing / Finance / HR / Healthcare / Operations Analytics (Power BI + ChatGPT Support) ( 4 Credits)
  5. Capstone Project: AI-Driven Predictive Analytics & Visualization Dashboard (Power BI + ChatGPT APIs) ( 6 Credits)
  6. AI Automation Tools & Frameworks (RPA, LangChain, Zapier, Power Automate)  (2 Credits)

Learning Experience

  • Interactive webinars + self-paced modules
  • Digital simulations
  • Case studies in real classrooms or organisations
  • Access to curated resources and full LMS flexibility

Award

Postgraduate Certificate in Artificial Intelligence & Data Science from SRIHER

Artificial Intelligence & Data Science certificate

Career Opportunities

  • Data Science & Analytics: Data Scientist, Predictive Analytics Specialist, Business Intelligence Analyst, Data Analyst, Research Analyst.
  • AI & ML: AI Engineer, Machine Learning Engineer, NLP Engineer, Computer Vision Engineer, Generative AI Specialist, Prompt Engineer.
  • Big Data & Cloud: Cloud ML Developer, Data Engineer, AI Platform Engineer, MLOps Engineer, Data Pipeline Specialist.
  • Business & Consulting: AI Product Manager, Analytics Consultant, Business Analytics Manager, Decision Science Consultant, AI Strategy Advisor.
  • Automation & Workflow: Training and capacity-building specialist, NGO learning coordinator.RPA Developer, AI Workflow Automation Specialist, LangChain Developer, Power Automate Consultant, AI Integration Engineer.
  • Research & Ethics: Applied AI Researcher, AI Ethics Specialist, Responsible AI Auditor, AI Governance Specialist.
  • Domain Roles: Healthcare Analytics Specialist, Financial Data Analyst, Retail & E-commerce AI Specialist, Operations Analytics Consultant, Smart Cities & Sustainability Data Analyst.

Future Scope: With expertise in Python, AI, Machine Learning, Generative AI, predictive analytics, and AI automation tools, learners will be prepared for careers in data science, business analytics, AI engineering, edtech and analytics startups, consulting firms, and global technology organizations.

Course Delivery Mode: Fully Online

This course is designed to provide flexible, self-paced learning with structured support and engagement opportunities throughout the semester.

Key Components:

1. Self-Paced Learning; Self-Assessment

  • Students can progress through the course material at their own pace.
  • Includes self-assessment activities to monitor understanding and track progress.

2. Webinars

  • Two live webinars per semester per course.
  • Focused on clarifying key concepts, interactive discussions, and addressing student queries.

3. Review Sessions

  • Two review sessions per semester per course.
  • Designed to consolidate learning, discuss assignments, and provide feedback on performance.

Evaluation

  • Formative Assessment (Assignments/In-Course Evaluation): 30%
  • End Semester Examination: 70 marks (70%)
  • Total: 100 marks (100%)
Theory Question Paper Pattern for University Examinations
End of Semester Examination (ESE) Theory
Pattern & ChoicesMarksTotal Marks
Multiple Choice Questions (MCQs)2×2040
Short Answers (6 out of 8)5×630
Essay Type Questions (Internal Choice)15×230
Total100

Faculty & Mentors

Led by an exceptional team of faculty and mentors blending academic excellence with industry-relevant expertise:

Mentorship:

  • Renowned academicians and senior hospital administrators
  • Personalized support for academic, professional, and career guidance
Dr. A. Devendran
Dr. A. Devendran M.Sc., M.B.A., M.Phil., Ph.D.

Associate Professor, SRIHER (DU)

A dedicated academic leader and research mentor with over two decades of experience in data science, AI, and business intelligence. He has authored seven books, published 35+ indexed research papers, and presented at 20+ international conferences. His qualifications include a Ph.D., M.Phil., M.B.A., M.Sc., and B.Sc. in Computer Science, along with a Diploma in Business Analytics & AI from Virginia Tech (USA), multiple Coursera certifications, and NVIDIA deep learning courses.

Ms. K. SWETHA
Ms. K. Swetha MSc.

Assistant Professor, SRIHER (DU)

A dedicated academic and professional with a strong background in Biostatistics and Mathematics.  She holds a Master’s in Biostatistics from ICMR–National Institute of Epidemiology, affiliated with Periyar University. Her academic journey began with a Bachelor’s degree in Mathematics from Chevalier T. Thomas Elizabeth College, with First Class honours.