One Year Online PG Certification in

Artificial Intelligence & Machine Learning

“The Power of Intelligence. The Future of Technology.”

Learners gain expertise in Python programming, core and advanced machine learning algorithms, neural networks, NLP, and generative AI development. The curriculum includes hands-on projects using tools like TensorFlow, LangChain, AutoGPT, and CrewAI, focusing on real-world deployment and AI system integration through MLOps. The program is designed to build end-to-end capability in developing, deploying, and managing intelligent systems — empowering graduates and professionals to lead AI-driven innovation across industries.

Program Duration

1 Year | 2 Semesters | Online

Eligibility

Any UG degree recognised by UGC

Capstone Project

AI Model Deployment with Generative or Neural Network Systems (MLOps Integrated)

Fees

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

Admissions Open

November 2025

Program Starts

June 2026

Target Group

Graduates and professionals from any background aspiring to build AI and ML expertise.
Data analysts, engineers, developers, and IT professionals looking to transition into AI-focused roles.
Researchers, academicians, and educators exploring applied machine learning and generative AI.
Entrepreneurs and consultants aiming to implement AI-driven automation and analytics in business.
Anyone passionate about mastering deep learning, NLP, and AI deployment systems.

Skills Gained

Industry–ready learning: Practical assignments and a 6-credit capstone project in Generative AI or NLP deployment.
Full-spectrum curriculum: From Python and Machine Learning to Generative AI, NLP, AI Agents, and MLOps.
Cutting-edge Tools: TensorFlow, Scikit-learn, LangChain, CrewAI, and AWS/GCP integration.
Flexible Learning: 100% online with live classes, recorded LMS modules, and guided mentorship.
Electives for Specialization: Computer Vision, FinTech, Healthcare AI, Recommender Systems, or Time Series Forecasting.
Credential from SRIHER (DU): Recognized university certification with rigorous assessment and academic excellence.
Mentorship Support: Academic and industry mentors for research and career guidance.

Curriculum

Semester I

Courses:

Python for AI & ML using NumPy, Pandas & Scikit-learn (4 Credits)
Mathematical Foundations for AI (Linear Algebra, Calculus & Optimization) (4 Credits)
Core Machine Learning Algorithms for Predictive Modeling & Classification (4 Credits)
Neural Networks & Deep Learning (TensorFlow, CNNs, RNNs, Auto encoders) ( 4 Credits)
Prompt Engineering & Generative AI Model Development (LLMs & APIs) ( 4 Credits)

Semester II

Courses:

Advanced NLP & Large Language Models (GPT, BERT, RAG) – 4 Credits
AI Agents & Multi-Agent Systems using LangChain, AutoGPT & CrewAI – 2 Credits
MLOps & AI System Deployment (AWS, Azure, GCP) – 4 Credits
Elective: Computer Vision / FinTech / Time Series Forecasting / Healthcare AI / Recommenders – 4 Credits
Capstone Project: Generative AI, NLP or Neural Network Deployment with MLOps Pipeline – 6 Credits
AI Automation & Intelligent Process Systems (AutoGPT, CrewAI, LangChain) – 2 Creditss)

Learning Experience

Interactive webinars and self-paced LMS modules
Real-world case studies and simulations
Capstone project with industry integration
Access to AI tools and frameworks (LangChain, AutoGPT, TensorFlow, etc.)

Award

Postgraduate Certificate in Artificial Intelligence & Machine Learning from SRIHER

Career Opportunities

AI & ML Roles: AI Engineer, ML Engineer, Deep Learning Specialist, NLP Engineer
Generative AI: Prompt Engineer, LLM Developer, AI Content Engineer
MLOps & Cloud: MLOps Engineer, AI Deployment Specialist, Cloud AI Developer
Automation & Agents: AI Workflow Developer, LangChain Engineer, CrewAI Specialist
Analytics & Business: AI Product Manager, Analytics Consultant, Decision Science Specialist
Research & Governance: AI Researcher, Responsible AI Specialist, AI Governance Auditor

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 & Choices	Marks	Total Marks
Multiple Choice Questions (MCQs)	2×20	40
Short Answers (6 out of 8)	5×6	30
Essay Type Questions (Internal Choice)	15×2	30
Total		100

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

Ms. B. Mahalakshmi MCA.

Assistant Professor, SRIHER (DU)

Has more than 5 years of teaching experience in Computer Science as well as mentoring and developing curriculum. She holds an MCA degree from the University of Madras, which built a solid foundation in programming, software engineering, and principles of IT. This academic foundation in technical subjects and analytical skills assures that she can build a bridge between theory and practice, enabling her to instruct students effectively and contribute to curriculum development.

Ms. Thenmozhi Ezhilarasan BE.

Faculty Member, SRIHER (DU)

Brings three years of diverse experience spanning startups, SMEs, and corporate environments. She has worked as a Content Writer and Editor at Brain Insights and Eumaxindia Private Limited; a Senior Process Associate at Han Digital Solutions. As a senior process associate, she has efficiently managed and optimized operational processes. Working as a Team Lead she has mentored many individuals and helped them attain the respective industry skills.