Certificate Course in AI & ML - SRM Online
The Certificate Course in Artificial Intelligence and Machine Learning (AI & ML) from SRM Online is a 3-month program that introduces learners to the core concepts, algorithms, and practical techniques powering modern AI systems. Designed for students in computer science, engineering, and mathematics, as well as entry-level data analysts and software developers with basic programming knowledge, the course covers the full AI/ML pipeline — from data collection and preprocessing through regression, classification, clustering, neural networks, deep learning, and model evaluation. Practical training is conducted using Python, and learners complete a capstone project building a basic AI/ML model. The course is delivered fully online in English and is UGC entitled, AICTE recognized, and backed by the NAAC A++ accreditation of SRM Institute of Science and Technology, ranked 12th in MHRD-NIRF. Learners gain a strong foundational understanding of AI applications across business, healthcare, and robotics, along with the hands-on skills needed to build and deploy machine learning models.
English
Not specified
Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
3 Months
₹ 7,000
Overview
The Certificate Course in AI & ML (Artificial Intelligence and Machine Learning) is a 3-month online program from SRM Institute of Science and Technology, delivered through its Directorate of Online Education. SRM is ranked 12th in MHRD-NIRF, accredited NAAC A++, and holds a 4-Star Diamond rating from QS-IGAUGE, making it one of India's most credentialed institutions for technology education. This certificate is UGC entitled and AICTE recognized, and is designed for students and early-career professionals who want to build a solid foundation in AI and ML. The curriculum spans the complete machine learning pipeline — from data collection and preprocessing through to model development, evaluation, and deployment — with practical training conducted in Python and a capstone project that produces a working AI/ML model. Industry case studies from business, healthcare, and robotics domains ensure that the learning is grounded in real-world application.
Why Technology & Analytics?
Artificial Intelligence and Machine Learning are among the fastest-growing fields in technology, with demand for skilled practitioners far outpacing supply across industries globally. This course from SRM Online provides a structured, beginner-accessible entry point into AI/ML backed by one of India's top-ranked universities. Unlike generic online tutorials, the course is built around a complete curriculum with a defined learning trajectory — from fundamentals through to model deployment — supported by Python-based practical training and real industry case studies. The capstone project gives learners a tangible output to demonstrate their capabilities. For students in computer science, engineering, and related fields, or for developers and analysts looking to transition into AI roles, this certificate offers a credible, time-efficient pathway backed by institutional recognition.
What does this course have to offer?
Key Highlights
3-month certificate from NAAC A++ accredited SRM Institute
UGC entitled and AICTE recognized certification
8 structured modules covering the full AI/ML pipeline
Practical training using Python throughout the course
Capstone project: building a basic AI/ML model
Industry case studies from business, healthcare, and robotics
Dedicated career services and placement assistance
Interested in career outcomes and specializations?
Who is this programme for?
UG/PG students in Computer Science, Engineering, and Mathematics
Entry-level data analysts and software developers looking to upskill
Anyone with basic programming knowledge, preferably Python
Professionals seeking to transition into AI and machine learning roles
Minimum Eligibility
10+2 from any recognized board including NIOS, or any degree with a pass with 50% in qualifying exams
Basic programming knowledge preferred, preferably Python
Grade sheet upload of 10th and 12th required
Passport size photograph required
Online entrance and/or online interview
Not sure whether you qualify for this programme?
Who is the programme for?
Admission to the Certificate Course in AI & ML follows SRM Online's standard four-step process. Applicants must hold a minimum qualification of 10+2 from any recognized board including NIOS, or any undergraduate or postgraduate degree, with at least 50% marks in qualifying examinations. Basic programming knowledge, preferably in Python, is recommended as a practical prerequisite. Required documents include grade sheets for 10th and 12th standards, a passport-size photograph, and a valid passport for international applicants. Shortlisted candidates may be required to complete an online entrance assessment and/or an online interview. Successful candidates receive a formal selection intimation and complete fee payment to confirm enrolment.
Selection process
How to apply?
Curriculum
The curriculum spans 8 modules that build AI and ML proficiency systematically from foundational theory to applied project work. The program opens with the fundamentals of artificial intelligence, establishing the conceptual framework for the field. It then moves into machine learning basics, covering the distinction between supervised and unsupervised learning paradigms. Data-handling skills are developed in a dedicated module on collection, cleaning, and preprocessing. Core algorithm categories — regression, classification, and clustering — are covered next, followed by an introduction to neural networks and deep learning architectures. The curriculum then addresses model evaluation metrics and hyperparameter tuning before exploring AI/ML applications across business, healthcare, and robotics domains. The program culminates in a capstone project in which learners build and demonstrate a functional AI/ML model.
There are 8 semesters in this course
The first module introduces the fundamentals of artificial intelligence — its history, definitions, subfields, and the distinction between narrow and general AI. Module two covers machine learning basics, comparing supervised learning (where models learn from labelled data) and unsupervised learning (where models identify patterns in unlabelled data), with an overview of key algorithm families in each paradigm. Module three is dedicated to data collection, cleaning, and preprocessing — covering techniques for handling missing values, encoding categorical variables, feature scaling, and train-test splitting. Module four covers the three primary algorithm categories in depth: regression techniques for continuous prediction, classification algorithms for discrete output tasks, and clustering methods for grouping unlabelled data. Module five introduces neural networks and deep learning, covering perceptrons, activation functions, backpropagation, and the architecture of deep networks including CNNs and RNNs. Module six addresses model evaluation and optimization — accuracy, precision, recall, F1 score, cross-validation, and hyperparameter tuning strategies. Module seven explores real-world applications of AI and ML across business analytics, healthcare diagnostics, and robotics, grounding the technical content in industry context. The final module is a project in which learners design, build, train, and evaluate a basic AI/ML model using Python, consolidating skills from across the program.
Fundamentals of Artificial Intelligence
Machine Learning Basics – Supervised and Unsupervised Learning
Data Collection, Cleaning, and Preprocessing
Regression, Classification, and Clustering Techniques
Introduction to Neural Networks and Deep Learning
Evaluation Metrics and Hyperparameter Tuning
Applications in Business, Healthcare, and Robotics
Project – Building a Basic AI/ML Model
Programme Length
3 months. The course is delivered fully online with a flexible schedule, allowing learners to complete the program in 3 months at their own pace.
Tuition Fee
The Certificate Course in AI & ML is offered at a competitive one-time fee with separate structures for domestic and international applicants. The domestic fee is Rs 7,000 for the full 3-month program, while the international fee is USD 125. Payment is made in full at the time of enrolment confirmation. All transactions must be processed through the official university payment gateway. No instalment or EMI options are disclosed for this program.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
The course is delivered through SRM Online's advanced LMS platform, combining structured module content with Python-based practical exercises and industry case studies spanning business, healthcare, and robotics. Learners work through the full machine learning pipeline in a hands-on environment and complete a capstone project that produces a working AI/ML model. An AI-based student support system available 24x5 and a comprehensive helpdesk provide academic and technical assistance throughout the program. Dedicated career services help learners connect their newly acquired AI/ML skills to professional opportunities in the rapidly growing field.
University Experience
SRM Institute of Science and Technology, formerly SRM University, is one of India's foremost technology-focused universities — ranked 12th in MHRD-NIRF, accredited NAAC A++, and recognized with a 4-Star Diamond rating by QS-IGAUGE. The Directorate of Online Education delivers UGC entitled and AICTE recognized programs that carry strong academic and professional credibility. SRM's long-standing presence in engineering and technology education, active industry partnerships, and extensive alumni network make it a trusted institution for learners entering the AI and data science space.
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About the University
Established in 1985, SRMIST is one of India's leading private universities located in Kattankulathur, Chennai. The university operates across multiple campuses offering diverse programs through various schools including Engineering, Medicine, Management, Science & Humanities, Law, and Agricultural Sciences. With over 52,000 students and 3,200+ faculty members, SRMIST has established itself as a comprehensive institution known for academic excellence, research innovation, and industry integration.
#1001-1200
QS World Ranking 2025
#18
NIRF University Rank 2024
52000
Total Students
Affiliation & Recognition
UGC
NAAC
AICTE
NBA
Career services
SRMIST serves as the central hub for career development, interpersonal skills enhancement, and placement activities. It maintains strong industry linkages and facilitates continuous institute-industry interaction through pre-placement training, industrial exhibitions, seminars, and alumni activities. The center provides comprehensive infrastructure for recruitment activities including pre-placement talks, written tests, group discussions, and interviews. Students receive intensive coaching in personality development and leadership qualities, along with specialized training programs to ensure they are market-ready by graduation.
52 LPA
Highest Package 2024
980+
Total Recruiters 2024
2232+
High Paying Offers
Top Recruiters
Course Start Date:
July, 2026
Application Deadline:
Closing Soon
Duration:
3 Months
₹ 7,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.