Certificate Programme In Data Science AI and Machine Learning (formerly known as Certificate Programme in Data Science and Machine Learning) (Batch 12)
Features
Programme Overview
The CEP, Indian Institute of Technology Delhi (IIT Delhi), presents a comprehensive six-month online Certificate Programme in Data Science, AI, and Machine Learning. This industry-oriented programme equips you with the expertise to transform data into actionable insights and build powerful predictive models. Master sought-after skills in data manipulation, analysis, and machine learning algorithms, including Python programming, statistics, deep learning, and data visualisation. Whether you are a working professional seeking to upskill, a graduate aiming to stand out, or an individual passionate about data analysis, this programme is designed for you.
As machine learning adoption continues to grow rapidly across industries, DSML is evolving from focusing on predictive models towards a more democratised, dynamic, and data-centric discipline.
In the Union Budget for FY 2024–25, the allocation for the Ministry of Electronics and Information Technology (MeitY) was increased by 52% to ₹21,936 crore (approximately USD 2.7 billion), compared with the revised estimate of ₹14,421.25 crore in the previous fiscal year (FY 2023–24).
The Indian analytics industry is projected to scale to USD 98 billion by 2025 and nearly USD 119 billion by 2026. Currently, the demand for data scientists is at an all-time high in India. Analysts have predicted around 11 million job openings in data science by 2026 in India alone.
According to Analytics Insights, India will capture 32% of the global big data market worldwide and generate USD 20 billion by 2026.
The Data Science and Machine Learning market size is expected to grow at an annual growth rate (CAGR 2024–2030) of 17.15%, resulting in a market volume of USD 528.10 billion by 2030 (Statista).
₹ 1,50,000 + 18 % GST
Registration Closed
Class Schedule
Every Sunday 10 AM - 1 PM, starting July 19, 2026
Eligibility Criteria
Graduates (10+2+3)/ Diploma Holders (10+2+3 or higher) from a recognised university in any discipline as on June 26, 2026. A minimum score of 50% in mathematics/statistics, in 12th Examination.
Programme Highlights
Learn From The Faculty Of IIT Delhi, One Of India’s Leading Engineering Institutions.
Experience High-impact, Live Learning And Assess Real-world Case Studies.
Gain Structured, Industry-oriented Insights And Work On Real-world Datasets.
Participate In Peer-to-peer Learning And Expand Your Professional Network.
Receive An E-certificate From CEP, IIT Delhi (Ranked 4 Th Overall, NIRF 2025).
Benefit From An Industry-oriented Curriculum That Includes Generative AI.
Programme Modules
Fundamentals of Python*
Fundamentals of Mathematics—Linear Algebra/Probability
Measures and Descriptors of Data, Distributions and Estimation
Basics of Data Basis
Exploratory Data Analysis
Hypothesis Testing and Evaluation
Data and Information Systems
Storytelling with Data
Designing Business Dashboards
Optimisation Formulations
Gradient and Search-Based Optimisation for Machine Learning
Linear, Quadratic, and Non-Linear Programming
Multi-objective and Multi-criteria Decision-making - Evolutionary Tools
Regression and Derivatives
Trees and Random Forests
Boosting Techniques
Clustering—Hierarchical K-means Clustering
Dimensionality Reduction: PCA
Deep Feedforward Neural Nets
Convolutional Neural Nets
Long Short-Term Memory (LSTM) Networks
Introduction to Transformers and Attention Mechanisms
Explainable AI
Self-Learning Project: CNN Model for Land Use
VAEs
GANs
Diffusion Models
Introduction to Large Language Models
Applications of Generative AI
Understand Agentic AI and RAG
Self-Learning Project: Generative AI
Learning Outcomes
Build predictive models using neural networks and time series forecasting models.
Develop an in-depth understanding of industry best practices for regression, clustering, decision trees, and deep learning.
Hone optimisation techniques to minimise errors and build precise models, mastering data science excellence.
Gain hands-on experience in machine learning algorithms, the statistical models behind them, and their real-world applications.
Acquire an understanding of deep learning and generative AI, including CNNs, LSTMs, GANs, Gen AI applications, large language models, and concepts such as Agentic AI and RAG.
Tools
Tableau
Python
SQL
Pandas
Num Py
Gen AI
Programme Coordinator
Professor Hariprasad Kodamana
Associate Professor
Department of Chemical Engineering Joint Faculty
School of AI, Indian Institute of Technology, Delhi
Dr Hariprasad Kodamana is a PhD from IIT Bombay, where he received the Institute Award for Excellence in PhD thesis. His research interests include machine learning, optimisation, model-based control, fault detection and diagnosis. His research work has been published in various notable international peer-reviewed journals and presented in leading conferences.
Professor Agam Gupta
Associate Professor
Department of Management Studies Associate Faculty
School of AI, Indian Institute of Technology, Delhi
Dr Agam Gupta is a fellow of the Indian Institute of Management Calcutta (IIM Calcutta). His research areas include platform ecosystems, digital marketing, computational social science, and complexity. He has taught various courses on data visualisation and data mining. His research work has featured in reputed international journals and conferences proceedings.
Professor Manojkumar Ramteke
Professor
Department of Chemical Engineering Associate Faculty
School of AI, Indian Institute of Technology, Delhi
Manojkumar Ramteke is a PhD from the Department of Chemical Engineering, IIT Kanpur. His research areas include Modeling and Optimization, Machine Learning, Process Sustainability, Ecosystem Services, Process Planning and Scheduling. He has published several research papers in these areas and has also co-authored a book on optimization.
Programme Sample Certificate
Participants will be awarded a successful completion certificate from IIT Delhi on scoring at least 50% marks on aggregate in any two out of three quizzes, need to satisfactorily complete a group project, and maintaining a minimum attendance of 70%. Participants who are unable to maintain 50% marks in the evaluation components, but have a minimum attendance of 85%, shall be awarded a participation certificate.
Installment Schedule
Programme Fee INR 1,50,000 + 18% GST
Instalment | Remarks | Amount |
Instalment 1 | Within 5 days post-selection | INR 15,000 + GST |
Instalment 2 | 18th July, 2026 | INR 37,500 + GST |
Instalment 3 | 29th August, 2026 | INR 52,500 + GST |
Instalment 4 | 28th October, 2026 | INR 45,000 + GST |
Note:
GST will be additional as applicable.
Refund Policy
Candidates can withdraw within 15 days from the Programme Start Date. A total of 80% of the total fee received will be refunded. However, the applicable tax amount paid will not be refunded on the amount paid.
If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.in and iitd.execed@emeritus.org, stating your intent to withdraw. The refund, if applicable, will be processed within 30 working days from the date of receiving the withdrawal request.
Testimonials
Frequently asked questions
IIT Delhi’s (CEP) Data Science AI and Machine Learning Programme is a comprehensive online certification programme designed to equip learners with in-depth knowledge of data science, machine learning, artificial intelligence, and related technologies.
This programme is best suited for:
Early and mid-level Professionals interested in gaining a relevant and cutting-edge perspective on data science and ML for better career prospects.
Professionals who oversee software development and machine learning projects with a keen interest in developing a data-driven decision-making approach and those looking to apply data science and ML to enhance their business growth.
Yes, IIT Delhi's (CEP) Data Science AI and Machine Learning (DSAIML) Programme integrates data science, machine learning (ML), and artificial intelligence (AI) as interconnected fields. These disciplines complement each other to analyse and derive insights from large datasets. While each field serves unique purposes and employs different methods, this programme covers all three, enabling you to gain a holistic understanding and practical expertise.
Yes, Python is a key component of the Programme covering data manipulation, analysis and machine learning. Fundamentals of Python will be taught via recorded sessions. The faculty will be conducting Q/A on the same.
Key topics include:
Module 1: Data Science Foundations
Module 2: Communicate insights through Data Storytelling & Business Intelligence
Module 3: Optimisation for Machine Learning
Module 4: Machine Learning
Module 5: Deep Learning
Module 6: Understand Gen AI & LLMs
While the programme focuses on skill-building, it will offer networking opportunities and career support to help participants advance their careers. While job placement assistance will be available to all registered learners, the primary focus will be on candidates with 0-5 years of experience. The job placement assistance will extend for 3 months from the start date of the programme.
The programme stands out due to:
Expert faculty from IIT Delhi.
A curriculum designed to align with industry demands.
Hands-on projects and tools to enhance practical learning.
A globally recognised certification.
To enrol, click on "Apply Now," complete the application form, upload the required documents, and submit your application for the programme.