Offered by Indian Institute of Technology Delhi
A live, 8-month IIT Delhi executive certificate for professionals and career-changers to build applied AI skills—Python, ML, Deep Learning, MLOps and cloud deployment—through hands-on labs and a capstone.
Indian Institute of Technology Delhi
This executive certificate from CEP, IIT Delhi delivers applied skills across the AI lifecycle: from Python and mathematical foundations to supervised/unsupervised learning, deep learning and model deployment. The curriculum balances instructor-led live online sessions with hands-on tutorials, industry case studies and a practical capstone project to ensure implementation-readiness.
Designed for working professionals and career changers, the programme emphasises deployment and MLOps—containerisation (Docker), API frameworks (FastAPI/Flask), and cloud deployment (AWS)—so learners can move models from prototype to production. An optional one-day campus immersion at IIT Delhi complements the online learning with direct faculty interaction and peer networking.
Key highlights and core differentiators that set this program apart.
E-certificate issued by CEP, IIT Delhi
75+ hours of live teaching by IIT Delhi faculty
End-to-end deployment & MLOps (Docker, FastAPI, AWS)
Real-world capstone with track options (Generative AI, Healthcare, Time-series, Recommender)
Optional one-day campus immersion at IIT Delhi
Core capabilities, strategic skills, and managerial frameworks you will acquire.
Essential delivery mode, timeline, and candidate eligibility at a glance.
Comprehensive breakdown of course modules, masterclasses, and hands-on projects.
Introduction to Python
Control Flow (Conditionals, Loops)
Functions and Modules
Data Structures (Lists, Dictionaries, Sets, Tuples)
Object-Oriented Programming
Error Handling
Libraries Overview (NumPy, Pandas, Matplotlib)
Scientifics Computing and Graphing
Learning Outcomes
Develop proficiency in writing Python programs to solve computational problems.
Understand core programming concepts such as data types, control flow, functions, and OOP principles.
Manipulate data structures such as lists, dictionaries, and sets efficiently.
Utilise key Python libraries (NumPy, Pandas, Matplotlib) for data manipulation and visualisation.
Debug and handle errors in Python programs effectively.
File parsing and web scraping for real-world data collection.
Complete hands-on mini-projects like a Python Web Scraper and Data Cleaner Script.
Linear
Fundamentals of Optimisation
Least-square Approximation
Eigenvalues and Eigenvectors
Special Matrices
Singular Value Decomposition
Gradient Calculus
Statistics
Introduction to Probability
Descriptive statistics
Foundations of Probability
Probability Distribution
Inferential statistics
Learning Outcomes
Clean and preprocess raw datasets by handling missing values and outliers
Normalize and standardize data for consistent model input
Apply feature selection and dimensionality reduction techniques
Encode categorical variables and engineer new features
Balance imbalanced datasets to improve model fairness
Use basic SQL queries to extract, filter, and join data from structured databases
Data Cleaning Techniques
Data Normalization & Standardization
Feature Selection
Dimensionality Reduction
Handling Categorical Variables
Feature Engineering
Balancing Datasets
Learning Outcomes
Build supervised models for regression and classification tasks
Implement popular ML algorithms like Decision Trees, SVM, KNN, Naive Bayes
Use ensemble methods including Random Forest and Gradient Boosting
Apply advanced models like XGBoost and LightGBM for high performance
Combine models using stacking and blending for better accuracy
Evaluate models using metrics like accuracy, F1-score, and ROC-AUC
Tune models using cross-validation and hyperparameter search
- Apply concepts in a real-world mini-project: Credit Risk Classifier
Supervised Learning (Linear, Logistic Regression)
Classification Algorithms (Decision Trees, KNN, Naive Bayes, SVM)
Ensemble Methods (Random Forest, Gradient Boosting)
Clustering Algorithms (K-means, DBSCAN)
Model Evaluation Metrics
Cross-Validation
Hyperparameter Tuning
Neural Networks Basics
Training Neural Networks
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Telecommunication customer churn data analysis
Healthcare Applications
Stock Market Prediction using time series data
Natural Language Processing (NLP)
GenAI & Agent Projects
Introduction to Model Deployment
Containerization with Docker
API Frameworks (FastAPI)
Cloud Deployment (AWS)
Model Monitoring and Management
MLOps Principles/Techniques
Offer track-wise capstone options:
Generative AI project
AI in Healthcare
Forecasting using Time Series
E-commerce Recommender System
The list of Assignments, Case Studies, and Projects is indicative in nature and may be modified at the discretion of the Programme Coordinator.
Format, class schedules, campus immersion details, and evaluation criteria.
Sunday · 10:00 AM – 1:00 PM · Weekly · Live online sessions (Direct-to-Device)
Spend one day at IIT Delhi engaging directly with faculty and peers.
The programme includes an optional one-day campus immersion at the IIT Delhi campus. This is an opportunity to meet faculty in person and engage in focused academic discussions. It is designed to complement your online learning experience with in-depth, real-time interaction.You will also connect with fellow learners, share insights, and reflect on what you have learned so far. This short but meaningful visit helps you link online concepts to real-world conversations and experience the academic environment of one of India’s top institutes.
Travel and accommodation charges will be borne by the learners. IIT Delhi will not be responsible for the same.
Eligibility criteria, work experience requirements, and admission steps.
Key application deadlines, batch commencement dates, and intake schedules.
| Application Deadline | 7 November 2026 |
|---|---|
| Program Start Date | 14 November 2026 |
| Last Date to Apply Online (Dates and Fees table) | 27 September 2025 — Listed in Dates and Fees table (Last Date to Apply Online: 27th September, 2025). |
| Programme end (approx.) | 2026-4 — Dates and Fees table lists Programme End Date as April 2026 (month-only). |
Tuition fees, flexible installment schedules, and available financing options.
| Fee or instalment | Amount | Due date / terms | Notes |
|---|---|---|---|
| Programme Fee | ₹1,94,000 | — | Programme Fee as listed in Fees table; GST additional. |
| GST@18% | ₹34,920 | — | GST applicable as per FeesPaymentContent. |
| Total Fees (example with GST) | ₹2,28,920 | — | Total shown in FeesPaymentContent (Programme Fee + GST example). |
| Application Fee** | ₹1,000 | To be paid at the time of Application | Application Fee is non-refundable and will not be adjusted in the total programme fee. |
| I (instalment) | ₹65,000 | Within one week of offer-rollout | — |
| II (instalment) | ₹64,500 | 6th December, 2026 | — |
| III (instalment) | ₹64,500 | 6th January, 2027 | — |
- Candidates can withdraw within 15 days from the programme start date: 80% of the total fee received will be refunded; applicable tax amount paid will not be refunded on the paid amount.
Common queries about the program, admissions, curriculum, and policies.
This CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment runs for 8 months and includes live online sessions, tutorials, capstone project, and optional campus immersion.
Anyone with a Graduate or Diploma (10+2+3) qualification from a recognised university can apply for the data science course offered by CEP, IIT Delhi.
This CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment course is delivered online through live lectures, supported by tutorials and hands-on projects.
This CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment course includes Python programming, data cleaning, supervised and unsupervised learning, neural networks, natural language processing, and model deployment using cloud tools, Docker, and industry-relevant MLOps practices.
The applied data science and artificial intelligence programme offered by CEP, IIT Delhi, uses live online sessions, real case studies, hands-on tutorials, and a capstone project.
Yes, the CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment online course offers an optional one-day campus immersion.
This CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment course offers a flexible learning format with practical exposure to AI tools, real-world datasets, and deployment frameworks.
Yes.
The fee details for CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment are available on the course page. Payment can typically be made in instalments.
- Duration: 8 months - Mode: Online, live sessions
CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment focuses on skill development and professional certification.
- Certificate: Issued by the institute upon successful completion - Note: Placement assistance or job guarantees are not offered by the institute
CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment stands out with its institute-backed curriculum and practical focus.
CEP, IIT Delhi Certificate Programme in Applied Data Science and Artificial Intelligence: From Fundamentals to Deployment is designed for working professionals looking to upskill.
Successful Completion Certificate issued by CEP, IIT Delhi for candidates with minimum 50% overall marks and at least 50% attendance; participants who meet attendance but not the mark threshold receive a Certificate of Participation. Only e-certificates will be issued.
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About the primary institute
The Indian Institute of Technology Delhi (IIT Delhi) is one of India’s leading public institutes of technology, established in 1961 and recognised for world-class engineering, science and interdisciplinary research. Designated an Institution of Eminence, the institute combines rigorous undergraduate and postgraduate programmes with high-impact research centres, extensive industry partnerships and a strong track record of technological innovation and entrepreneurship.
Located in the Hauz Khas area of South Delhi, IIT Delhi’s urban campus offers a vibrant academic environment with modern laboratories, specialised research schools, residential hostels, sports and cultural facilities, and multiple satellite campuses (Sonipat and Jhajjar) as well as an emerging international campus in Abu Dhabi. The institute’s accomplished faculty, global collaborations and an influential alumni network of technologists, entrepreneurs and public leaders sustain its reputation as a national and international centre of excellence.