IITM CCE Certification | Placement Support* by TalentSprint |

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IISc

By 2022, Data Scientists and Analysts will become top emerging roles.

Data Science will create 11.5 Million job openings by 2026.

AI early career professionals command up to ₹20 LPA.

3 Reasons Why This Programme is Unique

TickThe IIT Madras Advantage

  • Designed by RBCDSAI at IIT Madras, India’s #1 NIRF ranked institution
  • Taught by top researchers in Applied
    Data Science and Machine Intelligence
  • Certification from the Center for
    Continuing Education at IIT Madras
IITM Certificate

Cutting-edge Applied Learning

  • Hands-on curriculum with use cases, capstones for effective learning
  • Visit IITM Campus** and practise at RBCDSAI, India's top Applied Research Lab
  • Industry interaction with
    experienced professionals

The TalentSprint Advantage

  • Learn on TalentSprint’s
    patent-pending Digital Platform
  • Network with 3000+ TalentSprint
    Deep Tech Alumni
  • Get Dedicated Support for
    Enhanced Career Outcomes

About the Programme

Applied Data Science assumes a significant role in the backdrop of massive data generated from millions of devices. Currently, the daily data output is over 2.5 quintillion bytes, likely to touch 1.7 Mb of data per second per person on the planet in the future.

The 12-month PG Level Advanced Certification Programme in Applied Data Science and Machine Learning enables learners to build deep tech capabilities and apply their learnings to make data-driven business decisions for their organizations.

TalentSprint is offering this programme in partnership with the Robert Bosch Centre for Data Science and AI (RBCDSAI), India’s leading research hub at IIT Madras.

Participants will experience a unique learning process that includes masterclass lectures, hands-on labs, hackathons, workshops, industry interactions, and a campus visit for fast-track learning.


Offered in collaboration with IIT Madras

  • NIRFIndia’s #1 Institution - NIRF
    (2022)
  • QS RankingsQS World University Ranking (Asia) #50 (2021)
  • ARIIA Logo#1 by Atal Rankings of Institutions on Innovation Achievements, GoI

Indian Institute of Technology Madras (IIT Madras) is globally recognized for excellence in technical education, basic and applied research, innovation, entrepreneurship and industrial consultancy. Founded in 1959 with technical and financial assistance from the former government of West Germany, IIT Madras has been the top-ranked engineering institute in India for four consecutive years as well as the ‘Best Educational Institution’ in Overall Category in the NIRF Rankings by the Ministry of Human Resource Development. For more information visit www.iitm.ac.in

cce logo RUR logo The PG Level Advanced Certification Programme in Applied Data Science and Machine Learning will be delivered by the Robert Bosch Centre for Data Science and AI (RBCDSAI), one of India's pre-eminent interdisciplinary research centres for Data Science and AI with the largest network analytics, deep reinforcement learning, and the most active natural language processing and deep learning groups. The Centre was started to expand AI adoption in engineering applications and leverage the available expertise on network systems modelling across various Institute departments. The programme Certification will be awarded by the Centre for Continuing Education (CCE), IIT Madras that is committed to helping build national capabilities in science, technology, humanities, management, education and research.

RBCDSAI IIT MADRAS FOUNDATION


Curriculum


M0: Bridge Module

M1: Foundations of Data Science

  • Linear Algebra for Data Science
  • Optimization for Data Science
  • Probability and Statistics for Data Science

M2: Machine Learning: Foundations and Algorithms

  • Bayesian decision theory, K-Nearest Neighbors
  • Linear Regression, Ridge, LASSO
  • Linear Classification (Logistic Regression, Linear Discriminant Analysis)
  • Recap K-NN; Bias Variance tradeoff, cross-validation/ model selection
  • Evaluation methods (ROC, AUC, F-measure, etc.)
  • Naive Bayes, Decision tree
  • Ensemble Methods: Bagging, Random Forest, Gradient Boosting.
  • Perceptron, Intro to Support Vector Machines
  • SVM (soft margin/hard margin), Kernels (also Kernel Regression)
  • Clustering motivation, K-means/Hierarchical, GMM
  • Cluster validation, PCA, Dimensionality reduction
  • Association Rule Mining

M3: Machine Learning: Real-world use-cases in sectors and associated challenges

  • Use case: Finance
  • Use cases in Systems Biology & Health care
  • Introduction to big data in biology
  • Use Cases - Problem Statement, Model(s) intended to demonstrate, Dataset to be used during the demo, Dataset for the mini project,
  • Industry Use case – Health care with NLP
  • Industry Use case on HR Analytics, Employee performance prediction
  • M L–Use case (Software Engineering)

M4: Deep Learning: Foundation & Algorithms

  • Artificial Neural Networks
  • Optimization in Neural Networks
  • Basics of Hyper parameter optimization
  • Sigmoid Neurons, Gradient Descent, Feedforward Neural Networks, Representation Power of Feedforward Neural Networks, Gradient Descent (GD), Momentum Based GD, Nesterov Accelerated GD, Stochastic GD, AdaGrad, RMSProp
  • Adam
  • CNN - Part 1 and Part 2
  • GAN

Capstone Projects

  • Recommendation
    Systems
  • Object Recognition
    System
  • Digit Recognition
    System
  • Financial Fraud
    Detection System
  • Anomaly Detection in
    Manufacturing Systems
  • Urban Infrastructure
    Analytics
  • Healthcare
    Analytics
  • And
    more

Languages and Tools

Languages Languages

Detailed Curriculum

Learn from Leaders

The programme is designed by a distinguished faculty group bearing academic accreditation from premier institutions around the world.

Programme Director Dr. Arun Rajkumar
Machine Learning, Rank Aggregation, Statistical Learning, Sequential Decision Making

Ph.D., Computer Science and Automation, IISc

Assistant Professor at the Dept. of Computer Science & Engineering and core member of the Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras. Before joining IIT Madras, he worked as a research scientist at the Xerox Research Center (now Conduent Labs), Bangalore. His research interests include Machine Learning, Rank Aggregation, Statistical Learning and Sequential Decision Making.

Dr. Nandan Sudarsanam
Experimentation, Applied Statistics and Machine Learning

Ph.D., Engineering Systems, MIT, Cambridge, MA, USA

Faculty member in the Department of Management Studies, core member of the Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), and Co-Head of the American Express Lab for Data Analytics, Risk and Technology (DART) at IIT Madras. Before joining IIT Madras, Nandan worked as a quantitative researcher for five years at a high-frequency algorithmic trading firm in New York. His research and work experience focuses on applications of experimentation, machine learning and the abstraction of data to models and algorithms. This spans data and problems across different domains, including but not limited to finance, urban mobility, digital platforms, civic services, and criminology.

Dr. Nirav P. Bhatt
Machine Learning for Biological and Engineering Networks, Safe Reinforcement Learning

Ph.D., Computer, Communication and Information Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Assistant Professor at the Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, coordinator of Network Systems Learning, Control and Evolution Group, core faculty member at Robert Bosch Centre for Data Science and Artificial Intelligence and Initiative for Biological Systems Engineering, IIT Madras. Nirav’s research interests include first-principle and machine learning approaches for modeling and control of biological networks from multi-sensor and multi-scale data, safe learning and control of man-made networks, and bioprocess data analysis.

Dr. Balaraman Ravindran
Reinforcement Learning, Geometric Deep Learning, Data Mining

Ph.D., Computer Science, University of Massachusetts, Amherst, USA

Head of the Robert Bosch Centre for Data Science & Artificial Intelligence (RBCDSAI) and Mindtree Faculty Fellow and Professor in the Department of Computer Science and Engineering at IIT Madras. He has published nearly 100 papers in premier journals and conferences such as ICML, AAAI, IJCAI, ICDM, ICLR, NeurIPS, UAI, ISMB, and AAMAS. He has also co-authored the chapter on Reinforcement Learning in the Handbook of Neural Computation published by Oxford University Press. His work with students has won multiple best paper awards, the most recent being a best-paper runner-up at AAMAS 2020. His current research interests are centred around geometric deep learning and reinforcement learning.

Dr. Karthik Raman
Biological Networks, Computational Systems Biology, Genomics and Computational Biology

Ph. D., Systems Biology, IISc

Associate Professor at the Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras, coordinator for the Initiative for Biological Systems Engineering (IBSE) and core faculty member at RBCDSAI, IIT Madras. Karthik is also the co-founder of qBiome Research Private Limited, an IIT Madras incubated startup offering customised cellular, metabolic and process engineering solutions for the biotech, pharma and chemical industry. His group works on scalable algorithms to study biological networks, and machine learning using high-dimensional multi-omic data, with applications in metabolic engineering and disease biology.

Dr. Gitakrishnan Ramadurai
Dynamic Traffic Assignment, Transportation Network Modelling, Intelligent Transportation Systems, Pedestrian Safety

Ph.D., Transportation Engineering, Rensselaer Polytechnic Institute, NY, USA

Associate Professor in the Transportation Engineering Division, Department of Civil Engineering and core faculty member in Robert Bosch Center for Data Science and AI, IIT Madras. His overarching goal is to develop technological and management solutions for a safe and sustainable transportation system. His primary research interests are in network modeling, dynamic traffic simulation and assignment, Intelligent Transport Systems (ITS), vehicular emissions, urban freight, public transit systems, and road safety.

Career Accelerator

TalentSprint's Career Accelerator offers real, tangible, and far-reaching career advancement and transformation solutions to program participants. At TalentSprint, we are committed to helping participants connect, explore, and empower their future.

  • Compelling ProfileGet priority access to career
    opportunities
  • Priority Career AccessBuild a demonstrable profile that showcases capabilities
  • Elite CommunityBecome a member of an exclusive community of DeepTech experts
  • Startup MentorshipBoost your startup ideas with professional mentorship

Our Alumni Work with Top Organizations

alumni-companies

Brand logos of organizations of program participants. All logos belong to the respective brand owners.

Top Career Opportunities in Data Science and Machine Intelligence

  • Data Scientist (7000+ openings)
  • Data Science Manager (2000+ openings)
  • Machine Learning Engineer (24,000+ openings)
  • Data Engineer (29,000+ openings)
  • AI/ML Developer (4000+ openings)
  • AI Programmer (8000+ openings)
  • Junior Data Scientist (1000+ openings)
  • Junior Data Science Engineer (1000+ openings)
  • Data Analyst (10,000+ openings)
  • Applied AI/ML Analyst (600+ openings)
  • Backend AI Engineer (980+ openings)
  • and more..

Find out why professionals want to join the programme

"As a professional working in the Advertising/Marketing Technology space, I see the need of Data science at work."
Navin Rao, Advertising

"As an IT professional, I feel the need to learn Machine Intellegence to work on challenging technologies at work."
Karthikeyan Logamani, Banking and Finance

"I want to build cloud-based software products with data science and machine learning expertise."
Arul Kumar, ITES

"I want to return to my IT job with Data Science expertise and this programme is adept at helping me meet that goal."
Maithreyi G, Software Development

"I work in the Automotive industry. With Data Science expertise, I want to explore new opportunities in the industry."
Ram Prasanth, Press Automation

"This programme will help me stay informed about the latest Data Science trends and grow my career."
Varen Gupta, Retail

"Using Data Science, I want to grow my family-owned manufacturing business."
Kartic Ramesh, Self-Employed

"With Data Science, I want to develop a product suite for network performance analytics for 5G telecommunications."
Atin Banerjee, Telecommunications

Note: These are edited versions based on the details submitted by various programme applicants.

Participant Profile

From Diverse Job Roles

System Engineer
Software Developer
Software Engineer
Senior Analyst
IT Analyst
Data Analyst
Assistant Manager
Tool Designer
Technology Analyst
Technical Architect
Technical Lead
Research Support Officer
Research Scholar
Project Engineer
Programmer Analyst
Product Analyst
Data Scientist
Application Development Analyst
Application Developer

From Top Organizations

Accenture
Aeronautical Development Agency
Al Abeer Medical Company
Amazon
Appirio
BA Continuum
Bajaj Finserv
Bank of America
Bharti Airtel
Byjus
CEAT
Cisco
Cognizant
Concentrix
CQS
Credit Suisse
Crisil
Dunnhumby
DXC
Federal Bank
FICO
Ford Motor
Genpact
HSBC
Infosys
JP Morgan
Justdial
Kyndryl
L&T
Leadsquared
Lionbridge
Mahindra and Mahindra
McKinsey
Michigan State university
Microsoft
Novartis
Oracle
Pwc
Railtel Corporation
RBI
Robert Bosch
SAP
Siemens
Societe Generale
Standard Chartered
Tata Elxsi
TCS
The World Bank
Volvo
Walmart
Wipro
Zomato

From Across Indian Cities and International Locations

Ahmedabad
Amritsar
Bangalore
Bhopal
Bhuvaneswar
Chandigarh
Chennai
Coimbatore
Cuttack
Delhi
Farrukhabad
Gaya
Gurgaon
Hyderabad
Indore
Jabalpur
Jalgaon
Kalpakkam
Kanaiguda
Karnal
Kochi
Kolkata
Kottayam
Kozhikode
Kumbakonam
Latur
Lohogaon
Lucknow
Mumbai
Murshidabad
Palakkad
Panampilly Nagar
Panchkula
Pondicherry
Pune
Ramanathapuram
Vijayawada
Bellevue
Jeddah
San Jose

Delivery Format

  • Faculty-led Interactive Masterclass Lectures
  • Hands-on Labs
  • Mentor Support
  • Hackathons
  • Workshops
  • Interactions with Experienced Professionals
  • 1 Campus Visit of 3 Days towards the end of the cohort**

**Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.

View Details

Eligibility

Education: B.E./M.E./B.Tech/M.Tech/B.Sc./M.Sc or an equivalent degree

Work Experience: Minimum 1 Year

Coding Experience: Basic Programming Knowledge Required

Your DeepTech Learning Journey

  • Application

    Apply for
    the Programme

    By sharing your education and professional details
  • Wait for Selection

    Wait for
    Selection

    By programme selection committee
  • Block Your Seat

    Block
    Your Seat

    By Remitting the Registration Fee
  • Enrollment

    Enroll for
    the Programme

    By Remitting the Full Programme Fee
  • Enrollment

    Start Building
    Expertise

    Under the mentor support of top Faculty
  • Enrollment

    Get Certified by
    CODE, IIT Madras

    India’s #1 (NIRF, 2022) Institution



The selection for the programme will be done by IIT Madras and is strictly based on the eligibility criteria and the motivation of applicants as expressed in their statement of purpose.

Fee with Flexible Payment Options

Details Domestic Participants
Programme Fee ₹2,50,000

EMI Facility Available Special Pricing for Corporates GST as applicable

Campus visit fee to be borne by participants. Will be based on actuals.
Fee is non-refundable and non-transferable.

PARTNERS

About TalentSprint

  • 10 Years of
    Excellence
  • 200K Empowered
    Professionals
  • 95% Completion
    Rate
  • 85 Net Promoter
    Score

Established in 2010, TalentSprint is a part of NSE group and a global edtech company that brings transformational high-end and deep-tech learning programs to young and experienced professionals. The company’s digital learning platform ipearl.ai offers a hybrid onsite/online experience to seekers of deep technology expertise. TalentSprint partners with top academic institutions and global corporations to create and deliver world class programs, certifications, and outcomes.Its programs have consistently seen a high engagement rate and customer delight. It is a leading Innovation Partner for the National Skill Development Corporation, an arm of the Ministry of Skill Development and Entrepreneurship, Government of India. A recipient of various prestigious accolades, TalentSprint was recently honored with the Indian Achievers Award 2022, for its excellence in building deeptech talent in India. For more information about TalentSprint, visit TalentSprint website

News

Media Coverage

Economic Times
The Tribune
Data Quest
MINT
Analytics India Mag

Frequently Asked Questions

View all

  • *Placement support is limited to 5 years of experience.