IIT Roorkee Certificate Programme in Machine Learning

IIT Roorkee Certificate Programme in Machine Learning

Programme Start Date: 14th May, 2022 | Admission: Coming Soon

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IIT Roorkee Certificate Programme in Machine Learning

DELIVERY TYPE

Live online instructor-led sessions (Direct-to-Device)

COURSE DURATION

6 months

DEADLINE TO APPLY

15th March 2022

COURSE FEE

₹ 100,000/- + Taxes = ₹ 1,18,000/-

CLASS TIMINGS

Every Sat & Sun
Timings: 9:00 a.m. to 11:00 a.m. IST

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1st

Among the IITs in the ‘Citations per Faculty’ parameter in QS World University Rankings, 2021

1-20

Among universities worldwide in ‘Citations per Faculty’ parameter in QS World University Rankings, 2021

83rd

In Asian University Rankings from Times Higher Education World University Rankings 2020

9th

In overall rankings by NIRF, 2020

6th

Among Engineering colleges in NIRF, 2020

1st

In India Today’s list of India's Best Architecture Colleges 2020 (for Department of Architecture and Planning at IIT Roorkee)

Programme Highlights

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Designed for working professionals

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Certificate of completion from IIT Roorkee

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Live-online teaching by experienced IIT Roorkee faculty and industry experts

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Practical hands-on training

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Capstone project to apply concepts learnt during the program

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Tools

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Pre-requisite Skills

  • Python Programming
  • Basic Data-handling Skills
  • Note: Candidates from programming backgrounds who don't have the above-mentioned pre-requisite skills can take our self-paced Refresher Module to build the required skills before the course commencement.

Programme Duration

Programme Delivery

  • The programme will be delivered in a two-way video/audio interactive mode (100% live online synchronous mode).
  • Sessions will be delivered from IIT Roorkee studio on BCCL technology platform.
  • Students will attend the lectures on their own devices (Laptop/Desktop/Tablet/Mobile).
  • Students will have access to a Learning Management System for referring to the content.
  • Live online instructor-led sessions by top IIT faculty and industry experts.

Programme Roadmap

    Topics Covered

  • Intro to Machine learning
  • Types of learning and common machine learning algorithms

Learning Outcome
In this module, you will get an overview about different machine learning algorithms.

    Topics Covered

  • Linear regression
  • Logistic Regression
  • KNN and Decision trees
  • Performance measures in classification algorithms
  • Naïve Bayes
  • SVM
  • Ensemble Learning
  • Clustering algorithms
  • Hyper parameter tuning, GridSearch CV
  • Dimensionality reduction, PCA
  • ML Pipelines
  • Case Studies

Learning Outcome
In this module, you will learn about different Machine Learning algorithms and their applications. You will get hands-on practice with your very first predictions using Machine Learning models.

    Topics Covered

  • Need of text analytics & text cleaning
  • Obtaining inferences through text: WordCloud, bigrams, trigrams
  • Vectorizing text
  • Text classification

Learning Outcome
Learn to work with the unstructured text data. Learn about how to extract meaningful insights from text data and prepare the data for Machine Learning models.

    Topics Covered

  • Introduction to TensorFlow and Neural nets
  • Perceptron training with Keras
  • Deep neural networks

Learning Outcome
Get introduced to the concept of a neuron and how multiple neurons can be used to construct an Artificial Neural Network. You will learn about various building neural networks using TensorFlow and Kera.

    Topics Covered

  • Introduction to CNN
  • Binary Classification with CNN
  • Multiclass classification with CNN
  • Transfer learning and pre-trained models
  • Object Detection
  • Case Studies

Learning Outcome
Deep Learning is a class of Machine Learning algorithms that progressively extract features for better understanding of the problem. One of the popular applications of Deep Learning is in image recognition. You will learn how to build complex image recognition and object detection models and apply them to solve business use cases.

    Topics Covered

  • ML Model lifecycle
  • ML deployment
  • Deploying models on AWS and Azure

Learning Outcome
Learn about machine learning model deployment using APIs on AWS and Azure.

6

Months course

94

Hours (68 hours live + 26 hours capstone project)

6

Modules

5

Tools

4

Projects

Faculty Profiles

Dr. Partha Pratim Ro

Associate Professor,
Department of Computer Science and Engineering,
Indian Institute of Technology Roorkee

Dr. Partha Pratim Roy received his Master’s in 2006 and PhD in 2010 from Universitat Autonoma de Barcelona, Spain. His PhD work was on the multi-oriented text character analysis and its application on document image retrieval. Dr. Roy developed efficient algorithms towards automatic retrieval of Graphical Documents (map, music-documents, postal-documents, etc.) by analysing text and graphical entities (such as seal). He is the recipient of "Best Student Paper" awarded by International Conference on Document Analysis and Recognition (ICDAR), 2009, Spain.

Dr. Roy has gathered industrial experience while working in TCS and Samsung. In Samsung, he was a part-leader of Computer Vision group. Dr. Roy and his team developed several prototypes for smart-phone users. His work on automatic text transcription from scene-image was highly acclaimed. In addition, he has received numerous honors and awards for his works.

Presently, Dr. Roy is working as an Associate Professor at Dept. of Computer Science and Engineering, Indian Institute of Technology (IIT), Roorkee. His main research area is Pattern Recognition. He has published more than 210 research papers in various international journals and conference proceedings. He has co-organised several international conferences and workshops, has been member of the Program Committee of a number of international conferences, and acts as reviewer for many journals in the field.

Research Areas:
  • • Pattern Recognition, Multilingual Text Recognition, Biometrics
  • • Computer Vision, Image Segmentation
  • • Bio-Signal Analysis, EEG based Pattern Analysis
  • • Machine Learning, Deep Learning, Temporal Data Analysis
CERTIFICATE PROGRAM IN MACHINE LEARNING (CPML) (Batch 02)

CERTIFICATE PROGRAM IN MACHINE LEARNING (CPML) (Batch 02)

Certificate of completion from IIT Roorkee

certificate

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About IIT Roorkee

About IIT Roorkee

About TSW

About TSW

Programme Fees

₹ 1,00,000 /- + Taxes = ₹ 1,18,000/-

Note: "In case the candidate rejects the offer from the Institute then the processing fees will be not refunded."

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