Application Deadline 8 Jan

Application Deadline 15th Dec

12 months

Duration

Online

Format

25+

Projects

IIT Roorkee

Certificate

About the Course

Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

Machine Learning and Deep Learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

Most of the domains that were considered specializations are now being merged into Machine Learning and Deep Learning. This has happened because of the following:

  1. Better research and algorithms
  2. Better computing resources
  3. Distributed computing infrastructures
  4. Availablity of Big Data

Every domain of computing such as data analysis, software engineering, and artificial intelligence is going to be impacted by Machine Learning. Therefore, every engineer, researcher, manager or scientist would be expected to know Machine Learning and Deep Learning

So naturally, you are excited about Machine learning and would love to dive into it. This PG Certificate Program is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. After finishing this specialization, you will find creative ways to apply your learnings to your work. For example

  1. You would like to build a robot which can recognize faces or change the path after discovering obstacles on the path.
  2. Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports or e-commerce transactions reports).

Program Highlights

Executive PG Certificate from IIT Roorkee

Executive PG Certificate from IIT Roorkee

Certificate of Completion by IIT Roorkee

1 Week Immersion Program

1 Week Immersion Program

A On-Campus immersion Program at IIT-Roorkee

Placement Eligibility Test

Placement Eligibility Test

Proctored Exams with opportunity to get Placed

Hands-On Project

25+ Hands-On Project

Work on real world projects to get an hands-on experience

Timely Doubt Resolution

Timely Doubt Resolution

Get access to community of learners via our discussion forum

Access to Cloud Lab

Access to Cloud Lab

Lab comes pre-installed with all the software you will need to learn and practice.

Application Deadline 08th Jan'22

Certificate

What is the certificate like?

  • Why IIT Roorkee?

    IIT Roorkee is ranked first among all the IITs AND 20th position globally in citations per faculty. Established in 1847, it's one of the oldest technical institutions in Asia. IIT Roorkee fosters a very strong entrepreneurial culture. Some of their alumni are highly successful as entrepreneurs in the new age digital economy.

  • Why CloudxLab?

    CloudxLab is a team of developers, engineers, and educators passionate about building innovative products to make learning fun, engaging, and for life. We are a highly motivated team who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We upskill engineers in deep tech - make them employable & future-ready.

QS

#1st

Among the IITs in the ‘Citations per Faculty’ parameter

*QS World Rankings

India Today

#5

Ranked Engineering College

*India Today 2020

NIRF

#6

Ranked for IITs

*NIRF 2020

QS

#12

Ranked Best Global Universities in India

*QS World Rankings

Hands-on Learning

hands-on lab

  • Gamified Learning Platform
    Making learning fun and sustainable

  • Auto-assessment Tests
    Learn by writing code and executing it on lab

  • No Installation Required
    Lab comes pre-installed softwares and accessible everywhere


Mentors / Faculty

Instructor Raksha Sharma

Raksha Sharma

Faculty CSE Dept

IIT Roorkee

Instructor Sanjeev Manhas

Sanjeev Manhas

Faculty ECE Dept

IIT Roorkee

Mentor Venkat Karun

Venkat Karun

Staff Software Engineer

Google

Dr. M.L. Virdi

Dr. M.L. Virdi

Senior Research Scientist

NASA

Instructor Sandeep Giri

Sandeep Giri

Founder at CloudxLab

Past: Amazon, InMobi, D.E.Shaw

Instructor Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab

Past: Byjus

Instructor Praveen

Praveen Pavithran

Co-Founder at Yatis

Past: YourCabs, Cypress Semiconductor

Curriculum

Foundation Courses

1. Programming Tools and Foundational Concepts
1. Linux for Data Science
2. Getting Started with Git
3. Python Foundations
4. Machine Learning Prerequisites(Including Numpy, Pandas and Linear Algebra)
5. Getting Started with SQL
6. Statistics Foundations

Course on Machine Learning

1. Machine Learning Applications & Landscape
1. Introduction to Machine Learning
2. Machine Learning Application
3. Introduction to AI
4. Different types of Machine Learning - Supervised, Unsupervised
2. Building end-to-end Machine Learning Project
1. Machine Learning Projects Checklist
2. Get the data
3. Launch, monitor, and maintain the system
4. Explore the data to gain insights
5. Prepare the data for Machine Learning algorithms
6. Explore many different models and short-list the best ones
7. Fine-tune model
3. Classification
1. Training a Binary classification
2. Multiclass,Multilabel and Multioutput Classification
3. Performance Measures
4. Confusion Matrix
5. Precision and Recall
6. Precision/Recall Tradeoff
7. The ROC Curve
4. Training Models
1. Linear Regression
2. Gradient Descent
3. Polynomial Regression
4. Learning Curves
5. Regularized Linear Models
6. Logistic Regression
5. Support Vector Machines
1. Linear SVM Classification
2. Nonlinear SVM Classification
3. SVM Regression
6. Decision Trees
1. Training and Visualizing a Decision Tree
2. Making Predictions
3. Estimating Class Probabilities
4. The CART Training Algorithm
5. Gini Impurity or Entropy
6. Regularization Hyperparameters
7. Instability
7. Ensemble Learning and Random Forests
1. Voting Classifiers
2. Bagging and Pasting
3. Random Patches and Random Subspaces
4. Random Forests
5. Boosting and Stacking
8. Dimensionality Reduction
1. The Curse of Dimensionality
2. Main Approaches for Dimensionality Reduction
3. PCA
4. Kernel PCA
5. LLE
6. Other Dimensionality Reduction Techniques

Course on Deep Learning

1. Introduction to Artificial Neural Networks
1. From Biological to Artificial Neurons
2. Implementing MLPs using Keras with TensorFlow Backend
3. Fine-Tuning Neural Network Hyperparameters
2. Training Deep Neural Networks
1. The Vanishing / Exploding Gradients Problems
2. Reusing Pretrained Layers
3. Faster Optimizers
4. Avoiding Overfitting Through Regularization
5. Practical Guidelines to Train Deep Neural Networks
3. Custom Models and Training with Tensorflow
1. A Quick Tour of TensorFlow
2. Customizing Models and Training Algorithms
3. Tensorflow Functions and Graphs
4. Loading and Preprocessing Data with TensorFlow
1. Introduction to the Data API
2. TFRecord Format
3. Preprocessing the Input Features
4. TF Transform
5. The TensorFlow Datasets (TDFS) Projects
5. Convolutional Neural Networks
1. The Architecture of the Visual Cortex
2. Convolutional Layer
3. Pooling Layer
4. CNN Architectures
5. Classification with Keras
6. Transfer Learning with Keras
7. Object Detection
8. YOLO
6. Recurrent Neural Networks
1. Recurrent Neurons and Layers
2. Basic RNNs in TensorFlow
3. Training RNNs
4. Deep RNNs
5. Forecasting a Time Series
6. LSTM Cell
7. GRU Cell
7. Natural Language Processing
1. Introduction to Natural Language Processing
2. Creating a Quiz Using TextBlob
3. Finding Related Posts with scikit-learn
4. Generating Shakespearean Text Using Character RNN
5. Sentiment Analysis
6. Encoder-Decoder Network for Neural Machine Translation
7. Attention Mechanisms
8. Recent Innovations in Language Models
8. Autoencoders and GANs
1. Efficient Data Representations
2. Performing PCA with an Under Complete Linear Autoencoder
3. Stacked Autoencoders
4. Unsupervised Pre Training Using Stacked Autoencoders
5. Denoising Autoencoders
6. Sparse Autoencoders
7. Variational Autoencoders
8. Generative Adversarial Networks
9. Reinforcement Learning
1. Learning to Optimize Rewards
2. Policy Search
3. Introduction to OpenAI Gym
4. Neural Network Policies
5. Evaluating Actions: The Credit Assignment Problem
6. Policy Gradients
7. Markov Decision Processes
8. Temporal Difference Learning and Q-Learning
9. Deep Q-Learning Variants
10. The TF-Agents Library
12+
Months of Blended Training
365
Days of Lab Access
25+
Projects
13K+
Learners

Projects

Which Executive PG Certificate Program by IIT Roorkee should you choose?

Topics available Executive PG Certificate Program in Data Science Executive PG Certificate Program in AI (Machine Learning & Deep Learning) Executive PG Certificate Program in Machine Learning Operations
Foundations (Python, Linux, Git, SQL, Analytics)
Machine Learning
Deep Learning Foundations - Artificial Neural Networks
Advanced Deep Learning
Business Analytics
Big Data (Hadoop & Spark)
DevOps Foundations - Deploy Model to Production
Advanced DevOps
View Details View Details

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Application Process


  • Step 1. Submit the application form and SOP(Statement of Purpose)
    Register by filling the application form. Admission Test in the next step will be immediately after filling the form.

  • Step 2. Admission Test
    Online admission test of 60 minutes containing 20 multiple choice questions to assess your quantitative aptitude and programming skills.

  • Step 3. Personal Interview
    Online personal interview for 45 minutes with a course mentor. The interviewer will ask questions based on your Statement of Purpose, work experience(if any) and your motivation and aspirations to join the course.

  • Step 4. Join The Program
    If selected, the admission office will send the letter of acceptance. Submit the admission fees in due time to confirm the seat

  • Note: Admission test should be taken immediately after submitting the application using the link displayed post application submission.


Eligibility Criteria

    1. Anybody in their final year of undergraduate degree or has completed their undergraduation is eligible to apply for the course
    1. Must have studied Mathematics in 12th standard

Scholarships

    1. 10% Scholarships are available for students, women from STEM background and unemployed
    1. 5% Scholarship available for IIT Alumni and CloudxLab Alumni.

PS: Details to avail the scholarship will be sent post application-submission and only one scholarship applicable per learner

Certification Guideline

You will be required to have at least 60% attendance in live sessions, complete at least 75% of the course, 1 Capstone Project and 6 Guided projects - Analyse emails from Python, 3 mandatory projects from Machine Learning and 2 mandatory projects from Deep Learning. All the above requirements need to be met within the deadline of the course (12 Months) to be eligible for the certificate from IIT Roorkee

No Cost EMI at

399*/Month

Or Program Fee 4,999*

*Early Bird Offer
  • 12 Months Programm
  • 365 Days of Online Lab Access
  • 24*7 Support
  • Application Deadline 08th Jan'22
  • Certificate from IIT Roorkee
Sold Out » Apply for Next Batch»
(4 Seats Left)
  • Please note that there is an additional 5% off for one-time payment
  • Placement Assistance

    1-1 mentoring with Industry Experts

    1-1 mentoring with Industry Experts

    You will have 1-1 mentoring sessions with industry experts.

    Mock Interview Sessionsa

    Mock Interview Sessions

    We will be conducting mock interview sessions which will help you prepare for the interviews

    Placement Eligibility Test

    Placement Eligibility Test

    We have around 300+ recruitment partners who will be interviewing you based on your performances in PET

    Profile Building Sessions

    Profile Building Sessions

    Sessions will be conducted to guide you on creating the perfect resume and professional profile to get noticed by recruiters

    Dedicated Job Portal

    Dedicated Job Portal

    Opportunities from companies who approach us asking for our learner profiles will be posted on our job portal to providevisibility to your profile

    Career Guidance Webinars

    Career Guidance Webinars

    Career Guidance Webinars from seasoned industry experts

    Testimonials

    ​

    Frequently Asked Questions

    Will I get support?

    Yes! Please feel free to ask your questions on CloudxLab forum and our community and team of experts will answer your questions. We believe forum will add better perspectives, ideas, and solutions to your questions.

    Can I get a certificate for the projects completed?

    We have created a set of Guided Projects on our platform. You may complete these guided projects and earn the certificate for free. Check it out here

    Can I expect any placement support?

    Yes, we do offer placement assistance that includes career guidance, resume building tips and mock interviews. Each participant will receive staunch support from the industry mentors, who also direct you through various placement opportunities within the industry. Above all, we are partnered with leading MNC’s that offer placement opportunities to our participants.

    Do I need to install any software before starting this course?

    No, we will provide you with the access to our online lab and BootML so that you do not have to install anything on your local machine

    What is the validity of course material?

    We understand that you might need course material for a longer duration to make most out of your subscription. You will get lifetime access to the course material so that you can refer to the course material anytime.

    What if I miss a class?

    You will never lose any lecture. You can view the recorded session of the class in your LMS.

    What is the refund policy?

    We provide a 100% fee refund if the request is raised within the first 2 instructor-led sessions. Please contact us at reachus@cloudxlab.com to request a refund within the stipulated time. Thereafter, no refund is provided.

    I have some more questions. Can I talk to someone?

    Absolutely! Please contact us here. You can also reach us anytime on our 24/7 support helpline by calling us on +918049202224

    Will there be Options to Pay using EMI/Installments

    Yes, you can choose to pay by installments on the payment page.

    How will the payment for the course be made?

    The course fee will be paid in two parts:

    1. Admission fee - Which is a small percentage of the total course fee which helps to reserve your seat for the program

    2. Installments - The remaining course fee will be paid in 11 Installments paid monthly for 11 months as part of No Cost EMI

    If I have more questions during the week days apart from the live sessions, how can I get it cleared?

    Teaching assistants will be helping you during the weekdays to ensure a seamless learning experience. You will be able to have a session at your and the teaching assistants convenience and get your queries cleared over WhatsApp, email or call. The learners will be part of a WhatsApp group with the course faculty so that all the queries the learners may have are answered 24/7.

    What all will be asked during the personal interview?

    The Interviewer during the personal interview will be asking you questions regarding the Statement of Purpose (SOP) you have filled out in your application form, your motivation for joining this course and what you find most interesting in this field.

    Is there an admission fee for the PG Certification Programs?

    No, there are no additional charges for admission. But, if you are choosing to pay by EMI, there will be a fixed admission charge that is to be paid. This amount will be subtracted from the total course fees.