Machine Learning Course from GUVI. Get IIT-M CCE Certification
logo

IIT-M CCE Certified Machine Learning Program

IIT-M CCE Certified Machine Learning Program

  • Learn from IIT Professors & Industry Experts
  • IIT-M CCE Certification
  • 100% Placement Support & more
  • Learn from IIT Professors & Industry Experts
  • IIT-M CCE Certification
  • 100% Placement Support & more

6 Months | Weekend Live Classes

I’m Interested in this Program
Name*
Phone*
Educational Qualification*
Current Profile*
Please fill all the required fields!
Please accept terms and conditions to proceed

Description

Description

Indian Institute of Engineering and Technology, Madras

Zen Class is one of the Industry’s leading Advanced Learning Platform from GUVI that promises 100% Job Placement Support on completing the course. Conducted by an IIT Madras incubated company & designed by our Founders(Ex-Paypal Employees) also offers mentoring through experts from companies like Google, Microsoft, Flipkart, Zoho & Freshworks for placing you in top companies with high salaries. 

Indian Institute of Engineering and Technology, Madras

Our Accreditations

About the Program

About our IIT-M Certified Machine Learning Program

IIT-M CCE Certified Machine Learning Program is an Advanced Career Program from GUVI's Zen Class. This Program will help you become a Machine Learning Expert in just 6 Months. The goal of this course is to help Students/working professionals upskill and equip themselves with skills required to build and deploy Machine Learning models in production using Cloud.

Why Machine Learning in 2022?

Why Machine Learning in 2022?

According to Gartner, there will be 2.3 million jobs in the field of Artificial Intelligence and Machine Learning by 2022. Also, the salary of a Machine Learning Engineer is much higher than the salaries offered to other job profiles. According to Forbes, the average salary of a Machine Learning Engineer in India, it is Rs 865,257/year & United States is $99,007/year. 

  • High Salary
  • High Job Demand
  • Wide Scope of Machine Learning in India

How will the this Program works?

Learn from Industry Experts

How will the Machine Learning Program work?

Step 1

Fill out the form

Step 2

Talk with our Career Consolor 

Step 3

Proceed to the Pre-bootcamp (Refundable)

Step 4

Proceed to Mainbootcamp

Step 5

Complete the Program

Step 6

Get placed in Top Industry

Become an IIT-M CCE Cerified Machine Learning Expert

Become an IIT-M CCE Cerified Machine Learning Expert

Learn from IIT Professors & Industry Experts

Learn from IIT Professors & Industry Experts

Author

Shankar Narasimhan's major research interests are in the areas of Data mining, Process Design andOptimization, Fault Detection and Diagnosis and Fault Tolerant Control. He has co-authored several important papers and a book which has received critical appreciation in India & abroad.

Prof. Shankar Narasimhan
Professor - IIT Madras
Author

Dr Babji Srinivasan is currently working as an Assistant Professor in the Department of Applied Mechanics at IIT Madras. He holds a PhD from Texas Tech University and his research interests span from Behavioral Informatics to Cognitive Systems Engineering.

Dr Babji Srinivasan
Associate Professor - IIT Madras
Author

He is now working as a Senior Data Scientist in Gyan Data Pvt. Ltd. Jayadev’s research interests include modelling, analysis, optimization, and control of systems, applying tools of machine learning, reinforcement learning and deep learning. His works have been published in multiple international conferences and peer-reviewed Journals.

Dr Jayadev
PhD Holder - IIT Madras
Author

Dr Santhosh Kumar Varanas, a Senior Data Scientist, L2 at Gyandata Pvt. Ltd. His research/learning interests focus mainly on the development of predictive models (sometimes also referred to as soft sensors) that can handle the issues of missing data, time delay, outliers, and multi-model nature of the processes which are the most common challenges in the industry.

Dr Santhosh Kumar Varanasi
PhD Holder - IIT Hyderabad
Author

Dr Srinivas Soumitri Miriyala received the SPARK fellowship from Govt. of India to work as a Post-doctoral researcher in the Institute of Data Science and AI at the University of Exeter in the United Kingdom. Dr Srinivas has 10 years of research experience in Machine Learning and worked with academia and industries in areas such as Deep Learning, Explainable AI, Bayesian Optimization and Inference, Evolutionary Algorithms, Nonlinear Optimization, Multi-criteria decision making, Uncertainty Quantification & Analysis, and Surrogate assisted optimization

Dr Srinivas Soumitri Miriyala
PhD Holder - IIT Hyderabad
Author

In a career spanning over twenty-five years, he has helped organizations develop profitable brands and businesses using research and analytics. He has worked in the areas of advertising, market research and analytics with JWT, TNS India, and IBM Daksh. Currently, he is involved in teaching market research as a visiting faculty at various IIM’s.

Mr Suresh Ramadurai
Data Science Expert
Author

Prathibha, currently the Account Lead (SGRI) at GITAA Pvt.Ltd., comes with multiple years of experience in the field of Information Management as a Data Consultant for major MNCs like Deloitte. Aside from conducting training sessions, her other responsibilities include data science consulting and handling major customer accounts of GITAA. She keeps up her keen interest in the field of Data Science through continuous exploration of Machine Learning and Deep Learning concepts

Ms Prathibha Pillai
Data Consultant
Author

Aparajit Balaji has completed his B.Tech. in Mechatronics. In his current capacity as a Junior
Data Scientist, he has successfully led various Machine Learning, Big Data, and Deep Learning programmes for various students and public and private sector professionals. He also works on material and case study development for programmes using Python and R as programming languages, and Tableau as a Business Intelligence tool.

Mr Aparajit Balaji
Data Scientist - GITAA Private Limited - An IITM Incubated Company
Author

With a Master’s in Statistics, Navin Kumar has wholeheartedly dedicated his interests to the field of Data Science by gaining and imparting knowledge in several areas such as Python, R, Machine Learning, NLP and Time Series. Development of training material, case study creation and mentorship of interns in the industry are his other responsibilities taken up as a training lead.

Mr Navin Kumar
Data Science Expert

Curriculum

Curriculum

In this program we adopt a case study methodology to disseminate latest Developments in Cloud Technologies, Deep Learning, NLP and Machine Learning Model Building and Deployment.

Live Classes with Mentor Support

Live Classes


Python Programming

• Why Python
• Python IDE
• Hello World Program
• Variables & Names
• String Basics
• List
• Tuple
• Dictionaries
• Conditional Statements
• For and While Loop
• Functions
• Numbers and Math Functions
• Common Errors in Python
• Functions as Arguments
• List Comprehension
• File Handling
• Debugging in Python
• Class and Objects
• Lambda, Filters and Map
• Python PIP
• Read Excel Data in Python
• Python MySQL
• Iterators
• Pickling
• Try and exceptions
• Assignment & Assessments

SQL

• Data Modelling, Normalization, and Star Schema
• Fact & Dimension Tables
• Data Partitioning by Date stamp
• DDL (create statements)
• Select, insert, update & delete (DML)
• CTE
• Joins
• Window functions (rank, dense rank, row number etc)
• Data Types, Variables and Constants
• Conditional Structures (IF, CASE, GOTO and NULL)
• Stored procedures and Functions
• Integrating python with sql

Shell script

• Basic Shell script commands
• Creating Frameworks
• Cron jobs
• Email alerts
• Git – version control
• Basics of Linux commands

Orchestrator

● Airflow
o ETL/ELT Process

Cloud Services

● Cloud Storage
● Cloud data warehouse
● Cloud data processors
● Cloud VM’s

Pyspark API

• Introduction to Big Data
• HDFS (Hadoop File System) architecture
• MapReduce Algorithm
• Common MapReduce tasks
• Large Workflows for multiple MapReduce jobs
• Hadoop Ecosystem – Hive, Pig, Sqoop, Flume, Oozie,
Zookeeper, HCatalog, HBase and YARN.
• Introduction to Apache Spark
• Hadoop vs Spark
• Streaming data handling in Spark
• Spark batch data processing (CSV, Json, parquet files)
• Data Integration and Transformation using OCI (Oracle Cloud
Infrastructure)
• AWS/GCP Data Management Tools [EMR, Athena, Glue]
• Containerization of Applications & Docker Containers
• Assignment & Assessments

Data Cleaning

• Structured vs Unstructured Data
• Common Data issues and how to clean them
• Textual data cleaning
• Meaningful data transformation (Scaling and
Normalisation)
• Example: Movies DataSet Cleaning

Data Visualization using Matplotlib, Seaborn and Plotly Dash

• Read Complex JSON files
• Styling Tabulation
• Distribution of Data - Histogram
• Box Plot
• Pie Chart
• Donut Chart
• Stacked Bar Plot
• Relative Stacked Bar Plot
• Stacked Area Plot
• Scatter Plots
• Bar Plot
• Continuous vs Continuous Plot
• Line Plot
• Assignment: Covid Data Visualization

Projects

Gesture Recognition, Pneumonia Detection using X-Ray images
Data collection, cleaning, transformation and visualization & more

Computer Vision

● Introduction to Computer Vision
● Digital Image Processing
● What is a digital image?
● Applications
● Image operations
● Mathematical tools
● Algorithms
● Implementation techniques
● Automated Image Processing, Analysis and Understanding
● Deep Neural Networks
● Convolutional Neural Networks
● Artificial Neural Networks
● Case study

Natural Language Processing

● Introduction to Natural Language Processing
● Clustering -Recap
● Tokenization
● N-grams
● Stemming
● Lemmatization
● Tokenizing your Corpus
● POS Tagging and Stopwords
● Text “Features” and TF-IDF Classification
● Machine Learning Approaches to Textual Data
● Dendrograms, PCA scatterplots & k-means
● Plotting the Text, Finding the Plot
● Document Clustering and Word Vectors
● Doc2vec, Word2vec
● Topic Modeling Basics
● Topic Modeling: Strengths, Weaknesses, Correlations
● What’s in a Topic?

Deep Learning

• Deep learning, AI big picture
• ML overview and deep learning essentials
• Basics of Pytorch
• Feedforward – single and multiple layer perceptron Eg: MNIST
• Backpropagation Eg: MNIST
• Gradient Descent Algorithm and its variants
• Linear algebra recap (eigen values, eigen vectors, EVD)
• Principal component analysis (PCA)
• Autoencoders- overcomplete, under complete (AE)
• Relation between PCA and AEs
• Contractive AEs
• Pytorch hands-on autoencoders Eg: MNIST
• Convolutional neural networks (CNN)
• ImageNet architectures
• CNNs for object detection
• R-CNN, Fast R-CNN
• Recurrent neural networks (RNN)
• LSTMs
• Seq2Seq Models
• Attention Mechanisms
• Practical tips for training deep neural networks
• Regularization in deep neural networks
• Pytorch hands-on CNN Eg: MNIST

Pytorch hands-on RNN Eg: Transliteration

Different regularization methods for feedforward Eg: MNIST

Python Refresher

• Python Modules
• NumPy
• ndArray

Pandas dataframe and dataframe related operations

• Reading files
o Comma separated value files
o Tab-delimited files
o Excel files
o Assignment & Assessments

Machine Learning Refresher

Predictive Modelling

• Correlation
• Basics of regression
• Ordinary least squares
• Simple linear regression
• Model building
• Model assessment and improvement
• Diagnostics
• Multiple linear regression (model building and assessment)
• Random forest & decision tree

Machine Learning
• Classification
o Logistic regression
o K nearest neighbours
• Clustering
o K means
Machine Learning
• Dimensionality reduction methods
o Principal component analysis and its variants
o Linear Discriminant Analysis
Machine Learning
• Support vector machine
Assignment & Assessments

Technologies covered

Technologies covered

Projects

Custom Gmail client using Gmail API

Bored of your Gmail client , then build your own frontend for GMail by accessing it through GmailAPI. This will teach you how to design & integrate the API and do OAuth

Instagram in React

Clone of your Insta account with react components. create Business Profile, Celebrity Profile, General Profile, Add & Follow Friends & Celebrities, Browse posts of different categories, Upload Post, Upload Stories, Go live, Keep up with social trends.

Music streaming app like Spotify

Publish a web app like Spotify using modern Framework React and learn how to create components and build a large scale project and host it live.

YouTube radio

Everyone wants a personalized presentation. Customized player for your preferences and you can store the data in a MongoDB via a backend like NodeJS.

Google Docs Clone

Build Realtime Document editor for users for editing, creating and sharing with all the features like Google Docs using Socket.io.

Benefits of our Program

Benefits of Zen Class

Learn from IIT Professors & Industry Experts

A program designed by Subject-Matter Experts

Globally Recognized Certification from GUVI & IIT-M CCE

LIVE classes + Lifetime recorded videos

100% Job Placement Assistance

A digital portfolio through "Github"

Hands-on Workshops & Hackathons

EMI options available

Technical Support Available in English, தமிழ் and हिंदी

More about our Mentors

Benefits of Zen Class

Prof. Shankar Narasimhan

Prof. Shankar Narasimhan is currently a professor in the department of chemical engineering at IIT Madras. His major research interests are in the areas of Data mining, Process Design and Optimization, Fault Detection and Diagnosis (FDD) and Fault Tolerant Control. He has co-authored several important papers and a book which has received critical appreciation in India and abroad. Together with Prof. Raghunathan Rengasamy, he has a course on DataScience for Engineers in NPTEL, for which more than sixty thousand students have enrolled in five
offerings.

Mr. Suresh Ramadurai

Mr. Suresh’s expertise is in the area of data sciences. In a career spanning over twenty-five years, he has helped organizations develop profitable brands and businesses using research and
analytics. He has worked in the areas of advertising, market research and analytics with JWT, TNS India, and IBM Daksh. Currently he is involved in teaching market research as a visiting faculty at various IIM’s. He is also involved in training analytics professionals.

Prof. Babji Srinivasan

Prof. Babji Srinivasan received his B.Tech degree in instrumentation and control engineering from Madras Institute of Technology, Chennai, India. In 2008, he received the Master's degree in
chemical engineering from the Indian Institute of Technology Madras, Chennai, India. He then started his doctoral work at the department of chemical engineering at Texas Tech University, Lubbock, TX, USA and received his doctorate in 2011. In 2012, he joined the Indian Institute of Technology Gandhinagar, India as an Assistant Professor at the departments of chemical and electrical engineering.

Dr. Srinivas Soumitri Miriyala

Dr. Srinivas Soumitri Miriyala completed his Master's and Ph.D. at IIT Hyderabad in 2020. His thesis focussed on developing an Evolutionary Neural Architecture Search (NAS) strategy for optimally designing Deep Neural Networks facilitating contemporary research in Automated Machine Learning (AutoML). He successfully implemented his algorithm on 7 real-world industrial case studies and more than 25 state-of-the-art benchmarks.

Dr. Jayadev

Jayadev did his master’s and PhD from IIT Madras, and recently submitted his thesis titled “Data-Driven Identification, Completion and Verification of Topology in Conserved Networks”. The thesis proves results and proposes methodologies by combining techniques from machine learning, graph theory and control theory. During his PhD, Jayadev was affiliated with the Robert Bosch Center for Data Science & AI, and Systems & Control group at IIT
Madras.

Dr Santhosh Kumar Varanasi

Dr. Santhosh Kumar Varanasi, completed his M.Tech (2015) and Ph.D. (September, 2019) in the Department of Chemical Engineering at Indian Institute of Technology Hyderabad, India. From
September 2019 till March 2022, he worked as a Postdoctoral fellow in the Department of Chemical and Materials Engineering, University of Alberta, Canada. Currently, he is working as a Senior Data Scientist, L2 at Gyandata Pvt. Ltd.

Mr. Navin Kumar

Navin Kumar, the Training Team Lead at GITAA Pvt.Ltd., has led many successful data science training programs for several national and multinational level corporates and other educational
institutions. With a Master’s in Statistics, he has wholeheartedly dedicated his interests to the field of Data Science by gaining and imparting knowledge in several areas such as Python, R,
Machine Learning, NLP and Time Series.

Mr. Aparajit Balaji

Aparajit Balaji has completed his B.Tech. in Mechatronics. In his current capacity as a Junior Data Scientist, he has successfully led various Machine Learning, Big Data, and Deep Learning programmes for various students and public and private sector professionals. He also works on
material and case study development for programmes using Python and R as programming languages, and Tableau as a Business Intelligence tool.

Ms. Prathibha Pillai

Prathibha, currently the Account Lead (SGRI) at GITAA Pvt.Ltd., comes with multiple years of experience in the field of Information Management as a Data Consultant for major MNCs like
Deloitte. Aside from conducting training sessions, her other responsibilities include data science consulting and handling major customer accounts of GITAA.

Dr. Sanatan Sukhija

Dr. Sanatan Sukhija is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Mahindra University, Hyderabad. He earned his Doctorate from the Department of Computer Science and Engineering at Indian Institute of Technology Ropar in January 2020.

Dr. Shyam Kumar

Have worked with Tiger Analytics and Cognizant Technology Solutions in their Data Science team. Have 2 Patents on the application of AI and Machine Learning for Fraud Detection in Block chain and Shrinkage Reduction in Retail.

Amit Kumar Verma

My research interests lie in the area of Natural Naguage Processing, Deep Learning, Collective Intelligence, and Open Source Software development. I have mostly worked on core NLP problems using large-scale datasets (like Wikipedia) and designed methods to understand the crowd behavior on collaborative portals. I am also interested in developing python-based libraries for research…

Vinish Vivek

Highly trained Automobile Engineering focused on delivering comprehensive academic instructions on Engineering Product Design and Simulation, Mechanical Project Management, Design & Simulation software; building courses on Solidworks and Python Programming for e-learning websites, simulating, evaluating & optimizing
product design, & delivering large-scale engineering projects

Bala Chandar

Balachandar K, a graduate engineer in Information technology from Anna University of Chennai. He has 12+ years of IT industry experience, 10+ years of corporate technical trainer and one of the Data science SME and currently he is working as Data scientist and Product principal architect for one of the US based client and he has built end to
end Artificial intelligence and Machine learning product.

Amit Kumar Verma

My research interests lie in the area of Natural Naguage Processing, Deep Learning, Collective Intelligence, and Open Source Software development. I have mostly worked on core NLP problems using large-scale datasets (like Wikipedia) and designed methods to understand the crowd behavior on collaborative portals. I am also interested in developing python-based libraries for research…

Benefits of Zen Class

Benefits of Zen Class

A program designed by Subject-Matter Experts

Globally Recognized Certification from IITM CCE & GUVI

LIVE classes + Lifetime recorded videos

Ask me anything sessions with Industry Experts 

Chat with Industry Mentors

100% Job Placement Assistance

20+ Projects, Hands-on Workshops, & Hackathons

A digital portfolio through "Github"

EMI options available

Technical Support Available in English, தமிழ் and हिंदी

Certification from IIT-M CCE & GUVI

Certification

  • Certificate will be issued after the successful completion of the course.
  • Certification from IIT-M CCE & GUVI
  • Globally recognized enough to outshine in Interviews.
  • Showcases your talent & skillset on LinkedIn.

Where do our Students work?

& more

Program Fee ₹ 1,80,000
₹ 1,30,000 (incl. taxes)

EMI options available. Start learning today! Get maximum flexibility to learn at your own pace. Prebook your seat at ₹ 5000 (Refundable If you are not interested)

Special Offer! Additional Flat ₹ 12,000 OFF only for the first batch. Offer ends in

--
Days
--
Hours
--
Minutes
--
Seconds

Hurry up. Limited seats only!

Get Unlimited Access to Our Practise Platform

CodeKata

A tool-kit specifically developed to boost the coding skills and makes you ever-ready to crack interviews.

WebKata

A cloud-based module to hone your front end skills without any hassle of local environment setup.

IDE

GUVI IDE is an Integrated Development Environment that lets you write, edit, run, test & debug your code. 

Our Learners

Author

"The training process that has been following in GUVI is so systematic and well programmed. The hands-on tasks are prepared so well. Mentors are so friendly and most talented and can answer any kind of doubt & available all the time throughout your course. My overall experience was so good and I thank GUVI again for helping me to get into the best company."

Vishnu
Author

I joined GUVI for a Data Science program during the course of which I learnt a lot of technologies in detail. I also got the opportunity to be placed in good product based companies. It had an enriching experience on the whole.

Akshay

Video Reviews

Frequently Asked Question

What's the difference between ZEN Class's IIT-M CCE Certified Machine Learning Program and other programs available online?

ZEN IIT-M CCE Certified machine learning program follows a structured vetted curriculum, co-curated & continually refined by subject matter experts of IIT-M & industry experts. This program will take you out of the IT-skill rut and expose you to various trending ML skills to help your career in the long run. 


At ZEN Class, we create the Job-ready skills that empower achievement, probably that's why unlike other programs available online, the ZEN class provides 100% Job Placement support. The real-world capstone projects in Machine Learning Program go far beyond step-by-step guides, cultivating the critical thinking required for workplace relevance.

What is the duration of the course?

The 6-months online classes are scheduled for weekends (Saturday & Sunday) so that you attain crucial AI/ML skills without hampering your ongoing work or study. 


Who is eligible for this IIT-M CCE Machine Learning Program?
  • Intermediate Python Programmers who want to expand their knowledge & expertise in Machine Learning & Deep Learning. 
  • Data Professionals & developers who want to learn new skills for feature engineering. 
  • Freshers with foundational Python knowledge, who wants to advance their career in one of the most sought-after fields of Machine Learning & AI. 
  • Any Degree Holder who want to start their career in Machine Learning
What are the payment options?

We have different Payment Options Like EMI, Credit card, Debit card & Wallet. EMI options available from 3 to 24 Months. For more details, reach us at 9344419057.
 

What kind of Project will I do and how will it help me?

The Program features three real-world capstone projects: Gesture Recognition, Pneumonia Detection using X-Ray images, Data collection, cleaning, transformation, and visualization.

Each project you build will become part of your portfolio to demonstrate your newly acquired skills in data analysis &  feature engineering, ML & deep learning algorithms. By the end of the program, you will be proficient enough to train and evaluate predictive models using the cloud. 

What will be tested to clear the screening test before the Program?

The program has certain prerequisites such as intermediate python programming proficiency and a basic understanding of probability and statistics.

The screening is to distill the talents & make sure you are ready for the advanced concepts of Machine Learning & Deep Learning. Once you have cleared your pre-program assessment, you're good to go for the main bootcamp. 

What if I miss any live classes? How long do I have access to the learning contents and practice platforms?

Zen Class provides you with a recording of every class with unlimited access to all the practice platforms. So, you barely get a chance to miss out on anything. You can just go back & revive them at your own time. 

Will I be Certified?

Yes, upon completion of the program, you will be accredited with IIT-M CCE certification & GUVI Certification

Still have queries? Contact Us

Request a Callback. An expert from the admissions office will call you in the next 24 working hours. You can also reach out to us at [email protected] or 9344419057

Download Syllabus

Name*
Phone*
Educational Qualification*
Current Profile*
Please fill all the required fields!
Please accept terms and conditions to proceed

Request a Call back now

Name*
Phone*
Educational Qualification*
Current Profile*
Please fill all the required fields!
Please accept terms and conditions to proceed

Book your seat now

Name*
Phone*
Educational Qualification*
Current Profile*
Please fill all the required fields!
Please accept terms and conditions to proceed

Check your eligibility now

Name*
Phone*
Education Qualification*
Current Profile*
Please fill all the required fields!
Please accept terms and conditions to proceed
Please wait