Zen Class offers the best machine learning course online. Learn Machine learning from industry experts, and get certified.
*Only for professionals and graduates
Zen Class offers the best machine learning course online. Learn Machine learning from IIT Madras faculty and industry experts, and get certified.
*Only for professionals and graduates
Format
Online
EMI Options
Upto 12 months
Course
Live Online classes + Lifetime recorded videos
Duration
6 Months
Hiring Partners
100+ Companies
Format
Online
Duration
6 Months
Hiring Partners
100+ Companies
EMI Options
Upto 12 Months
Zen Class is one of the industry’s leading Project Based Career Programs offered by GUVI & 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.
IIT-M Pravartak 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.
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.
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Broke the Record for most users taking an online computer programming lesson in 24 Hrs.
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Awarded by ENTREPRENEUR INDIA for having the best online personalized learning programs
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.
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.
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 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 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
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.
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
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.
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.
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.
• 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
• 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
• Basic Shell script commands
• Creating Frameworks
• Cron jobs
• Email alerts
• Git – version control
• Basics of Linux commands
● Airflow
o ETL/ELT Process
● Cloud Storage
● Cloud data warehouse
● Cloud data processors
● Cloud VM’s
• 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
• 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
• 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
Gesture Recognition, Pneumonia Detection using X-Ray images
Data collection, cleaning, transformation and visualization & more
● 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
● 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, 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 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
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
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
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.
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.
Everyone wants a personalized presentation. Customized player for your preferences and you can store the data in a MongoDB via a backend like NodeJS.
Build Realtime Document editor for users for editing, creating and sharing with all the features like Google Docs using Socket.io.
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’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 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 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.
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, 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.
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.
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.
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 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.
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.
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…
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
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.
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…
& 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 ₹ 8000 (Refundable If you are not interested)
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“Guvi offers a cordial, supportive and friendly environment to learners. With excellent support and 24*7 assistance from the mentors guvi does not leave any stone unturned to improvise your learning. Thanks for being such an inspiration to us.”
“Hello folks, if you are thinking of a career transition then, “GUVI” is the best platform to get nourished, indulged and protruded in this upcoming field and also, it doesn’t matter from which engineering background you are or whether you are a working fellow. The best thing I found here is you will always get motivated unknowingly and become curious to learn more & more from the tutorial videos conducted by the IITM professors. GUVI helps me to think about the problem in multidimensional ways. Thanks to the GUVI team”
“They are very approachable and friendly when we ask any doubt or any clarification. Before joining guvi I have already done a course in another institution. When comparing these two institutions, there is a lot of difference in teaching.I love that the mentor who is teaching the course is not only a mentor but a professional too. This is a very unique thing about guvi. I will rate 5/5 to Guvi.”
“GUVI is one of the best platforms to start a new course and a new career.
GUVI is one of the best Platform Where users are been trained with industry experts. It has its own software to practise and a huge number of exercises to master any topic.”
“Guvi helps me to improve my self-confidence in coding skills . The zoom classes are totally comfortable,friendly and easy to learn .It helps me to understand the basic and the core concepts and it helped me to. Build logical skills.I got great mentor's which helped me to bridge between the academics. I'm very proud Thanks to Guvi”
“Guvi offers a cordial, supportive and friendly environment to learners. With excellent support and 24*7 assistance from the mentors guvi does not leave any stone unturned to improvise your learning. Thanks for being such an inspiration to us.”
“Hello folks, if you are thinking of a career transition then, “GUVI” is the best platform to get nourished, indulged and protruded in this upcoming field and also, it doesn’t matter from which engineering background you are or whether you are a working fellow. The best thing I found here is you will always get motivated unknowingly and become curious to learn more & more from the tutorial videos conducted by the IITM professors. GUVI helps me to think in multidimensional ways. Thanks to the GUVI team”
“They are very approachable and friendly when we ask any doubt or any clarification. Before joining guvi I have already done a course in another institution. When comparing these two institutions, there is a lot of difference in teaching.I love that the mentor who is teaching the course is not only a mentor but a professional too. I will rate 5/5 to Guvi.I am thankful for all the people in Guvi for building up such a valuable program for our career.””
“GUVI is one of the best platforms to start a new course and a new career.
GUVI is one of the best Platform Where users are been trained with industry experts. It has its own software to practise and a huge number of exercises to master any topic.”
“GUVI is one of the best platforms to start a new course and a new career.
GUVI is one of the best Platform Where users are been trained with industry experts. It has its own software to practise and a huge number of exercises to master any topic.”
“I have attended several classes conducted by Guvi. It is really helpful to gain knowledge as it is different from other online courses. Here, we have mentors in live sessions, so we will be more concentrated than other online courses where we watch pre recorded videos. Also we are getting weekly tasks that would make us learn even if there is no class. I am thankful for all the people in Guvi for building up such a valuable program for our career.”
“Guvi offers a cordial, supportive and friendly environment to learners. With excellent support and 24*7 assistance from the mentors guvi does not leave any stone unturned to improvise your learning. Thanks for being such an inspiration to us.”
“Hello folks, if you are thinking of a career transition then, “GUVI” is the best platform to get nourished, indulged and protruded in this upcoming field and also, it doesn’t matter from which engineering background you are or whether you are a working fellow. The best thing I found here is you will always get motivated unknowingly and become curious to learn more & more from the tutorial videos conducted by the IITM professors. GUVI helps me to think about the problem in multidimensional ways. Thanks to the GUVI team”
“They are very approachable and friendly when we ask any doubt or any clarification. Before joining guvi I have already done a course in another institution. When comparing these two institutions, there is a lot of difference in teaching.I love that the mentor who is teaching the course is not only a mentor but a professional too. This is a very unique thing about guvi. I will rate 5/5 to Guvi.”
“GUVI is one of the best platforms to start a new course and a new career.
GUVI is one of the best Platform Where users are been trained with industry experts. It has its own software to practise and a huge number of exercises to master any topic.”
“Guvi helps me to improve my self-confidence in coding skills . The zoom classes are totally comfortable,friendly and easy to learn .It helps me to understand the basic and the core concepts and it helped me to. Build logical skills.I got great mentor's which helped me to bridge between the academics. I'm very proud Thanks to Guvi”
A tool-kit specifically developed to boost the coding skills and makes you ever-ready to crack interviews.
A cloud-based module to hone your front end skills without any hassle of local environment setup.
GUVI IDE is an Integrated Development Environment that lets you write, edit, run, test & debug your code.
"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."
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.
ZEN IIT-M Pravartak 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.
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.
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.
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.
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.
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.
Yes, upon completion of the program, you will be accredited with IIT-M Pravartak certification & GUVI Certification
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 +91-9736097320
