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IITM Pravartak and AWS Certified

Advanced Professional course in Big Data and Cloud Analytics

IITM Pravartak and AWS Certified

Advanced Professional course in Big Data and Cloud Analytics

  • Placement Guidance
  • Industry Led Curriculum
  • Hands on Training
  • 20+ Projects
  • IIT-M Pravartak certification
  • Official AWS Certification
  • Placement Guidance
  • 50+ Interviews Guaranteed
  • Industry Led Curriculum
  • Hands on Training
  • 20+ Projects
  • Industry-recognized IIT-M Pravartak certification

 5 Months (weekend) | Live Online Classes

Eligibility : Graduates & Working Professionals

5 Months (weekend) | Live Online Classes

Eligibility : Graduates & Working Professionals

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About the Program

About the Program

The IITM Pravartak and AWS Certified Advanced Professional course in Big Data and Cloud Analytics is a leading-edge Technological Program paving your way to an assured lucrative career. It is an integrated course directed by GUVI - an IIT-Madras incubated company. Instructed by the industry’s best Technical Experts & Founders(Ex-Paypal Employees), this program offers mentorship through Data Engineering Experts and directs you to the Fortune 500 companies. The vision is to make the premium organizations discover the Right Talent.

Why GUVI?

Why GUVI?

Zen Class is one of the industry’s leading Project Based Career Programs offered by GUVI that promises Placement Assistance
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.

We are accredited by

We are accredited by

Program Eligibility

Program Eligibility 

Check the only eligibility criteria that we have for our Zen class: Students & Working Professionals, seeking opportunities to upskill their Data Engineering proficiency for faster career growth.

 

Program Overview

A program designed by Subject Matter Experts approved by NASSCOM

Live Online Classes + Lifetime recorded videos

Unlimited access to practice CodeKata, Webkata and IDE

One-on-One with Mentors

Globally Recognized Certification from IIT-M Pravartak

A digital portfolio through "Github"

Upto 12 months of EMI options available + 7-day Refund Policy

Globally Recognized Certification from IIT-M Pravartak

A digital portfolio through "Github"

Upto 12 months of EMI options available + 7-day Refund Policy

Ask me anything sessions with Industry Experts

Our Awards & Achievements

"Most Trusted Vernacular Edtech Brand" 

Awarded by ZEE Digital during ZEE National Achievers Awards 2022.

AI-for-India 1.0 -  Guinness World Record Holder

Broke the Record for most users taking an online computer programming lesson in 24 Hrs.

"Best Online Personalised Learning Programs" 

Awarded by ENTREPRENEUR INDIA for having the best online personalized learning programs

Master the IITM Pravartak and AWS Certified Advanced Professional course in Big Data and Cloud Analytics

Master the IITM Pravartak and AWS Certified Advanced Professional course in Big Data and Cloud Analytics

Learn from Industry Experts

Learn from Industry Experts

Get personalized mentorship and guidance from several Industry experts who work in leading companies

Curriculum

Curriculum

Get introduced to the different aspects of Data Engineering and stay abreast with the advanced tools and technologies that go hand-in-hand to make a brand a fire. Master the Data Engineering skills that the present tycoons & top Data Engineers follow!

Live Classes


Tools Covered

Live Classes

Module 1 : Python

● Why python ?
● Python IDE
● Hello World Program
● Variables & Names
● String Basics
● List
● Tuple
● Dictionaries
● Conditional Statements
● For and While Loop , TRY AND EXCEPT
● Numbers and Math Functions
● Common Errors in Python

Module 2 : Python(Advance)

● FUNCTIONS , Lambda, Filters and Map
● Functions as Arguments
● List Comprehension
● Debugging in Python
● Class and Objects
● Inheritance , polymorphism , abstractions
● Liner and non-Linear Data structures
● Singly , doubly ,ciculer Linked list , Binary tree
● Bubble , insertion , merge ,quick , Heap sorting
● File Handling (Text , Json , csv )
● Iterators
● Pickling, Multi Threading

Module 3 : SQL

Sub module 1

  • Joins
  • SQL Outer Join
  • SQL Left Join
  • SQL Right Join
  • SQL Full Join
  • SQL Cross Join
  • Integrating Python SQL
  • Window functions(rank, denserank, row number, etc)

Sub module 2

  • Data Types, Variables, and
    Constants
  • Conditional
    Structures(IF,CASE,GOTO, and
    NULL)
  • Stored procedures and Function
  • Sub quaries
Module 4 : RDBMS

● MYSQL
● SQL KEYS
● PRIMARY KEY
● FOREIGN KEY
● UNIQUE KEY
● composite key
● triggers
● indexes
● transaction
● views

Module 5 : System Design

● Load balancer and High availbility
● Horizontal vs Vertical Scaling
● Monolithic vs microservice
● Distributed messing service and Aws SQS
● CDN (content deliver Network)
● Caching , scalability
● Aws API gateway

Module 6 : Mongo DB

Sub module 1

● CAP Theorem
● Structured and
unstructured data
● OLTP vs OLAP
● Schema vs Schema less
● Dimensional modelling
● Cluster set and up
Monitoring"
● Insert First Data
● CRUD Operations
● Insert Many
● Update and Update Many
● Delete and Delete Many

Sub module 2

● Projection
● Intro to Embed Documents
● Embed Documents in
Action
● Adding Arrays
● Fetching Data From
Structured Data
● Schema Types
● Types of Data in MongoDB
● Relationship between
data's
● Aggregation

Sub module 3

● One to One using
Embed Method
● One to One using
Reference Many
● One to Many Embed
● One to ManyReference Method

● Assessment-
MongoDB

Module 7 : Shell Script

● Intrduction to Linux
● Basic Shell script commands
● Creating Frameworks
● Cron jobs, Email alerts
● Running Batch jobs

Module 8 : Git

● Introduction to Git
● Git commonds
● cloning repository in vs code
● Working on cloning branches, commit, push, add, merge from vs code

Module 9 : AWS Cloud

Sub module 1

● Introduction to Cloud
● AWS Services overview
● Server vs serverless
● IAM ,roles , policies
● EC2 , VM’s
● S3
● RDS – MySQL Free tier database ,
● Integrating RDS to Local System and
Integrating RDS to Python Environment

Sub module 2

● Cloud data warehouse
● Cloud Datalake
● Cloud database (Dynamo DB)
● Lambda
● Cloud Watch,
● Integratrating All the Above
componets and RDS
● Monitoring ETL pipline with Step
funtion
● Glue, Data crawler, Athena
● monitoring ETL pipeline with step
funtion

Module 10 : Snowflake

● Introduction to snowflake
● Diffrence between Datalake,Datawarehouse,Deltalake,Database
● Dimension and Fact Tables
● Roles and users
● data modeling , snowpipe
● MLOAP and ROLAP
● Partitioning and indexing
● Data mart and data cubes & caching
● data masking
● handling json files
● data loading from S3 and tranformation

Tools Covered

Module 11 : Airflow

● Why and what is airflow
● airflow UI
● Run first dag
● grid view
● graph view
● landing times view
● calender view
● gantt view
● Code view
● Core concepts of airflow
● DAGs
● Scope
● Operators
● control flow
● Task and task instance
● Database and executors
● ETL/ELT process implementation
● monitoring ETL pipeline with aitflow

Module 12 : BigData

Sub module 1

● Installing Hive, Installing MSQL
Locally ,
● Running Hive Query to integrat Local
and HDFS file system
● Installing Pig,
● Working with Pig script and itegrating
with local and HDFS file system
● Installing HBase working with HBase
Qurey
● Installing Cassandra and working
with Cassandra

Sub module 2

● Installing Sqoop and fume and do the
data Migration,
● Local RDBMS to HDFS ,
● Local RDBMS to Hive,
● Local RDBMS to HBase,
● HDFS to local RDBMS
● Hive to RDBMS

Module 13 : Kafka

● Introduction to kafka
● producer, consumer, Consumer Groups
● topics , offset , partitions, brokers
● Zookeper,replication
● Batch vs realtime streaming
● real streaming process
● Assignment and Task

Module 14 : Spark

Sub module 1

● Introduction to Apache Spark
● Spark architecture
● Hadoop vs Spark
● RDDs , Dag , tranformation ,
actions
● Data Partitioning and Shuffling
● DataFrame & Spark SQL
● Streaming data handling in
Spark

Sub module 2

● Spark batch data
processing(CSV,
JSON,parquet files)
● AWS Data Management Tools
[AWS EMR , GLUE jobs]
● Assignment & Assessments

Module 15 : Data cleaning

● Structured vs Unstructured Data using Pandas
● Common Data issues and how to clean them
● Data cleaning with Pandas and pyspark\
● Handling Json Data
● Meaningful data transformation (Scaling and
● Normalization)
● Example: Movies Data Set Cleaning

Module 16 : Prometheus

Sub module 1

● server,architecture
● installation
● understading prom UI
● node exporters
● promql (agg , fun ,opertaors,datatypes)
● integrating python with prom
● counter , gauge , summary ,histogram
● recording rules
● alerting rules
● alert manager ,installation of alert
manager
● grouping, inhebiting , throttling ,
silencing alerts

Sub module 2

● Salck integration with prom with alert
manager
● pager duty integration with alert
manager
● Black box exporters,installation
● Mysql exporter
● Integrating aws and prom
● aws cloudwatch and prom
● Implementing graffana dashboard to
prom"

Module 17 : Data dog

● Metrics
● Dashboards
● Alerts
● Monitors
● Tracing
● Logs monitoring
● Integrations

Module 18 : Docker

● What is docker
● Installation of docker
● Docker images , containers● Docker file
● Docker volume
● Docker registry
● Containerzing applaciton with docker hands-on

Module 19 : Kubernetes

● Nodes
● Pods
● ReplicaSets
● Deployments
● Namespaces
● Ingress

Live Classes

Technologies covered

Tools Covered

Curriculum

Curriculum

Get introduced to the different aspects of Data Engineering and stay abreast with the advanced tools and technologies that go hand-in-hand to make a brand a fire. Master the Data Engineering skills that the present tycoons & top Data Engineers follow!

Module 1 : Python

Students explore Python, a versatile and beginner-friendly programming language.
Python is known for its readability and wide range of applications, from web
development and data analysis to artificial intelligence and automation. It offers a rich
ecosystem of libraries and tools, making it a popular choice for both novice and
experienced programmers.● Why python ?
● Python IDE
● Hello World Program
● Variables & Names
● String Basics
● List
● Tuple
● Dictionaries
● Conditional Statements
● For and While Loop , TRY AND EXCEPT
● Numbers and Math Functions
● Common Errors in Python

Module 2 : Python(Advance)

Students will dive into some advanced concepts like comprehensions, file
handling, regular expressions, object oriented programming, pickling and
many more essential concepts.
● FUNCTIONS , Lambda, Filters and Map
● Functions as Arguments
● List Comprehension
● Debugging in Python
● Class and Objects
● Inheritance , polymorphism , abstractions
● Liner and non-Linear Data structures
● Singly , doubly ,ciculer Linked list , Binary tree
● Bubble , insertion , merge ,quick , Heap sorting
● File Handling (Text , Json , csv )
● Iterators
● Pickling, Multi Threading

Module 3 : SQL

Students dive into SQL (Structured Query Language) to acquire the skills needed for
managing and querying relational databases. SQL enables them to retrieve, update, and
manipulate data, making it a fundamental tool for working with structured data in
various applications.

Sub module 4 Hr

  • Joins
  • SQL Outer Join
  • SQL Left Join
  • SQL Right Join
  • SQL Full Join
  • SQL Cross Join
  • Integrating Python SQL
  • Window functions(rank, denserank, row number, etc)

Sub module 2 Hr

  • Data Types, Variables, and
    Constants
  • Conditional
    Structures(IF,CASE,GOTO, and
    NULL)
  • Stored procedures and Function
  • Sub quaries
Module 4 : RDBMS

Students explore RDBMS (Relational Database Management System) to understand the
database technology that organizes data into structured tables with defined
relationships.
● MYSQL
● SQL KEYS
● PRIMARY KEY
● FOREIGN KEY
● UNIQUE KEY
● composite key
● triggers
● indexes
● transaction
● views

Module 5 : System Design

● Load balancer and High availbility
● Horizontal vs Vertical Scaling
● Monolithic vs microservice
● Distributed messing service and Aws SQS
● CDN (content deliver Network)
● Caching , scalability
● Aws API gateway

Module 6 : Mongo DB

Students delve into MongoDB to understand this popular NoSQL database, which stores
data in flexible, JSON-like documents. They learn how MongoDB's scalability and speed
make it suitable for handling large volumes of unstructured data

Sub module 4 Hr

● CAP Theorem
● Structured and
unstructured data
● OLTP vs OLAP
● Schema vs Schema less
● Dimensional modelling
● Cluster set and up
Monitoring"
● Insert First Data
● CRUD Operations
● Insert Many
● Update and Update Many
● Delete and Delete Many

Sub module 4 Hr

● Projection
● Intro to Embed Documents
● Embed Documents in
Action
● Adding Arrays
● Fetching Data From
Structured Data
● Schema Types
● Types of Data in MongoDB
● Relationship between
data's
● Aggregation

Sub module 2 Hr

● One to One using
Embed Method
● One to One using
Reference Many
● One to Many Embed
● One to Many
Reference Method

● Assessment-
MongoDB

Module 7 : Shell Script

Students explore shell scripting in the Linux environment, where they learn to write and
execute scripts using the command-line interface. Shell scripts are text files containing a series of commands, and students discover how to automate tasks
● Intrduction to Linux
● Basic Shell script commands
● Creating Frameworks
● Cron jobs, Email alerts
● Running Batch jobs

Module 8 : Git

Students study Git, a distributed version control system, to learn how it tracks changes in software code. Git allows collaborative development, enabling multiple people to work on the same project simultaneously while managing different versions of code. It is essential for software development, as it tracks revisions, facilitates collaboration, and helps in code management.
● Introduction to Git
● Git commonds
● cloning repository in vs code
● Working on cloning branches, commit ,push ,add , merge from vs code

Module 9 : AWS Cloud

Students delve into cloud computing, which involves delivering various computing
services (such as servers, storage, databases, networking, software, and analytics) over
the internet.

Sub module 4 Hr

● Introduction to Cloud
● AWS Services overview
● Server vs serverless
● IAM ,roles , policies
● EC2 , VM’s
● S3
● RDS – MySQL Free tier database ,
● Integrating RDS to Local System and
Integrating RDS to Python Environment

Sub module 4 Hr

● Cloud data warehouse
● Cloud Datalake
● Cloud database (Dynamo DB)
● Lambda
● Cloud Watch,
● Integratrating All the Above
componets and RDS
● Monitoring ETL pipline with Step
funtion
● Glue, Data crawler, Athena
● monitoring ETL pipeline with step
funtion

Module 10 : Snowflake

Students study Snowflake to grasp modern cloud-based data warehousing, focusing on its architecture, data sharing, scalability, and data analytics applications.
applications.
● introduction to snowflake
● Diffrence between Datalake,Datawarehouse,Deltalake,Database
● Dimension and Fact Tables
● Roles and users
● data modeling , snowpipe
● MLOAP and ROLAP
● Partitioning and indexing
● Data mart and data cubes & caching
● data masking
● handling json files
● data loading from S3 and tranformation

Module 11 : Airflow

Students explore Airflow to understand its role in orchestrating and automating
workflows, scheduling tasks, managing data pipelines, and monitoring job execution.
● Why and what is airflow
● airflow UI
● Run first dag
● grid view
● graph view
● landing times view
● calender view
● gantt view
● Code view
● Core concepts of airflow
● DAGs
● Scope
● Operators
● control flow
● Task and task instance
● Database and executors
● ETL/ELT process implementation
● monitoring ETL pipeline with aitflow

Module 12 : BigData

Students delve into big data to learn about handling and analyzing vast datasets, using
tools like Hadoop, Hive , and HDFS , PIG for insights and decision-making.

Sub module 4 Hr

● Installing Hive, Installing MSQL
Locally ,
● Running Hive Query to integrat Local
and HDFS file system
● Installing Pig,
● Working with Pig script and itegrating
with local and HDFS file system
● Installing HBase working with HBase
Qurey
● Installing Cassandra and working
with Cassandra

Sub module 4 Hr

● Installing Sqoop and fume and do the
data Migration,
● Local RDBMS to HDFS ,
● Local RDBMS to Hive,
● Local RDBMS to HBase,
● HDFS to local RDBMS
● Hive to RDBMS

Module 13 : Kafka

Students learn about Kafka, an open-source stream processing platform. Kafka is used
for ingesting, storing, processing, and distributing real-time data streams and explore Kafka's architecture, topics, producers, consumers, and its role in handling large
volumes of data with low latency.
● Introduction to kafka
● producer, consumer, Consumer Groups
● topics , offset , partitions, brokers
● Zookeper,replication
● Batch vs realtime streaming
● real streaming process
● Assignment and Task

Module 14 : Spark

Students will explore Spark is an open-source, distributed computing framework
that provides high-speed, in-memory data processing for big data analytics.

Sub module 4 Hr

● Introduction to Apache Spark
● Spark architecture
● Hadoop vs Spark
● RDDs , Dag , tranformation ,
actions
● Data Partitioning and Shuffling
● DataFrame & Spark SQL
● Streaming data handling in
Spark

Sub module 2 Hr

● Spark batch data
processing(CSV,
JSON,parquet files)
● AWS Data Management Tools
[AWS EMR , GLUE jobs]
● Assignment & Assessments

Data cleaning

Students engage in data cleaning to understand the process of identifying and
correcting errors or inconsistencies in datasets, ensuring data accuracy and reliability
for analysis and reporting.
● Structured vs Unstructured Data using Pandas
● Common Data issues and how to clean them
● Data cleaning with Pandas and pyspark\
● Handling Json Data
● Meaningful data transformation (Scaling and
● Normalization)
● Example: Movies Data Set Cleaning

Module 16 : Prometheus

Students study Prometheus to explore its role as an open-source monitoring and
alerting toolkit, used for collecting and visualizing metrics from various systems, aiding
in performance optimization and issue detection.

Sub module 4 Hr

● server,architecture
● installation
● understading prom UI
● node exporters
● promql (agg , fun ,opertaors,datatypes)
● integrating python with prom
● counter , gauge , summary ,histogram
● recording rules
● alerting rules
● alert manager ,installation of alert
manager
● grouping, inhebiting , throttling ,
silencing alerts

Sub module 3 Hr

● Salck integration with prom with alert
manager
● pager duty integration with alert
manager
● Black box exporters,installation
● Mysql exporter
● Integrating aws and prom
● aws cloudwatch and prom
● Implementing graffana dashboard to
prom"

Module 17 : Data dog

● Metrics
● Dashboards
● Alerts
● Monitors
● Tracing
● Logs monitoring
● Integrations

Module 18 : Docker

Students learn about Docker to understand containerization technology, which allows
them to package applications and their dependencies into portable, efficient containers. Docker facilitates easy deployment, scaling, and management of applications across various environments.
● What is docker
● Installation of docker
● Docker images , containers● Docker file
● Docker volume
● Docker registry
● Containerzing applaciton with docker hands-on

Module 19 : Kubernetes

● Nodes
● Pods
● ReplicaSets
● Deployments
● Namespaces
● Ingress


Live Classes with Mentor Support

Technologies covered

Tools Covered

Benefits of GUVI's Zen Class

LIVE Online Classes

One-on-One with Mentors

Free Demo Classes

Industry oreinted Projects

₹21 Lakhs Highest Salary 

200+ Hiring Partners

EMI options available

Ask me anything sessions

Designed by Industry experts

Certification from GUVI

175% Highest Hike

Benefits of Zen Class

Weekend LIVE classes

One-on-One with Mentors

Free Demo Classes

Industry-oreinted Projects

₹21 Lakhs Highest Salary

Designed by Industry Experts

Certification approved by NASSCOM

200+ Hiring Partners

175% Highest Hike

Certifications You Get

Certifications You Get

With IIT-M Pravartak certification for an Advanced Programming Professional Certificate &

Official AWS Certification

Steps to get you placed

Step 1

Enroll in our program

Step 2

Attend Live classes + Pursue self-paced learning

Step 3

Complete the projects assigned by Industry Experts

Step 4

Secure a Digital Portfolio in “Github”

Step 5  

Attend Mock Interviews with our HR team & Technical Round with Industry Experts

Step 6

Receive Placement Guidance

Certification from GUVI

Certification

  • Certificate will be issued after the successful completion of the course by GUVI.
  • Get Certified for each module
  • Globally recognized enough to outshine in Interviews.
  • Showcases your talent & skillset on LinkedIn.

Pay just Rs 8000 (Refundable) and Pre-Book your seat

Program Fee

₹89,999

(without IIT-M Pravartak Certification)

Program Fee

₹1,30,095  ₹1,23,900

(with IIT-M Pravartak Certification)

Start learning today & Pay in easy EMIs! Get maximum flexibility to learn at your own pace. EMI Options available

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GUVI Learners Review

GUVI Learners Review

What our students say about ZEN CLASS?

“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.”

Author
Gokak Mohd Ishtiyaque

“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”

Author
Shubham Nehete

“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.”

Author
Vishally

“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.”

Author
Tejas Samanthapudi

“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”

Author
Gokila

“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.”

Gokak Mohd Ishtiyaque

“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”

Shubham Nehete

“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.””

Vishally

“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.”

Tejas Samanthapudi

“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.”

Gokila

“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.”

Gokul

“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.”

Author
Gokak Mohd Ishtiyaque

“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”

Author
Shubham Nehete

“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.”

Author
Vishally

“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.”

Author
Tejas Samanthapudi

“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”

Author
Gokila

Where do our Students work?

& more

Our Happy Learners about us!

Frequently Asked Question

What is Data Engineering?

Data engineering is the technique of designing and creating systems that can efficiently collect, store, and interpret data for analytical or operational uses. It is an aspect of data science that focuses on practical data applications.

Who is eligible for this program?

There is just one eligibility criteria for ZEN Class: Students & Working Professionals seeking an opportunity to upskill their Data Engineering proficiency for faster career growth. To keep the chances fair, we provide a PreBootcamp session for Zen Class Interested students to understand how ready they are to be a Data Engineer. A Small Eligibility test is conducted right after the Pre-Bootcamp will provide you with a final ticket to be part of Zen Bootcamp.

I’m from a non-engineering background or New to programming. Am I eligible for this course?

With the objective of creating as many job opportunities for our students, we do intend to help every student who is willing to “make the extra catching up needed” in terms of understanding Business & Data Analysis. We assess this via a comprehensive PreBootcamp where you can understand how ready you are for the Zen Bootcamp. In case you don’t make the eligibility,our mentors will charter the course aheads for you with some Guvi Lessons.
 

Will this program provide any certification?

Along with 100% job placement support, this Data Engineering Program extends an industry-recognized certification from the IIT-M incubated company GUVI. Procure the essential skills and make an extraordinary career in Data Engineering !

What is the duration & mode of the session?

Our comprehensive program is a 3 Months (weekday) / 5 Months (weekend) Certification Bootcamp that will facilitate live online subject-matter expert-driven classes. 

How is this program different from the other programs?

Promising hands-on training, our program comprises live sessions + 20+ Projects, guaranteeing 50+ interviews complemented with resume reviews and a real-time project portfolio. 

What tools are covered in this program?

The tools & technologies covered in this program include Python, SQL, Shell Script, Orchestrator, Cloud Services, Big Data, Data Cleaning, Data Visualization, etc. 

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  +91-9736097320

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  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
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  • Benin(+229)
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  • Costa Rica(+506)
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  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
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  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
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  • France(+33)
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  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
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  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
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  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
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  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
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  • Guatemala(+502)
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  • Armenia(+374)
  • Angola(+244)
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  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
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Please fill all the required fields!
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