Become A Cloud Data Engineer In 6 Months and crack a role at companies like
Learn from the top 1% in the industry and launch your career in Cloud Data Engineering with hands-on projects & job-ready skills with our in house Placement Assistance
Designed by
Sanket Singh and Riya Bansal
Interview Guarantee Program
Learn Cloud Data engineering from mentors who have worked with brands like
Application
deadline
deadline
25th July, 2024
Base Camp
STARTs
STARTs
4th August, 2024
Learn to use these tools effectively
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Your Program Mentors
Riya Bansal
Software Engineer
Sanket Singh
Software Engineer
Sajal Sirohi
Senior Data Engineer
Abhishek Rajbhanu
Principle Data Engineer
Ravi Kant
Sr. Software Engineer - Cloud
Jay Jain
Senior Data Engineer
Priyal Doshi
Data Scientist
Anand Bibhuti
Sr. Software Developer
Who is this program for?
Freshers in any field
Learn the ins & outs of what life looks like as a Cloud Data En. So you can make an informed decision on further choosing your career path.
Working Professionals
Understand your current skill set and develop the skills required to successfully transition into Data Engineering.
Data enthusiasts with ~7 years of experience
Hone your Data skillset and become valuable for your company
Anyone curious about what Data Engineers truly do
Any idea what a career in Data Engineering Domain truly looks like? Learn about Data and Tech in this course
Here's what our learners say!
Swarup Kumbhar
Process executive
Whole experience was great. Even after having zero knowledge about the Cloud Data Engineering field, lots of doubts and concepts were cleared
Amber
SDET - Grab
It was an incredibly enriching experience. The course content was comprehensive, covering everything from the fundamentals of big data technologies to advanced warehousing.
Manish
SDET - Grab
Anyone looking to start with Cloud Data Engineering, I would recommend enrolling for course Cloud data Engineering from Growth School I have enrolled for the course and am finding it extremely helpful. It starts with the basic and covers hands on of most cloud data services in Amazon Web Services (AWS)
Rohan Ajay
SDET - Grab
Overall expert has been positive as we got exposure to a lot of cloud and data engineering tools and methodologies and how to transition into a data engineering career by picking the right mix of these tools.
Ravikant Verma Reddy
SDET - Grab
It was good learning experience at growth school, working with like minded professional upgarding my skills and technical knowledge. The recorded session are very self explanatory and live session help us to clear doubts of practical difficulties we are facing. Our mentor are very energetic and inspiratinal. I am very happy to join this learning plaform.
Deepak Venkatesh
Fresher
Excellent content and a great course to kickstart my Cloud Data Engineering journey.
This is What You Will Learn?
Module 1
Introduction to Data Engineering
Gain a foundational understanding of the field of data engineering:
- You’ll learn about the roles and responsibilities of a data engineer, the processes involved in data engineering, and an overview of the data engineering landscape
Module 2
Fundamentals of Cloud Computing
Understand the basics and significance of cloud computing in data engineering:
- This module covers cloud computing architectures, different types of cloud models (public, private, hybrid), and cloud services (SaaS, PaaS, IaaS). You’ll also explore the applications and future prospects of cloud computing.
Module 3
Linux and Shell Scripting
Acquire practical skills in Linux and shell scripting, essential for data engineering tasks:
- You’ll learn Linux basics, shell or terminal commands, bash scripting, and how to schedule and debug scripts using cron jobs.
Module 4
Python Programming
Master Python programming, a critical skill for data engineers:
- This module takes you from basic to advanced Python concepts, focusing on aspects relevant to data engineering like data structures, control structures, functions, and libraries like Pandas, Numpy, and Matplotlib/seaborn.
Module 5
Big Data Fundamentals and DBMS SQL
Understand big data technologies and database management
- You’ll explore Hadoop, HDFS, Data Lakes, and the fundamentals of DBMS and SQL. This includes relational and NoSQL databases, with a focus on MongoDB, and various SQL concepts and functions.
Module 6
NoSQL with MongoDB and Apache Cassandra
Dive into NoSQL databases, their architecture, and use cases.
- Learn the differences between SQL and NoSQL, the CAP Theorem, and get hands-on experience with NoSQL databases like Cassandra and MongoDB, including their setup and query execution.
Module 7
Data Extraction and Migration Tools
Learn about tools and techniques for data extraction and migration.
- This module covers various data formats and tools for data extraction and loading, with practical demos on several databases and data platforms.
Module 8
Data Migration Tool for Data Engineer
Gain expertise in data migration tools across different cloud platforms.
- You’ll learn about cloud services from AWS, GCP, and Azure, and work on a mini-project to build a data warehouse, applying your knowledge of data migration tools
Module 9
Cloud Computation and Services for Data Engineer
Understand cloud services and their application in data engineering.
- This module covers CI/CD pipelines, containerization with Docker and Kubernetes, ETL modeling, and data processing frameworks, providing a comprehensive view of cloud services in data engineering.
Module 10
Data Pipeline Automation
Master the skills to automate data pipelines.
- This module covers the entire data workflow process, including data ingestion, processing, transformation, storage, and export. You’ll also learn about orchestration, data quality, visualization, and monitoring.e roles and responsibilities of a data engineer, the processes involved in data engineering, and an overview of the data engineering landscape
Module 11
Final Touch-Up for Being a Data Engineer
Prepare for real-world data engineering roles.
- Focus on monitoring and managing data pipelines, ensuring data quality, and undertaking a major project to build a real-time data pipeline, solidifying your practical skills.
Module 12
Discovering the Right JobFit
Equip yourself with the knowledge to find the right job in data engineering.
- This module helps you identify suitable roles, prepare for interviews, and understand the job market for data engineers.
Module 13
Final Touch-Up for Being a Data Engineer
Getting Interview ready
- Commencing Interview Preparation Revision is Underrated The Art of Evaluating Without Burning Out
Mini Capstone 1
Simulate eCommerce logs for analytical pipelines.
This project has Batch and Real-time pipelines. Batch analyzes user behavior using Azure services for insights like visitor trends and marketing opportunities. Real-time focuses on quick threat detection using Azure tools for security against attacks like DDoS and Bots.
Mini Capstone 2
Building a Data Warehouse for E-commerce
In this Hive project, the objective is to design a data warehouse for an e-commerce application and perform Hive analytics on Sales and Customer Demographics data using big data tools such as Sqoop, Spark, and HDFS
Major Capstone
Replicate on-premise IoT data migration.
In the 1st part of this project, we'll use AWS CDK and services like IoT Core, Kinesis Firehose, Lambda, S3, EC2, MariaDB, and Secrets Manager to simulate an On-Premise Data Center with real-time IoT data. The follow-up project involves migrating and analyzing this data to "AWS Cloud Premise" via DMS, RDS, Glue, TimeStream, and QuickSight. The third project delves deeper into Infrastructure-as-a-Code (IaC) concepts, focusing on AWS CDK (Cloud Development Kit).
Learn and Navigate through the future - Use AI to your advantage
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Exclusive Module on Leveraging AI & ChatGPT as a Data
- Understand ChatGPT and Become a
Master Prompter - Gen AI for all data roles
- How Gen AI can help you in data
engineering - How Gen AI can help Data Scientists
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Get life-time access to an exclusive community
Of like-minded people looking to build, accelerate or enhance their existing careers by learning strategic growth frameworks.Through this community, you can….
Collaborate on real-life projects
Meet and learn with others pursuing the same path as you
Community Accountability
Growthschool fellows collaborate on projects, find opportunities to learn and grow together while keeping each other accountable.
Get ALL your questions answered on LIVES
Participate in live Q&As, debates, and other healthy contests to drive home the learning.
How does the program work?
On-Demand videos
6 months of step-by-step pre-recorded video training & course material to help you dive deep into the fundamentals of Cloud Data Engineering, crack case interviews & kick-start your career as a
Cloud Data Engineer
Industry case studies and projects
Learn the exact roles & responsibilities of a Cloud Data Engineer working on an real life projects and case studies
Weekly LIVE Sessions with Mentors
Learn Cloud Data Engineering the right way by understanding all aspects of CDE in a practical approach in live sessions.
Lifetime Access to Community
Become part of a community where you can network, share opportunities, and build relations beyond work.
By the end of the program you’ll
have:
Make your 0-1 journey in Data engineering, with opportunities to work through real-world Data problems
With improved problem-solving skills, break down complex business problems into structural components and come up with solutions that create a massive impact.
Increased understanding of the Data & Tech industry through insights from the mentors as well as the community.
Crack case interviews at top companies as a Data Engineer with the right strategies and approach to follow
Offline Community Events
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Bonus
(Only for first 50 people)
1
Access to Growthschool Data engineering Workshops for free
2
Access to 100+ Interivew questions and cheatsheet to crack your next Data role
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Before you ask!
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Yes! You will be certified for this program.
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Validate your learning
Receive an official certificate signed by your mentor vouching that you’ve completed the course and validate your learning with shareable proof.
Show it off!
Flaunt your GrowthSchool Certificate on your CV or your LinkedIn and wow prospective employers.
How the Journey looks?
Growthschool Data engineering Program is an invite-only 6 Month immersive cohort-based program with a lifelong community to help you achieve your goals and build relationships.
Application Process
Fill out the application form to apply for the Data engineering Program
Application Review
Experts review each application selecting only the people who are aligned with our goal and values.
Selection
Successful candidates will receive an email.
Fellowship Kick-off & Onboarding
Welcome to the 6 months of madness, to learn, and hit your goals.
Build Relations
Meet & network with your fellows
Share
Celebrate your achievements and learnings with the community
Program Details
Elite
at
₹90,000/-
Access to weekly program Modules & Workbooks of Cloud Data Engineering Mentorship Program- Access to weekend live classes
- Access to 2 Mini and 1 Mega Capstone Projects
- Personalised Project Review Reports
- Learning of all the 3 Clouds (AWS/AZURE/GCP)
- Access to 1 Cloud at the time of Capstone Projects
- Access to Hackathons
- Access to Cloud Data Engineering Linkedin Community
- Personalised Cloud Data Engineering interview guidance
- Linkedin Optimization + Placement Assistance
- 1 Mentor guidance calls
- Mock Interviews with our Mentors (1:1)
- Interview Preparation Kit
- Add on program, 4 weeks Gen AI for Data
Premium
at
₹60,000/-
- Access to weekly program Modules & Workbooks of Cloud Data Engineering Mentorship Program
- Access to weekend live classes
- Personalised Project Review Reports
- Learning of all the 3 Clouds (AWS/AZURE/GCP)
- Access to Hackathons
- Access to Cloud Data Engineering Linkedin Community
- Personalised Cloud Data Engineering interview guidance
- Linkedin Optimization + Placement Assistance (6+0.5)
Starter
at
₹30,000/-
- Access to weekly program Modules & Workbooks of Cloud Data Engineering Program
- Access to weekend live classes
- Access to 2 Projects and 1 Mega Capstone Projects
- Learning of all the 3 Clouds (AWS/AZURE/GCP)
- Access to our Linkedin Community
Top 10% will get Job Assistance
3 easy steps:
- Complete the program and be in top 10%
- We will introduce you to our Hiring Partners
- Practice your interviews with us and secure the job!
Upskill your Team;
Upscale your Business
Upscale your Business
Get the Top 1% Mentors to train your team!
Invest in the skills & knowledge of your team and unlock new levels of efficiency and innovation where business growth is not just a goal, but an ongoing journey.
Why learn with GrowthSchool?
On-Demand video content
Project driven approach to achieve outcomes
Access to network of 1000+ learners
Office hours with Mentors for clearing blockers
Individuals can enroll in Groups to avail Huge Discounts
Save up to 15% on
Program fees
Show DiscountProgram fees
Upskill your team
Someone from our team will get in touch with you
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FAQs: Here’s everything you may ask...
Who is this program for?
Data Engineer roles require basic technical skills hence people coming from any profession like Sales, Marketing, Software Engineers/Developers/QAs, Analysts (Data/Business) and many others already possess some foundational soft skills that are transferable for a Data Engineer role.
What is the application process?
This is an exclusive program open to only 100 serious candidates. Hence, just like a typical hiring process in a company we have a thorough qualification process as well:- It starts with an elaborate application form where we gauge the background and intent of the candidate- If you fill the form completely, you are then scheduled for a qualifier interview to understand where you are in your career journey and how we can help accelerate that. You will pass the interview if you are proactive, enthusiastic and serious about the transition.- We also have limited scholarships for those affected by layoffs.
Are there any prerequisites for this program?
This program has a basic requirement to know the languages like Python and SQL (only overview). Just bring yourself and your hunger to learn!
Is this Job Guarantee Program?
No, there is no job guarantee from our end. We provide job assistance which includes:- Building your portfolio with minimum 3 unique projects- Interview Preparation through 1 on 1 with Mentors (If taken) + Practice Questions- Access to our community of Mentors and learners for scoring referrals.- Passing your profile to potential hiring managers and partners.
When do the live group calls & guest sessions happen?
The live group call with a dedicated mentor will happen after 8pm on a weekday. Whereas, the live guest session happens every Sunday/Saturday morning at 11AM or 12PM
What if I can’t make the live sessions?
Growthschool’s Cloud Data Engineer Career Accelerator Program is designed to work with your schedule because we run polls in the cohort before setting the time.
We strongly encourage you to attend the Live calls, as it's an opportunity to validate/resolve your top burning questions with an expert.
Of course, you can always watch the session recordings and participate in discussions or leave your feedback on our community forum.
We strongly encourage you to attend the Live calls, as it's an opportunity to validate/resolve your top burning questions with an expert.
Of course, you can always watch the session recordings and participate in discussions or leave your feedback on our community forum.
How much access do I get to the mentors?
Our mentors are available on discord group for async communication, but they’ll also be active during the live sessions and answer any doubts/queries you raise then. You can also approach them for feedback during both group and guest sessions.
How much time can I expect to spend on the program each week?
At least 5-7 hours per week, for the 24 weeks of the program. This frequency will help you get to your goal in the stipulated time.
This program is a sprint, and you’ll be asked to execute things as well. The guest/group live sessions will be 90 minutes long each. And the recorded content for the week will also be ~3 hours. Which is a 6 hour commitment from our end.
This program is a sprint, and you’ll be asked to execute things as well. The guest/group live sessions will be 90 minutes long each. And the recorded content for the week will also be ~3 hours. Which is a 6 hour commitment from our end.
What’s included with the program?
With your tuition, you’ll have lifetime access to all the pre-study material, recordings of the live cohort sessions, guest sessions, and a private online community where you can interact with your batchmates.You’ll retain access to the program materials and community indefinitely after the program ends.
Who are your placement partners?
We have a healthy blend of 60% of hiring managers and recruiters database and 40% of third party recruitment agencies who have companies from Fortune 500, Unicorn Startups and FAANG under their portfolio. But we believe our community and mentor network is very strong and will enable you with referrals if performed and networked well through the program
When will I get my GrowthSchool Certificate?
Individuals who successfully complete their 80% course work i.e. cover all learning modules & project submissions, are eligible to receive a Certificate of Completion from GrowthSchool which acts as a seal of trust for your proof of work under the guidance of industry leaders.
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Refund Policy
©️ 2024 Sisinty Pvt. Ltd. All rights reserved.
Refund Policy
Thanks for your interest in GrowthSchool. We ensure to provide an excellent experience and learning to all our users. As with any online purchase experience, some terms and conditions govern the Refund Policy. When you purchase a program on GrowthSchool, you agree to our Terms & Conditions and refund policy.
Our refund policy is as follows:
Once you purchase and make the required or partial payment, there will not be any changes or modifications to the same, nor will there be any refund.
GrowthSchool reserves the right to postpone/cancel the course, change the structure of the course or change the list of speakers. If GrowthSchool cancels the entire course, we'll refund 100% of the course fees to the Subscriber.
Once the program begins, we will initiate no refund if the course timeline is extended.
We will issue no refund if the course commencement date is changed.
No refunds or credits will be available for participants who fail to attend the course.
There will be no refunds if the structure/content of the course is altered.
GrowthSchool reserves the right to revise the terms & conditions of this policy without any prior notice.
The course is non-transferable.
The course cannot be transferred to others in case you are unable to take the course under any circumstances.
Our refund policy is as follows:
Once you purchase and make the required or partial payment, there will not be any changes or modifications to the same, nor will there be any refund.
GrowthSchool reserves the right to postpone/cancel the course, change the structure of the course or change the list of speakers. If GrowthSchool cancels the entire course, we'll refund 100% of the course fees to the Subscriber.
Once the program begins, we will initiate no refund if the course timeline is extended.
We will issue no refund if the course commencement date is changed.
No refunds or credits will be available for participants who fail to attend the course.
There will be no refunds if the structure/content of the course is altered.
GrowthSchool reserves the right to revise the terms & conditions of this policy without any prior notice.
The course is non-transferable.
The course cannot be transferred to others in case you are unable to take the course under any circumstances.