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
Learn to use these tools effectively
Your Program Mentors
Who is this program for?
Here's what our learners say!
This is What You Will Learn?
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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
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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.
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You’ll learn Linux basics, shell or terminal commands, bash scripting, and how to schedule and debug scripts using cron jobs.
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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.
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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.
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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.
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This module covers various data formats and tools for data extraction and loading, with practical demos on several databases and data platforms.
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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
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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.
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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
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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.
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This module helps you identify suitable roles, prepare for interviews, and understand the job market for data engineers.
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Commencing Interview Preparation Revision is Underrated The Art of Evaluating Without Burning Out
Mini Capstone 1
Mini Capstone 2
Major Capstone
Learn and Navigate through the future - Use AI to your advantage
- 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
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….
How does the program work?
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
Learn the exact roles & responsibilities of a Cloud Data Engineer working on an real life projects and case studies
Learn Cloud Data Engineering the right way by understanding all aspects of CDE in a practical approach in live sessions.
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:
Bonus
Beyond the Online Classroom: Exclusive Offline events
Country-WideOffline Events and Meet-ups
Beyond the Online Classroom: Exclusive Offline events
Country-WideOffline Events and Meet-ups
3-Day Offline Immersion Event
Other Offline Events
Monthly Welcome Brunch
Join the Inner Circle! Connect, share, and build connections over great food—monthly in your city.
Community Events
Learn directly from leaders, ask tough questions, and expand your horizons at these offline events.
Offline Graduation Ceremony
Celebrate in Style! Mark your achievements with a graduation ceremony to remember.
Before you ask!
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
Application  Review
Selection
Fellowship Kick-off & Onboarding
Build Relations
Share
Ready To Become an In-Demand Data Engineer?
(AWS, GCP, AZURE)
Program Details
Elite
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Access to weekly program Modules & Workbooks of  Cloud Data Engineering  Mentorship Program
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Access to weekend live classes
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Access to 2 Mini and 1 Mega Capstone Projects
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Personalised Project Review Reports
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Learning of all the 3 Clouds (AWS/AZURE/GCP)
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Access to 1 Cloud at the time of Capstone Projects
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Access to Hackathons
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Access to  Cloud Data Engineering Linkedin Community
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Personalised  Cloud Data Engineering  interview guidance
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Linkedin Optimization + Placement Assistance
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1 Mentor guidance calls
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Mock Interviews with our Mentors (1:1)
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Interview Preparation Kit
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Add on program, 4 weeks Gen AI for Data
Premium
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Access to weekly program Modules & Workbooks of  Cloud Data Engineering  Mentorship Program
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Access to weekend live classes
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Personalised Project Review Reports
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Learning of all the 3 Clouds (AWS/AZURE/GCP)
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Access to Hackathons
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Access to  Cloud Data Engineering Linkedin Community
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Personalised  Cloud Data Engineering  interview guidance
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Linkedin Optimization + Placement Assistance (6+0.5)
Starter
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Access to weekly program Modules & Workbooks of Cloud Data Engineering Program
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Access to weekend live classes
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Access to 2 Projects and 1 Mega Capstone Projects
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Learning of all the 3 Clouds (AWS/AZURE/GCP)
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Access to our Linkedin Community
Upscale your Business
Program fees
Upskill your team
FAQs: Here’s everything you may ask...
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We strongly encourage you to attend the Live calls, as it's an opportunity to validate/resolve your top burning questions with an expert.
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Of course, you can always watch the session recordings and participate in discussions or leave your feedback on our community forum.
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.