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
deadline
STARTs
Your Program Mentors
Guest Mentors
Who is this program for?
Here's what our learners say!
You do not need to come from a traditional career
path to secure your spot as a Cloud Data Engineer
This 6-months cohort-based course is ALL you need to get your
foot in the door as a Cloud Data engineer.
Taught by 15+ Cloud Data Engineers, you’ll learn everything from the fundamentals of Data engineering followed by real-life problem solving assignments so you can dive deeper into the roles & responsibilities of a Cloud Data Engineer.
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
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
Final Touch-Up for Being a Data Engineer
- Getting Interview ready
Commencing Interview Preparation Revision is Underrated The Art of Evaluating Without Burning Out
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
Learn to use these tools effectively
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.
Learning doesn’t have to be lonely.Learn, Discuss, Network, Grow together!
Every week, there will be a live session for you to discuss and share ideas with your peers, and jam on different projects so you can learn while having fun.
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:
Offline Community Events
Bonus
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
Program Details
Elite
- 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 Premium Discord Community
- Personalised Cloud Data Engineering interview guidance
- Linkedin Optimization + Placement Assistance
- 1 Mentor guidance calls
- 3 Mock Interviews with our Mentors (1:1)
- Add on program, 4 weeks Gen AI for Data
Premium
- 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 Premium Discord Community
- Personalised Cloud Data Engineering interview guidance
- Linkedin Optimization + Placement Assistance (6+0.5)
Starter
- 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 Premium Discord Community
Top 10% will get Job Assistance
- Complete the program and be in top 10%
- We will introduce you to our Hiring Partners
- Practice your interviews with us and ssecure the job!
In the last 10 hours, 6 learners have jumped on board with us
Upscale your Business
Program fees
Upskill your team
FAQs: Here’s everything you may ask...
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.
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.