This cloud computing course teaches how apps run on AWS, Azure and Google Cloud, starting from what the cloud actually is. Classes are live, in Hinglish, in a small batch of up to 30. You practise in real cloud consoles and a mentor reviews every assignment.
At a glance
Tools
Who it's for
Before you start
Outcomes
Real skills you can show — every project goes on your GitHub.
Syllabus
Each module has a clear goal, live classes, a lab session and practice you push to GitHub. Your mentor reviews it and tells you exactly how to improve.
Module 1
Explain what the cloud is and how providers organise their data centres around the world.
Practice: Map a familiar app (like a food-delivery app) to cloud services
Module 2
Launch servers, store files and set up a private network on AWS.
AWS ConsoleAWS CLI
Practice: Launch a Linux server and host a simple web server on it
Module 3
Do the same core tasks on Azure and see how the ideas carry across providers.
Azure PortalAzure CLI
Practice: Create a virtual machine and a storage account, then delete them cleanly
Module 4
Use Google Cloud's console and Cloud Shell to run apps, store data and query it.
Google Cloud Consolegcloud CLI
Practice: Deploy a small web app on Cloud Run or App Engine
Module 5
Publish a website and an API without managing any server yourself.
AWS LambdaAzure FunctionsAPI Gateway
Practice: Static website on S3, Azure Blob Storage or Google Cloud Storage · A serverless REST API with AWS Lambda or Azure Functions
Module 6
Make a cloud app available to many users and keep it safe.
Practice: Put two servers behind a load balancer and watch traffic spread
Module 7
Watch a running system, get alerted when something breaks, and keep the bill under control.
CloudWatchAzure MonitorGoogle Cloud Monitoring
Practice: Set a budget alert and a CPU alarm on a test server
Module 8
Combine storage, compute and monitoring into one working cloud project you can show.
Practice: A website with a serverless backend, a diagram and a README on GitHub
Projects
Pick one, plan it like a real team with tickets, build it, and present it. It becomes the centrepiece of your portfolio.
Publish your portfolio from object storage with HTTPS, then monitor it.
Launch a secure Linux VM, install a web server and serve your own page.
Build a small notes or to-do API with AWS Lambda or Azure Functions and a database.
Design a small app on paper, deploy it, and show its cost alerts and clean-up steps.
Opening soon
This specialisation isn't scheduled yet. Join the waitlist and we'll tell you first when a batch opens. We open the courses with the most interest first.
Want to start now?
Where it can lead
Roles this skill helps you towards
No course can guarantee a job. We help you build real skills, real projects and a portfolio you can show.
FAQ
The batch is not scheduled yet. Join the waitlist and we will tell you first, before we open enrolment. No dates or prices are fixed today.
Classes are live in Hinglish, a mix of Hindi and English. Notes, commands and code are in English, because cloud consoles and job work use English.
Some providers ask for a card even for free tiers, and we do not tell anyone to spend money. We use free tiers and sandbox accounts, and we shut resources down after class, so no one gets a surprise cloud bill. Where a card is a problem, we use sandboxes and demos from the mentor.
Not much. If you can run commands in a terminal and read a simple script, you can follow. If you are brand new to coding, start with our Python course first.
We teach AWS in the most depth, then show Azure and Google Cloud. The ideas (servers, storage, networks, permissions) are the same everywhere, so you can move between them.
Yes, a laptop or desktop with a stable internet connection. A phone or Android tablet is not enough for cloud labs.
Keep going
This DevOps course teaches you to package apps in Docker, run them on Kubernetes and automate builds with Jenkins. Classes are live in Hinglish, in a small batch of up to 30. Every lab is reviewed by a mentor and your work goes to GitHub.
This CI/CD and Terraform course shows you how to test and ship code automatically and how to create cloud servers from code. Classes are live in Hinglish, in a small batch. You build real pipelines and a mentor reviews every assignment.
This backend development course teaches you to build the server side of real apps: REST APIs, databases, login and security, using Python, Django, Django REST Framework and PostgreSQL. Classes are live, in Hinglish, in a small batch, and a mentor reviews every assignment. A short overview module also shows how Node.js/Express and Flask do the same jobs.
This site reliability engineering course teaches how teams keep apps fast and available, using SLIs, SLOs, monitoring and incident response. Classes are live in Hinglish, in a small batch of up to 30, with hands-on labs and mentor review.
Baking your code to give you a pie
Join a live demo class, meet the mentor and see how a CodeBakerz batch works. No payment, no pressure — decide after.
