Serverless Computing On Cloud (Google + AWS + Azure)
Build and Deploy Scalable Serverless Applications on AWS, Azure, and Google Cloud – Master serverless computing on cloud
IT and Software ,Cloud Computing,
Lectures -39
Resources -32
Duration -6 hours
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Course Description
Serverless computing is redefining how modern applications are built and deployed. Instead of managing servers, scaling infrastructure, and worrying about operational overhead, serverless lets you focus entirely on writing code and delivering features.
This course is designed to help you master serverless architecture across all three major cloud providers — AWS, Google Cloud, and Microsoft Azure — using real-world scenarios and hands-on labs.
Now is the perfect time to learn serverless.
Traditional hosting requires provisioning servers, maintaining capacity, handling scaling, and securing infrastructure. With serverless, all of that is abstracted away. You define what should run and when, and the cloud platform takes care of the rest.
As a result, serverless applications are:
- More cost-efficient (you pay only when your code runs)
- Highly scalable by default
- Faster to deploy
- Easier to secure and maintain
What this course offers
This course starts with core serverless concepts and then guides you through building, deploying, and operating serverless workloads across multiple clouds.
You will work hands-on with:
AWS Serverless & Containers
- AWS Lambda for event-driven execution
- API-based workloads without server management
- Elastic Beanstalk, ECS, and EKS for containerized and hybrid serverless architectures
- Cloud Functions for lightweight event handling
- App Engine and Cloud Run for scalable services and APIs
- GKE for container-based serverless patterns
- Azure Functions for event-driven logic
- Azure App Services and Azure Container Apps for modern hosting
- AKS for scalable container orchestration
- Build APIs and backend services without managing servers
- Deploy web applications in a fully serverless manner
- Design scalable, cloud-native architectures
- Secure serverless workloads
- Optimize performance and cost
- Understand when to use functions, containers, or managed platforms
Why learn Serverless?
Serverless enables you to:
- Focus on application logic instead of infrastructure
- Scale automatically without manual intervention
- Reduce operational complexity
- Build modern web and mobile backends faster
After completing this course, you will be able to
- Design and deploy serverless applications across AWS, Azure, and Google Cloud
- Choose the right serverless service for different workloads
- Build APIs and backend services without managing servers
- Deploy web and mobile applications using serverless frameworks
- Apply serverless principles to real-world DevOps and cloud projects
This course is a great fit if:
- You want to build scalable applications without managing infrastructure
- You are a developer, DevOps engineer, or cloud professional exploring modern architectures
- You want practical, real-world exposure to multi-cloud serverless
- You are interested in reducing operational effort while improving scalability and reliability
Serverless is not just a trend — it’s a fundamental shift in how applications are built.
If you’re ready to focus more on code, move faster, and work with next-generation cloud technologies, this course is for you.
Goals
- Serverless concepts of cloud
- google app engine (GAE)
- google cloud run (GCR)
- google cloud functions (GCF)
- Kubernetes
- google kubernetes engine (GKE)
- docker
- scheduler
- google sdk setup and usage
- google cloud shell
- google projects
- monitoring
- billing
- cloud computing
- google cloud serverless containers
- serverless architecture
- serverless computing
- serverless
- serverless microservices
- serverless application model
- serverless web application
- Basic Docker Usage
- What a Serverless application is ?
- Deploying a Serverless Web Application
- Cloud Build on Google Cloud Platform
- Google Cloud Repository
- Build, secure and run Web/Apps/APIs without managing any servers using GAE, GCF, Cloud Run and GKE
- Web Application Deployment to Google Cloud
- Cloud Build on Google Cloud Platform
- Deploying docker containers on google cloud
- Deploying a Serverless Grunt Web Application
- Create your own web game using Nodejs, grunt
- google serverless
- cloud serverless
- Introduction to serverless
- lambda
- elastic beanstalk
Prerequisites
- None
- Basic knowledge of software, IT.
- willingness to learn about cloud and serverless model
Curriculum
Check out the detailed breakdown of what’s inside the course
Serverless : Introduction
1 Lectures
-
Serverless : Introduction 06:15 06:15
Serverless : Google Cloud Registration
1 Lectures
Serverless : SetUp Google Cloud SDK
1 Lectures
Serverless : Google App Engine
2 Lectures
Serverless : GCR
2 Lectures
Serverless : GCF
3 Lectures
Serverless : Deleting the Project
1 Lectures
Serverless : Bonus Lecture : GKE
3 Lectures
AWS Serverless Intro
1 Lectures
ECS : Introduction
1 Lectures
ECS : Cleanup | Teardown
1 Lectures
ECS : Using Terraform for automation
2 Lectures
EBS : Intro ,Manual and automated deployment
2 Lectures
Lambda Architecture
1 Lectures
Lambda : RDS Postgresql creation
2 Lectures
Lambda : lambda source code python, lambda.zip creation containing python files
1 Lectures
Lambda : Manual Infra and other resources creation
2 Lectures
Lambda : lambda creation using terraform automation
2 Lectures
AWS Kubernetes Serverless
3 Lectures
Azure Serverless
7 Lectures
Instructor Details
Amrit Choudhary
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