
What is Serverless?
Serverless is a cloud computing model where the cloud provider manages server infrastructure, allowing developers to focus solely on writing code without worrying about server management.
Why Serverless?
Serverless enables automatic scaling, reduces operational overhead, and offers cost-efficiency by charging only for actual usage instead of reserved resources.
How Serverless?
By deploying functions or applications on a cloud platform that automatically handles provisioning, scaling, and maintenance, enabling rapid development and seamless execution.
Learn how to create a Google Cloud account and navigate the billing dashboard to manage and monitor your cloud expenses.
Set up the Google Cloud SDK to access and manage your Google Cloud resources from the command line efficiently. This tool simplifies cloud development and administration.
Google App Engine is a fully managed Platform-as-a-Service (PaaS) that lets you build and deploy scalable web applications without managing the underlying infrastructure. It automatically handles scaling, load balancing, and application health.
Google App Engine is a fully managed Platform-as-a-Service (PaaS) that enables you to build and deploy scalable web applications without managing infrastructure. In the hands-on part, you'll deploy a sample app, explore automatic scaling, and monitor app performance directly on the platform.
Google Cloud Run is a fully managed serverless platform that lets you run containerized applications instantly and scale automatically. It abstracts infrastructure management, allowing developers to deploy stateless containers that respond to HTTP requests without worrying about servers.
Deploy a sample containerized app to Cloud Run, test its automatic scaling features, and manage revisions through the Google Cloud Console or CLI.
Google Cloud Functions is a serverless compute service that lets you run event-driven code without managing servers. It automatically scales and responds to events from various Google Cloud services and HTTP requests.
Hands-on with Google Cloud Functions: Write and deploy a simple function triggered by HTTP requests or cloud events, then test its execution in real time using the Google Cloud Console or CLI.
Google Cloud Functions background functions run in response to events from cloud services like Pub/Sub, Cloud Storage, or Firebase, enabling automated, event-driven workflows without manual triggers.
Learn how to delete a serverless project safely, including removing associated resources and configurations to avoid unnecessary costs. Use cloud console or CLI commands to clean up your project efficiently.
Google Kubernetes Engine (GKE) architecture consists of a managed control plane that handles cluster management and worker nodes that run containerized applications. GKE automates tasks like scaling, upgrades, and health monitoring, providing a reliable environment for Kubernetes workloads.
deploy applications to your GKE cluster via the command line.
Deploy to GKE from GCR directly using UI
What: Serverless in AWS lets you build and run applications without managing servers, focusing only on your code.
Why: It offers automatic scaling, reduced operational overhead, and pay-per-use cost efficiency.
How: AWS handles infrastructure management using services like Lambda, API Gateway, and DynamoDB to run event-driven, scalable applications.
AWS Serverless Model: Combines fully managed services to enable developers to build applications quickly with built-in scalability, security, and high availability—eliminating the need to provision or manage servers.
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that makes it easy to run, scale, and secure Docker containers on AWS. ECS handles cluster management, scheduling, and integrates seamlessly with other AWS services for reliable container deployments.
Build the Future with Serverless Computing — Across AWS, Azure, and Google Cloud
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
It’s no surprise that companies across industries are rapidly adopting serverless architectures. Learning it now gives you a strong edge for modern cloud roles and real-world projects.
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
Google Cloud Serverless
Cloud Functions for lightweight event handling
App Engine and Cloud Run for scalable services and APIs
GKE for container-based serverless patterns
Azure Serverless
Azure Functions for event-driven logic
Azure App Services and Azure Container Apps for modern hosting
AKS for scalable container orchestration
You’ll learn how to:
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
This is a hands-on, practical course, focused on real cloud workflows rather than theory.
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
Your applications only incur cost when they are actually used — making serverless one of the most efficient cloud models available today.
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
Is this course right for you?
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
Basic cloud knowledge is helpful, but a strong willingness to learn is more important. You don’t need prior serverless experience.
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.