Cloud & DevOpsBeginner to Advanced

Cloud Computing

The Cloud Computing training program is an intensive 4-week, self-paced curriculum focused on real-world cloud infrastructure, cloud engineering, and modern DevOps deployment. There are no live classes—you learn by directly architecting and deploying live cloud systems on Amazon Web Services (AWS) and container platforms. You will progress from foundational Amazon S3 storage, bucket policies, and static web hosting in Week 1, to EC2 virtual machine administration, Flask application deployment, and SQS asynchronous message queues in Week 2, global CloudFront CDN edge caching, serverless AWS Lambda triggers, and high-availability Three-Tier VPC architectures in Week 3, and automated EventBridge ETL data pipelines, Docker containers, and Kubernetes (EKS) cluster deployments in Week 4.

Duration

Format

Self-Paced • 100% Project-Based (No Live Classes)

Level

Beginner to Advanced

Projects

11 Hands-on Cloud Deployments

₹4,999

Enroll now ↗

Program overview

What you'll learn.

Acquire practical, portfolio-grade cloud engineering and DevOps capabilities. Each week delivers targeted architectural briefs that challenge you to configure IAM security permissions, provision virtual computing instances, automate pipelines with Python Boto3, manage decoupled microservices, and orchestrate containerized workloads in Kubernetes clusters. By completing 11 hands-on cloud deployments, you build a versatile GitHub portfolio showcasing proficiency across AWS S3, EC2, RDS, VPC, CloudFront, SQS, Lambda, EventBridge, Docker, and Kubernetes.

100% Project-Driven Curriculum (No live classes, learn & deploy on your own schedule)

Industry Cloud Stack: AWS (S3, EC2, RDS, VPC, CloudFront, SQS, Lambda, EventBridge, SNS), Docker, Kubernetes & Python Boto3

11 Real-World Cloud Deployments covering Web Hosting, Three-Tier VPCs, Serverless & EKS Clusters

Weekly Project Submissions & Architecture Reviews with Actionable Technical Feedback

Verified Training & Internship Completion Certificate upon final review

Curriculum

A path with purpose.

Each module builds on the last, leaving you with skills you can actually demonstrate.

Module 1: Cloud Storage Foundations & S3 Static Hosting

S3 bucket security, static hosting, IAM permissions, and Python Boto3 automation.

Week 1

Module 2: Cloud Compute, Linux Administration & Asynchronous SQS

EC2 virtual servers, Nginx configuration, Flask deployments, and SQS message queues.

Week 2

Module 3: CloudFront CDN, Serverless Lambda & Three-Tier VPCs

Global edge caching, S3-triggered Lambda functions, and isolated VPC three-tier networks.

Week 3

Module 4: Automated Cloud Pipelines & Kubernetes Orchestration

EventBridge ETL automation, SNS alerts, Docker containerization, and Kubernetes EKS clusters.

Week 4

By the end

You'll leave with more than a certificate.

Provision and secure object storage using Amazon S3 buckets, IAM access control policies, and static hosting

Automate cloud storage operations programmatically using Python and the AWS SDK (Boto3)

Launch, configure, and secure Amazon EC2 Linux virtual servers with Nginx/Apache web servers

Deploy production Python Flask backends on EC2 with WSGI application servers and firewall security groups

Architect decoupled, asynchronous microservices using Amazon SQS message queues and consumer workers

Course FAQs

Questions before you begin?

Here are the details learners ask about most often.

No. This training program is 100% self-paced and project-based. You will receive structured project briefs, architectural blueprints, and step-by-step requirements to configure and deploy cloud infrastructure independently on your own schedule.

Ready to begin?

Build your future in Cloud Computing.

Apply, get admitted to a batch, then pay your fee in flexible installments from your learning dashboard.