Grow Grid Live Track • Guided Industrial Training

Cloud Architecture & Computing

Master AWS, Azure, and Google Cloud platforms. Design, deploy, and automate scalable cloud infrastructures using Docker, Kubernetes, Terraform, and CI/CD pipelines.

Duration: 8–12 Weeks (Hybrid) Level: Beginner → Advanced Mode: Recorded + Project Centric

Internship Vision

Scalable Systems Design

Design, deploy, and manage highly resilient and scalable cloud architectures.

Multi-Cloud Mastery

Gain direct practical experience across AWS, Microsoft Azure, and GCP.

Containers & Orchestration

Master containerization with Docker and cluster orchestration using Kubernetes.

DevOps & IaC Automation

Implement automated CI/CD pipelines and Infrastructure as Code with Terraform.

Competencies

Core Learning Highlights

Cloud Architecture & Models (IaaS, PaaS, SaaS)

Containerization with Docker

Compute, Storage & VPC Networking

Cloud Security & Identity Management (IAM)

Serverless Computing (Lambda, Functions)

Managed Cloud Databases & Data Pipelines

DevOps & CI/CD Automation

Infrastructure as Code (Terraform)

Kubernetes Orchestration & Microservices

Monitoring with Prometheus & Grafana

Multi-Cloud & Hybrid System Design

Cloud Cost Optimization & Security Auditing

Curriculum Roadmap

Phase-Wise Learning Journey

Key Topics

Cloud Computing Service Models (IaaS, PaaS, SaaS) & Global Architecture
Virtualization Principles & Containerization Fundamentals with Docker
Compute & Scalable Storage Systems (AWS EC2, S3, Azure Blob Storage)
Cloud Networking & Security Protocols (VPC Setup, Subnets, IAM, Security Groups)

Hands-On Projects

Mini Project 1: Static Website Deployment on AWS S3

Configure static web hosting, bucket policies, and global CDN delivery via AWS S3 and CloudFront.

Mini Project 2: Containerized Web Application

Package a multi-service web application using Docker containers and write optimized Dockerfiles.

Mini Project 3: Secure Isolated VPC Network Design

Architect a custom VPC network with public/private subnets, NAT Gateways, and strict IAM security policies.

Cloud & DevOps Tech Stack

Gain hands-on proficiency with industry-leading cloud engines and automation platforms.

AWSMicrosoft AzureGoogle Cloud PlatformDockerKubernetesTerraformGitHub ActionsJenkinsCloudWatchPrometheusGrafana

Capstone Portfolio

Real-World Cloud Capstone Projects

High Availability Architecture

Scalable Application with Load Balancing & Auto-Scaling

Build a highly available cloud architecture featuring Elastic Load Balancing, Auto-Scaling Groups, and multi-AZ database replication.

DevOps & Orchestration

Automated Microservices CI/CD Pipeline & Kubernetes Cluster

Implement Infrastructure as Code with Terraform to provision a Kubernetes cluster, backed by automated GitHub Actions CI/CD workflows.

Serverless & Cloud Data

Event-Driven Serverless Data Processing Pipeline

Develop a fault-tolerant data ingestion pipeline leveraging API Gateway, Lambda, DynamoDB, and CloudWatch metrics.

Enterprise Cloud Architecture

Final Capstone: Production End-to-End Enterprise Cloud Solution

Architect, secure, deploy, and monitor a resilient production application using multi-cloud strategies, CI/CD, IaC, and custom dashboards.

Career Readiness

Program Learning Outcomes

Design and implement secure, fault-tolerant cloud architectures

Deploy microservices applications using containers & Kubernetes

Automate infrastructure provisioning with Terraform & CI/CD

Build secure VPC networks, firewalls, and identity systems (IAM)

Monitor, log, and optimize cloud infrastructure performance & cost

Become job-ready for roles as Cloud Engineer, DevOps Engineer & Solutions Architect