🎓 Course Title: Cloud Computing Mastery — Build, Deploy & Scale on the Cloud

🧠 Level: Beginner to Advanced

🕒 Duration: 3 Months

🎯 Goal: Become a job-ready Cloud Engineer skilled in AWS, Azure, DevOps, Kubernetes, Docker, CI/CD, Serverless & Cloud Architecture.

🔹 Month 1: Cloud Fundamentals + Linux + Networking

📘 Week 1: Introduction to Cloud Computing

• What is Cloud Computing?

• Cloud models: IaaS, PaaS, SaaS

• Deployment models: Public, Private, Hybrid, Multi-cloud

• Cloud providers overview: AWS, Azure, GCP

• Virtualization vs Containerization

• Global Infrastructure: Regions, Availability Zones, Edge Locations

• Shared Responsibility Model

🧪 Exercise: Compare AWS, Azure & GCP services in a tabular format.

📘 Week 2: Linux Essentials for Cloud

• Linux file system & commands

• SSH, users, permissions

• System monitoring tools (top, htop, netstat)

• Shell scripting basics

• Package managers (apt, yum)

• Configuring web servers (Apache/Nginx)

🧪 Exercise: Launch an EC2 instance & configure a basic web server.

📘 Week 3: Networking for the Cloud

• IP addressing, CIDR, Subnets

• DNS, DHCP, NAT, Routing

• Load balancers

• Firewalls & Security Groups

• Virtual Private Clouds (VPC), VNets

• API endpoints & gateways

🧪 Exercise: Design and draw a VPC architecture with public & private subnets.

📘 Week 4: Storage & Databases

• Storage types: Block, File, Object

• AWS S3 / Azure Blob / GCP Cloud Storage

• EBS, EFS, FSx

• SQL vs NoSQL

• RDS, DynamoDB, Cloud SQL, Cosmos DB

• Backup & Restore techniques

• Disaster Recovery: RTO, RPO

🧪 Exercise: Set up an S3 bucket with versioning + upload automation using CLI.

🔹 Month 2: DevOps, Kubernetes & Serverless

🐳 Week 5: Containers & Docker

• What are containers?

• Docker architecture

• Dockerfile, images, volumes, networks

• Docker Compose

• Best practices for containerization

🧪 Exercise: Containerize a Flask/Node app & run it locally.

☸️ Week 6: Kubernetes (K8s) Essentials

• K8s architecture

• Pods, Deployments, Services, ReplicaSets

• ConfigMaps, Secrets

• Ingress controllers

• Autoscaling (HPA)

• Using Minikube & kubectl

🧪 Project: Deploy a microservice application on Kubernetes.

⚙️ Week 7: CI/CD Pipelines

• What is DevOps?

• Git/GitHub workflows

• CI/CD tools: GitHub Actions, Jenkins, GitLab CI

• Build pipelines, test automation

• Infrastructure as Code (IaC): Terraform basics

• Monitoring: CloudWatch, Prometheus, Grafana

🧪 Exercise: Create a CI pipeline that builds and deploys a Docker image.

🧠 Week 8: Serverless & Cloud-native Development

• What is Serverless?

• AWS Lambda, Azure Functions, Cloud Functions

• Event-driven architecture

• API Gateway integrations

• Step Functions

• Serverless databases (DynamoDB, FaunaDB)

🧪 Project: Build a serverless CRUD API using Lambda + API Gateway.

🔹 Month 3: Cloud Architecture, Security, Deployment & Capstone

🏗️ Week 9: Cloud Architecture & Scaling

• Designing scalable architectures

• Multi-tier apps

• Message queues (SQS, Pub/Sub, Service Bus)

• Caching: Redis, ElastiCache, Memcached

• CDN (CloudFront, Azure CDN)

• Cost optimization strategies

🧪 Exercise: Design a fault-tolerant architecture for a video-streaming app.

🔐 Week 10: Cloud Security + IAM

• Identity & Access Management (IAM)

• Policies, Roles, MFA

• KMS encryption

• Key vaults & secrets management

• Network security: WAF, Shield

• Auditing & Governance: CloudTrail, Config, Azure Monitor

🧪 Exercise: Implement IAM roles for a multi-user cloud project.

☁️ Week 11: Real Deployment & Cloud Automation

• Terraform advanced: modules, state mgmt

• Ansible basics for automation

• CI/CD to Cloud deployment

• Deploying containerized apps to:

• AWS ECS

• AWS EKS

• Azure AKS

• Google GKE

• Scaling & Monitoring in the real world

🧪 Project: Deploy a Dockerized app to AWS EKS using Terraform + CI/CD.

🏆 Week 12: Career Prep + Capstone

• Cloud Engineer resume building

• LinkedIn optimization for cloud jobs

• Interview prep (AWS/Azure, DevOps, K8s)

• Hands-on cloud case studies

• Freelancing: Upwork, Fiverr, Freelancer

• Portfolio building with 3–5 major cloud projects

🧪 Capstone Project (Choose One):

• Deploy a full microservices architecture on Kubernetes

• Build a serverless e-commerce backend

• Infrastructure as Code for a 3-tier app using Terraform

• Real-time event processing pipeline

• Cloud migration plan for a legacy application

📦 Tools & Technologies Covered:

Cloud Providers:

• AWS

• Azure

• Google Cloud Platform

DevOps & IaC:

• Git, GitHub

• Docker

• Kubernetes

• Terraform

• Jenkins / GitHub Actions

Security & Monitoring:

• IAM

• CloudWatch

• Grafana

• Prometheus

Developer Tools:

• Linux

• VS Code

• Postman

• CLI Tools (AWS CLI, gcloud, az)

🏁 Final Outcome:

By the end of this course, you will be able to:

✔ Architect, build & deploy full cloud applications

✔ Use Docker, Kubernetes, CI/CD & Terraform confidently

✔ Build serverless & microservices-based systems

✔ Manage cloud security & IAM

✔ Pass interviews for:

• Cloud Engineer

• DevOps Engineer

• Site Reliability Engineer (SRE)

• Cloud Architect (Entry-Level)