π **Course Title:** Cloud Computing Mastery β Build, Deploy & Scale on the Cloud
π§ **Level:** Beginner to Advanced
π **Duration:** 3 Months
π― **Goal:** Become a job-ready Cloud Engineer skilled in AWS, Azure, DevOps, Kubernetes, Docker, CI/CD, Serverless & Cloud Architecture.
πΉ **Month 1: Cloud Fundamentals + Linux + Networking**
π **Week 1: Introduction to Cloud Computing**
β’ What is Cloud Computing?
β’ Cloud models: IaaS, PaaS, SaaS
β’ Deployment models: Public, Private, Hybrid, Multi-cloud
β’ Cloud providers overview: AWS, Azure, GCP
β’ Virtualization vs Containerization
β’ Global Infrastructure: Regions, Availability Zones, Edge Locations
β’ Shared Responsibility Model
π§ͺ **Exercise:** Compare AWS, Azure & GCP services in a tabular format.
π **Week 2: Linux Essentials for Cloud**
β’ Linux file system & commands
β’ SSH, users, permissions
β’ System monitoring tools (top, htop, netstat)
β’ Shell scripting basics
β’ Package managers (apt, yum)
β’ Configuring web servers (Apache/Nginx)
π§ͺ **Exercise:** Launch an EC2 instance & configure a basic web server.
π **Week 3: Networking for the Cloud**
β’ IP addressing, CIDR, Subnets
β’ DNS, DHCP, NAT, Routing
β’ Load balancers
β’ Firewalls & Security Groups
β’ Virtual Private Clouds (VPC), VNets
β’ API endpoints & gateways
π§ͺ **Exercise:** Design and draw a VPC architecture with public & private subnets.
π **Week 4: Storage & Databases**
β’ Storage types: Block, File, Object
β’ AWS S3 / Azure Blob / GCP Cloud Storage
β’ EBS, EFS, FSx
β’ SQL vs NoSQL
β’ RDS, DynamoDB, Cloud SQL, Cosmos DB
β’ Backup & Restore techniques
β’ Disaster Recovery: RTO, RPO
π§ͺ **Exercise:** Set up an S3 bucket with versioning + upload automation using CLI.
πΉ **Month 2: DevOps, Kubernetes & Serverless**
π³ **Week 5: Containers & Docker**
β’ What are containers?
β’ Docker architecture
β’ Dockerfile, images, volumes, networks
β’ Docker Compose
β’ Best practices for containerization
π§ͺ **Exercise:** Containerize a Flask/Node app & run it locally.
βΈοΈ **Week 6: Kubernetes (K8s) Essentials**
β’ K8s architecture
β’ Pods, Deployments, Services, ReplicaSets
β’ ConfigMaps, Secrets
β’ Ingress controllers
β’ Autoscaling (HPA)
β’ Using Minikube & kubectl
π§ͺ **Project:** Deploy a microservice application on Kubernetes.
βοΈ **Week 7: CI/CD Pipelines**
β’ What is DevOps?
β’ Git/GitHub workflows
β’ CI/CD tools: GitHub Actions, Jenkins, GitLab CI
β’ Build pipelines, test automation
β’ Infrastructure as Code (IaC): Terraform basics
β’ Monitoring: CloudWatch, Prometheus, Grafana
π§ͺ **Exercise:** Create a CI pipeline that builds and deploys a Docker image.
π§ **Week 8: Serverless & Cloud-native Development**
β’ What is Serverless?
β’ AWS Lambda, Azure Functions, Cloud Functions
β’ Event-driven architecture
β’ API Gateway integrations
β’ Step Functions
β’ Serverless databases (DynamoDB, FaunaDB)
π§ͺ **Project:** Build a serverless CRUD API using Lambda + API Gateway.
πΉ **Month 3: Cloud Architecture, Security, Deployment & Capstone**
ποΈ **Week 9: Cloud Architecture & Scaling**
β’ Designing scalable architectures
β’ Multi-tier apps
β’ Message queues (SQS, Pub/Sub, Service Bus)
β’ Caching: Redis, ElastiCache, Memcached
β’ CDN (CloudFront, Azure CDN)
β’ Cost optimization strategies
π§ͺ **Exercise:** Design a fault-tolerant architecture for a video-streaming app.
π **Week 10: Cloud Security + IAM**
β’ Identity & Access Management (IAM)
β’ Policies, Roles, MFA
β’ KMS encryption
β’ Key vaults & secrets management
β’ Network security: WAF, Shield
β’ Auditing & Governance: CloudTrail, Config, Azure Monitor
π§ͺ **Exercise:** Implement IAM roles for a multi-user cloud project.
βοΈ **Week 11: Real Deployment & Cloud Automation**
β’ Terraform advanced: modules, state mgmt
β’ Ansible basics for automation
β’ CI/CD to Cloud deployment
β’ Deploying containerized apps to:
β’ AWS ECS
β’ AWS EKS
β’ Azure AKS
β’ Google GKE
β’ Scaling & Monitoring in the real world
π§ͺ **Project:** Deploy a Dockerized app to AWS EKS using Terraform + CI/CD.
π **Week 12: Career Prep + Capstone**
β’ Cloud Engineer resume building
β’ LinkedIn optimization for cloud jobs
β’ Interview prep (AWS/Azure, DevOps, K8s)
β’ Hands-on cloud case studies
β’ Freelancing: Upwork, Fiverr, Freelancer
β’ Portfolio building with 3β5 major cloud projects
π§ͺ **Capstone Project (Choose One):**
β’ Deploy a full microservices architecture on Kubernetes
β’ Build a serverless e-commerce backend
β’ Infrastructure as Code for a 3-tier app using Terraform
β’ Real-time event processing pipeline
β’ Cloud migration plan for a legacy application
π¦ **Tools & Technologies Covered:**
**Cloud Providers:**
β’ AWS
β’ Azure
β’ Google Cloud Platform
**DevOps & IaC:**
β’ Git, GitHub
β’ Docker
β’ Kubernetes
β’ Terraform
β’ Jenkins / GitHub Actions
**Security & Monitoring:**
β’ IAM
β’ CloudWatch
β’ Grafana
β’ Prometheus
**Developer Tools:**
β’ Linux
β’ VS Code
β’ Postman
β’ CLI Tools (AWS CLI, gcloud, az)
π **Final Outcome:**
By the end of this course, you will be able to:
β Architect, build & deploy full cloud applications
β Use Docker, Kubernetes, CI/CD & Terraform confidently
β Build serverless & microservices-based systems
β Manage cloud security & IAM
β Pass interviews for:
β’ Cloud Engineer
β’ DevOps Engineer
β’ Site Reliability Engineer (SRE)
β’ Cloud Architect (Entry-Level)
Create a comprehensive comparison table of AWS, Azure, and GCP services covering compute, storage, databases, networking, and pricing models. Include at least 15 services per provider with use cases and cost estimates.
Launch an AWS EC2 instance, configure SSH access, install and configure Apache/Nginx web server, deploy a simple HTML page, and set up basic security groups. Document the entire process with screenshots.
Design and document a complete VPC architecture with public and private subnets across multiple availability zones. Include NAT gateways, internet gateways, route tables, security groups, and network ACLs. Create a visual diagram using draw.io or Lucidchart.
Containerize a Flask or Node.js web application using Docker. Create a multi-stage Dockerfile, set up Docker Compose with database and application services, implement volume management, and push the image to Docker Hub. Include best practices documentation.
Deploy a multi-service microservices application on Kubernetes using Minikube. Create deployments, services, ConfigMaps, and Secrets. Implement horizontal pod autoscaling and ingress controller. Document the architecture and deployment process.
Build a complete CI/CD pipeline using GitHub Actions or Jenkins that automatically builds Docker images, runs tests, and deploys to a cloud environment. Include infrastructure provisioning with Terraform and integrate monitoring with CloudWatch or Prometheus.
Build a complete serverless CRUD API using AWS Lambda, API Gateway, and DynamoDB. Implement authentication, error handling, and API documentation. Deploy using AWS SAM or Serverless Framework and test all endpoints using Postman.
Design and implement a comprehensive IAM strategy for a multi-user cloud project. Create IAM users, groups, roles, and policies following the principle of least privilege. Set up MFA, implement key rotation, and create an audit trail using CloudTrail. Document security best practices.
Deploy a containerized application to AWS EKS using Terraform for infrastructure provisioning. Set up the EKS cluster, node groups, load balancer, and monitoring. Implement CI/CD pipeline that automatically deploys to EKS. Include cost optimization strategies and scaling configurations.
Choose one: Deploy a full microservices architecture on Kubernetes, build a serverless e-commerce backend, create Infrastructure as Code for a 3-tier app using Terraform, build a real-time event processing pipeline, or design a cloud migration plan for a legacy application. Include full documentation, architecture diagrams, and deployment guide.
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New Session β’ June 17, 2025
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