Day 1: Introduction to Cloud Computing and Full-Stack Deployment

Session 1: Understanding Cloud Infrastructure and Services

• Overview of AWS, GCP, and Azure cloud services
• Cloud computing models (IaaS, PaaS, SaaS)
• Benefits of deploying full-stack applications in the cloud

Session 2: Setting Up Cloud Development Environments

• Creating AWS, GCP, or Azure accounts
• Setting up cloud CLI tools for remote deployments
• Understanding virtual machines (EC2, Compute Engine, Azure VMs) vs. managed services

Session 3: Hands-on Lab – Deploying a Backend API to the Cloud

• Deploying a Node.js/Django backend API using AWS EC2, GCP Compute Engine, or Azure App Services
• Configuring firewalls, security groups, and IAM roles

Day 2: Cloud Database Management and API Integration

Session 1: Deploying and Managing Cloud Databases

• Using AWS RDS, Google Cloud SQL, and Azure SQL Database for relational data
• NoSQL databases (DynamoDB, Firestore, Cosmos DB) for high availability
• Managing database connections, scaling, and security

Session 2: Connecting Frontend Applications to Cloud APIs

• Setting up RESTful APIs with API Gateway (AWS, GCP, Azure)
• Handling CORS, authentication, and request validation
• Implementing rate limiting and monitoring for APIs

Session 3: Hands-on Lab – Connecting a Cloud Database to a Full-Stack App

• Deploying a cloud-hosted database and integrating it with a backend API
• Testing cloud database queries from a React/Angular frontend

Day 3: Scaling and Load Balancing Full-Stack Applications

Session 1: Implementing Auto-Scaling for Cloud Applications

• Understanding horizontal and vertical scaling
• Using AWS Auto Scaling, GCP App Engine Scaling, and Azure Scale Sets
• Managing load balancing with AWS ELB, GCP Load Balancer, and Azure Traffic Manager

Session 2: Containerization and Kubernetes for Cloud Deployments

• Introduction to Docker and Kubernetes for cloud-native applications
• Deploying containers using AWS Fargate, Google Kubernetes Engine (GKE), and Azure AKS
• Configuring Kubernetes services, deployments, and scaling strategies

Session 3: Hands-on Lab – Deploying a Full-Stack App with Kubernetes

• Containerizing a backend and frontend application with Docker
• Deploying containers to a managed Kubernetes cluster

Day 4: Serverless Computing and CI/CD Pipelines

Session 1: Using Serverless Technologies for Backend Services

• Introduction to AWS Lambda, Google Cloud Functions, and Azure Functions
• Deploying serverless APIs and event-driven microservices
• Managing cold starts, execution limits, and cost optimizations

Session 2: Implementing CI/CD Pipelines for Full-Stack Applications

• Setting up GitHub Actions, AWS CodePipeline, GitLab CI/CD, or Azure DevOps
• Automating build, test, and deployment workflows
• Managing blue-green and rolling deployments in cloud environments

Session 3: Hands-on Lab – Deploying a Serverless Full-Stack Application

• Deploying a React frontend and serverless backend with Firebase Functions
• Automating deployments with a cloud-based CI/CD pipeline

Day 5: Security, Monitoring, and Cost Optimization

Session 1: Securing Cloud-Based Full-Stack Applications

• Implementing IAM roles, API Gateway security, and OAuth authentication
• Using SSL/TLS certificates and HTTPS for secure communication
• Encrypting data at rest and in transit using cloud security best practices

Session 2: Monitoring and Logging Cloud Applications

• Using AWS CloudWatch, Google Cloud Operations Suite, and Azure Monitor
• Implementing real-time logging with ELK Stack (Elasticsearch, Logstash, Kibana)
• Setting up alerts and performance monitoring dashboards

Session 3: Hands-on Lab – Securing and Monitoring a Full-Stack Application

• Configuring logging and alerting for a deployed cloud application
• Implementing role-based access control (RBAC) and security policies