• Objective: Master AWS EC2 instances to deploy virtual machines on demand.
• Key Concepts:
  • Launching, configuring, and managing EC2 instances
  • Instance types and selection
  • Security groups, key pairs, and IAM roles for EC2 instances
  • EC2 Auto Scaling and Load Balancing

Module 4: Azure Virtual Machines (VM)

• Objective: Learn to deploy, configure, and manage virtual machines on Microsoft Azure.
• Key Concepts:
  • Creating and managing VMs in Azure
  • VM sizes, disks, and networking
  • Azure Resource Manager (ARM) templates
  • VM scaling and load balancing

Module 5: GCP Compute Engine

• Objective: Understand how to work with Google Cloud's Compute Engine to provision virtual machines.
• Key Concepts:
  • Creating and configuring VM instances in GCP
  • Managing machine types and persistent disks
  • GCP networking, firewall rules, and load balancing
  • Auto-scaling and instance templates

Module 6: AWS VPC (Virtual Private Cloud)

• Objective: Learn how to create isolated network environments within AWS.
• Key Concepts:
  • VPC design and architecture
  • Subnets, route tables, and internet gateways
  • Network Access Control Lists (NACLs) and Security Groups
  • Peering, VPNs, and Direct Connect

Module 7: Azure VNET (Virtual Network)

• Objective: Explore Azure's networking capabilities and learn how to create and manage virtual networks.
• Key Concepts:
  • Creating and configuring Azure Virtual Networks
  • Subnetting, Network Security Groups (NSGs), and Routing
  • Peering and VPN Gateway configurations
  • Azure ExpressRoute for dedicated connections

Module 8: GCP Cloud Virtual Network

• Objective: Delve into Google Cloud's networking features, including VPC setup and management.
• Key Concepts:
  • Creating Virtual Private Cloud (VPC) networks in GCP
  • Subnetting, routing, and peering
  • Firewall rules, security configurations
  • Cloud Interconnect and VPN for hybrid setups

Module 9: AWS S3 Storage Service

• Objective: Learn how to use AWS S3 for scalable object storage.
• Key Concepts:
  • Buckets, objects, and storage classes in S3
  • Versioning, encryption, and lifecycle policies
  • S3 access control and permissions
  • Hosting static websites with S3

Module 10: Azure Blob Storage

• Objective: Master Azure's Blob Storage service for managing unstructured data.
• Key Concepts:
  • Types of Blobs: Block, Append, and Page Blobs
  • Blob Containers and Storage Account setup
  • Access control using Shared Access Signatures (SAS)
  • Integrating Blob Storage with other Azure services

Module 11: GCP Cloud Storage

• Objective: Understand how Google Cloud's Cloud Storage works for scalable and secure data storage.
• Key Concepts:
  • Buckets, objects, and storage classes
  • IAM roles and access control
  • Managing lifecycle policies, data encryption
  • Data transfer options with Cloud Storage

Module 12: IAM (Identity and Access Management)

• Objective: Understand IAM concepts and how to manage access in cloud environments securely.
• Key Concepts:
  • Users, Groups, Roles, and Policies
  • Multi-Factor Authentication (MFA)
  • Managing permissions and access control across AWS, Azure, and GCP
  • Best practices for IAM security

Module 13: Amazon RDS and DynamoDB

• Objective: Learn about Amazon’s managed database services: RDS and DynamoDB.
• Key Concepts:
  • Amazon RDS for relational databases: Setup, configuration, backups, and monitoring
  • Amazon DynamoDB for NoSQL solutions: Global tables, backup strategies, and scaling
  • Choosing the right database for your application

Module 14: Cloud Security Services

• Objective: Explore cloud-native security services to secure applications and infrastructure.
• Key Concepts:
  • AWS Security Hub, Azure Security Center, and GCP Security Command Center
  • Data encryption at rest and in transit
  • Key Management Services (KMS) and secrets management
  • Cloud firewalls and DDoS protection

Module 15: Serverless Services (AWS Lambda)

• Objective: Dive into serverless computing with AWS Lambda.
• Key Concepts:
  • Lambda function creation and execution
  • Event-driven architecture and triggers
  • Monitoring and debugging Lambda functions
  • Use cases for serverless applications

Module 16: Amazon Route 53

• Objective: Master DNS and domain management with AWS Route 53.
• Key Concepts:
  • Domain registration, DNS records, and routing policies
  • Routing traffic based on health checks and geo-location
  • Integration with CloudFront and S3 for static website hosting

Module 17: Introduction to DevOps

• Objective: Understand the DevOps culture, practices, and tools that enhance collaboration between development and operations teams.
• Key Concepts:
  • DevOps principles: Continuous Integration, Continuous Delivery, and Automation
  • The DevOps lifecycle: Plan, Build, Test, Release, Deploy, Operate, Monitor
  • Benefits of DevOps for modern cloud environments

Module 18: Shell Scripting

• Objective: Learn basic shell scripting to automate tasks on Unix/Linux systems.
• Key Concepts:
  • Introduction to shell scripting: Syntax, variables, loops, and conditionals
  • Writing scripts for system administration tasks
  • Debugging and error handling in shell scripts

Module 19: Web Application Server Configurations

• Objective: Learn how to configure web application servers for hosting applications.
• Key Concepts:
  • Web servers: Apache, Nginx, and Tomcat
  • Configuring server parameters for performance optimization
  • Setting up SSL certificates and reverse proxies

Module 20: Version Control with Git

• Objective: Master Git for version control to manage and collaborate on code.
• Key Concepts:
  • Git workflows: Cloning, branching, committing, and merging
  • Resolving merge conflicts and rebasing
  • Using Git with cloud platforms for version control in CI/CD pipelines

Module 21: Build Tools with Maven

• Objective: Learn how to automate project builds using Maven.
• Key Concepts:
  • Maven project setup: POM files, dependencies, and plugins
  • Automating builds, testing, and deployments
  • Maven integration with CI/CD tools

Module 22: SonarQube Overview

• Objective: Explore SonarQube for static code analysis to ensure code quality.
• Key Concepts:
  • Setting up SonarQube for a project
  • Analyzing code quality with SonarQube
  • Integrating SonarQube with Jenkins for continuous code quality checks

Module 23: Continuous Integration with Jenkins

• Objective: Master Jenkins for automating CI/CD pipelines.
• Key Concepts:
  • Jenkins installation, configuration, and plugins
  • Building automated pipelines for testing, integration, and deployment
  • Integration with Git, Maven, and other DevOps tools

Module 24: Azure CI/CD

• Objective: Implement CI/CD pipelines using Azure DevOps.
• Key Concepts:
  • Setting up pipelines for build, release, and deployment
  • Integration with Azure resources and GitHub
  • Automated testing and monitoring within Azure DevOps

Module 25: GitLab CI/CD

• Objective: Set up and manage CI/CD pipelines using GitLab.
• Key Concepts:
  • GitLab CI/CD pipeline structure
  • Automated testing, building, and deployment with GitLab CI
  • GitLab Runner and integration with cloud platforms

Module 26: Docker

• Objective: Learn how to containerize applications using Docker.
• Key Concepts:
  • Docker basics: Images, containers, and Dockerfiles
  • Managing container lifecycle and orchestration with Docker Compose
  • Docker registry and best practices

Module 27: Docker Swarm

• Objective: Understand Docker Swarm for container orchestration.
• Key Concepts:
  • Setting up a Docker Swarm cluster
  • Managing services and scaling with Swarm
  • High availability, networking, and security in Docker Swarm

Module 28: Kubernetes

• Objective: Learn Kubernetes for advanced container orchestration.
• Key Concepts:
  • Kubernetes architecture: Pods, nodes, clusters
  • Deploying applications using Kubernetes
  • Scaling, auto-scaling, and managing stateful applications in Kubernetes

Module 29: Azure Kubernetes Service (AKS)

• Objective: Work with AKS to deploy and manage Kubernetes clusters on Azure.
• Key Concepts:
  • Setting up AKS clusters on Azure
  • Integrating AKS with Azure Monitor and Azure DevOps
  • Managing Kubernetes applications on AKS

Module 30: Amazon EKS (Elastic Kubernetes Service)

• Objective: Use Amazon EKS for deploying and managing Kubernetes clusters on AWS.
• Key Concepts:
  • EKS setup and cluster management
  • Integrating EKS with AWS services and IAM
  • Monitoring and scaling applications on EKS

Module 31: ArgoCD

• Objective: Master ArgoCD for continuous deployment in Kubernetes environments.
• Key Concepts:
  • GitOps methodology and ArgoCD setup
  • Deploying Kubernetes applications with ArgoCD
  • Managing app updates and rollbacks using ArgoCD

Module 32: Prometheus and Grafana

• Objective: Set up Prometheus and Grafana for monitoring and visualization of applications.
• Key Concepts:
  • Prometheus monitoring: Metrics collection and alerting
  • Visualizing metrics with Grafana dashboards
  • Integrating Prometheus with Kubernetes and Docker

Module 33: Ansible

• Objective: Automate configuration management and application deployment using Ansible.
• Key Concepts:
  • Writing Ansible playbooks and roles
  • Managing infrastructure as code with Ansible
  • Ansible Tower for enterprise-level management

Module 34: Terraform

• Objective: Learn Infrastructure as Code (IaC) with Terraform for provisioning cloud resources.
• Key Concepts:
  • Writing Terraform configurations for cloud services
  • Managing infrastructure with Terraform modules
  • State management and Terraform Cloud

Module 35: Python Boto3 for AWS Automation

• Objective: Automate AWS tasks using Python with the Boto3 library.
• Key Concepts: