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Full Stack Automation, Data, and DevOps Expert Course Syllabus Powered by CLOUD (AWS/AZURE)

Duration : 15 Days | 90 Hours (6 hours/day)
Category :Devops,Development Operations

This intensive 15-day DevOps with AWS course is designed to provide a strong foundation in modern DevOps practices through a balanced approach of theory and hands-on implementation. With a duration of 90 hours (6 hours per day), the program follows a practical learning model with 40% theory and 60% lab-based training on Amazon Web Services (AWS).

To join this course, learners should have basic knowledge of Linux commands, an AWS Free Tier account, an understanding of networking fundamentals, and basic programming knowledge. These prerequisites help participants understand and implement DevOps tools more effectively in real-world cloud environments.

The main objective of this course is to master essential DevOps tools and practices integrated with AWS cloud services. Students will gain practical experience in CI/CD pipelines, containerization using Docker, orchestration with Kubernetes, infrastructure automation using Terraform and Ansible, and monitoring using CloudWatch, Prometheus, and Grafana, enabling them to build and manage production-ready cloud applications.

    Prerequisites
  • Basic Linux commands
  • AWS Free Tier Account
  • Understanding of networking basics
  • Basic programming knowledge
    Day 1: Introduction to DevOps & AWS
  • DevOps principles and culture
  • AWS overview and account setup
  • AWS IAM, VPC basics
  • AWS CLI and SDK configuration
  • Lab: AWS environment setup, IAM users/roles creation
    Day 2: Git Fundamentals
  • Version control concepts
  • Git installation and configuration
  • Basic Git commands (init, add, commit, branch, merge)
  • Git workflows
  • Lab: Create repository, branching, merging, resolving conflicts
    Day 3: GitHub & AWS CodeCommit
  • GitHub repository management
  • Pull requests and code reviews
  • AWS CodeCommit setup
  • Remote repositories
  • Lab: GitHub workflows, AWS CodeCommit integration
    Day 4: CI/CD with AWS CodePipeline & GitLab
  • CI/CD concepts
  • AWS CodeBuild, CodeDeploy, CodePipeline
  • GitLab CI/CD basics
  • Pipeline stages and jobs
  • Lab: Build CI/CD pipeline with AWS CodePipeline
    Day 5: Advanced CI/CD & AWS Integration
  • Multi-stage pipelines
  • AWS Elastic Beanstalk deployment
  • Blue-green deployments
  • Automated testing
  • Lab: Complete CI/CD pipeline deploying to AWS
    Day 6: Monitoring with AWS CloudWatch & Splunk
  • AWS CloudWatch metrics and logs
  • CloudWatch dashboards and alarms
  • Splunk installation and configuration
  • Log aggregation from AWS
  • Lab: CloudWatch monitoring, Splunk integration with AWS
    Day 7: Prometheus on AWS
  • Prometheus architecture
  • Installing Prometheus on EC2
  • AWS service discovery
  • PromQL queries
  • Exporters configuration
  • Lab: Deploy Prometheus on AWS, monitor EC2 instances
    Day 8: Grafana Dashboards on AWS
  • Grafana installation on EC2
  • AWS CloudWatch data source
  • Prometheus integration
  • Dashboard creation
  • Alert configuration
  • Lab: Build monitoring dashboards for AWS resources
    Day 9: Ansible Fundamentals
  • Configuration management concepts
  • Ansible installation and inventory
  • Ad-hoc commands
  • Playbooks and modules
  • Lab: Automate AWS EC2 configuration with Ansible
    Day 10: Ansible with AWS
  • AWS dynamic inventory
  • Ansible AWS modules
  • Managing EC2, S3, RDS with Ansible
  • Ansible Vault
  • Roles and best practices
  • Lab: Automate AWS infrastructure provisioning
    Day 11: Docker Fundamentals
  • Containerization concepts
  • Docker installation
  • Images and containers
  • Dockerfile creation
  • Lab: Containerize application, deploy to EC2
    Day 12: Docker with AWS ECR & ECS
  • AWS Elastic Container Registry (ECR)
  • Docker Compose
  • AWS Elastic Container Service (ECS)
  • Task definitions
  • Lab: Push images to ECR, deploy containers on ECS
    Day 13: Terraform for AWS Infrastructure
  • Infrastructure as Code (IaC) concepts
  • Terraform installation and configuration
  • AWS provider setup
  • Resources, variables, outputs
  • State management with S3
  • Lab: Provision AWS VPC, EC2, S3, RDS using Terraform
    Day 14: Kubernetes (EKS) Basics
  • Kubernetes architecture
  • AWS EKS overview
  • eksctl and kubectl
  • Pods, Deployments, Services
  • Lab: Deploy EKS cluster, run containerized apps
    Day 15: Advanced Kubernetes & Production Deployment
  • EKS advanced features
  • Ingress controllers (ALB)
  • Persistent storage (EBS, EFS)
  • Auto-scaling (HPA, Cluster Autoscaler)
  • Helm charts
  • Lab: Production-grade deployment on EKS with monitoring

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