AWS and DevOps - Lohith Venkatesh
Module 1: DevOps Foundations
DevOps lifecycle
Agile & Scrum basics
Version control & collaboration
Infrastructure as Code overview
SDLC vs DevOps pipeline
📌 Module 2: Linux Essentials for DevOps
Command line basics
File permissions & processes
Package management
Shell scripting fundamentals
📌 Module 3: Git & GitHub / GitHub Actions
Git workflows (branching, merging, tagging)
Repository management
Pull requests & code reviews
GitHub Actions workflows
Automating CI/CD with GitHub Actions
📌 Module 4: Docker & Containerization
Docker architecture
Creating & managing containers
Dockerfiles & custom images
Docker volumes & networks
Docker Compose
Deploying microservices
📌 Module 5: Kubernetes (K8s)
Kubernetes architecture & components
Pods, Deployments & ReplicaSets
Services & Ingress
ConfigMaps & Secrets
StatefulSets
Helm charts
Autoscaling & monitoring
Real-time cluster management project
📌 Module 6: CI/CD Pipelines
CI/CD fundamentals
Jenkins pipelines
GitHub Actions CI/CD
Azure DevOps pipelines
Build & release automation
Integrating Docker + Kubernetes in pipelines
📌 Module 7: AWS DevOps & Cloud Administration
AWS IAM, EC2, VPC architectures
Auto Scaling & Load Balancers
AWS S3, EBS, CloudWatch
AWS DevOps Tools (CodePipeline, CodeBuild, CodeDeploy)
EKS cluster setup & management
📌 Module 8: Azure Cloud Fundamentals
Azure subscriptions & resource groups
Azure VMs, storage, networking
AKS cluster deployment
Azure Monitor & Log Analytics
Azure DevOps pipelines
📌 Module 9: Real-Time IT Job Support
✔ Support on any IT technology, tool or combination
✔ Debugging production issues
✔ Helping with project tasks & deliverables
✔ Guidance for automation, scripts & deployments
✔ On-demand support for DevOps, Cloud, Data, QA, Backend & more
📌 Module 10: Projects & Hands-On Practice
Deploying microservices with Docker + K8s
End-to-end CI/CD pipeline setup
Real-time cloud deployment on AWS & Azure
Monitoring & logging (Prometheus, Grafana, CloudWatch)
GitHub Actions automation project

