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