Subcribe and Access : 5200+ FREE Videos and 21+ Subjects Like CRT, SoftSkills, JAVA, Hadoop, Microsoft .NET, Testin5g Tools etc..

Batch Date: May 4th @8:00AM

Faculty: Mr. Maha (15+ Yrs of Exp,..)

Duration: 4 Months

Venue :
DURGA SOFTWARE SOLUTIONS,
Flat No : 202, 2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91 - 8885252627, 9246212143, 80 96 96 96 96

Syllabus:

DevOps + AWS + Cloud Native
+ AI TOOLS

Module 1: DevOps Fundamentals & SDLC

DevOps Foundations

• What is DevOps (culture, lifecycle, benefits)
• DevOps vs Traditional IT models
• DevOps lifecycle: Plan → Code → Build → Test → Release → Deploy → Monitor

SDLC & Agile

• Software Development Life Cycle (SDLC)
• Agile methodology & Scrum framework
• Sprint planning, backlog, stand-ups
• Introduction to Jira (issue tracking)

DevOps Practices

• Continuous Integration (CI)
• Continuous Delivery vs Deployment
• Infrastructure as Code (IaC)
• Monitoring & feedback loops

Module 2: Linux & Shell Scripting (CORE SKILL)

Linux Fundamentals

• Linux architecture & file system
• File permissions, users & groups
• Package management (yum, apt)

Advanced Linux

• Process management (top, ps, kill)
• Disk & memory management
• Networking tools (netstat, curl, wget)
• SSH & server access

Shell Scripting (Automation)

• Variables, loops, conditions
• Functions & arguments
• File handling & logging

Module 3:  Networking Fundamentals

• OSI & TCP/IP model
• IP addressing & CIDR
• Subnetting (important for AWS VPC)
• DNS working
• HTTP vs HTTPS
• SSL/TLS basics
• Load balancing concepts
• Reverse proxy (Nginx)

Module 4: Cloud Computing & AWS (CORE MODULE)

Cloud Basics

• IaaS, PaaS, SaaS
• Public vs Private cloud
• AWS global infrastructure

AWS Core Services

• EC2 (instances, AMI, key pairs)
• S3 (storage & lifecycle)
• IAM (users, roles, policies)
• VPC (subnets, routing, NAT, IGW)
• EBS & EFS

Advanced AWS

• Load Balancers (ALB, NLB)
• Auto Scaling Groups
• Route 53 (DNS)
• Cloud Front (CDN)
• RDS & DynamoDB

DevOps on AWS

• AWS CLI
• Cloud Watch (logs, metrics, alerts)
• AWS Code Pipeline, Code Build, Code Deploy

Server less

• AWS Lambda
• API Gateway

Cost Optimization

• Pricing basics
• Spot vs Reserved instances
• AWS Budgets & billing alerts

Module 5: Version Control (Git + GitHub)

Git Core

• Version control concepts
• Git workflow (clone, commit, push)
• Branching & merging
  

Advanced Git

• GitFlow & trunk-based development
• Rebase vs merge
• Cherry-pick, stash

GitHub

• Pull requests & code reviews
• Repository management
• GitHub Actions (CI/CD)

Module 6 : CI/CD Pipelines

CI/CD Concepts

• Pipeline stages (Build → Test → Deploy)
• Pipeline as Code

Jenkins

• Installation & setup
• Freestyle & pipeline jobs
• Master-agent architecture

Modern CI/CD

• GitHub Actions (important)
• YAML pipelines

Integrations

• Maven (build tool)
• SonarQube (code quality)
• Nexus/JFrog (artifact repository)

Module 7: Infrastructure as Code (IaC)

Terraform

• Providers & resources
• Variables & outputs
• State management
• Remote backend
• Modules (reusability)

AWS CloudFormation

• Templates & stacks

Module 8: Configuration Management

Ansible

• Architecture & setup
• Inventory & playbooks
• Modules, roles, templates

Real Use Cases

• Web server setup
• Application deployment
• Multi-node automation

Module 9: Containerization (Docker)

Docker Basics

• Images & containers
• Dockerfile creation

Advanced Docker

• Multi-stage builds
• Docker Compose
• Volumes & networking
• Docker security best practices

Registry

• Docker Hub
• AWS ECR

Module 10: Kubernetes (PRODUCTION LEVEL)

Core Concepts

• Cluster architecture
• Pods, deployments, services

Advanced

• ConfigMaps & Secrets
• Ingress controller
• Persistent Volumes (PV/PVC)
• RBAC (security)
• Network policies

Production

• Helm charts
• Auto scaling (HPA)
• Rolling updates

AWS Integration

• EKS (Managed Kubernetes)
  

Troubleshooting (CRITICAL)

• Pod failures
• CrashLoopBackOff
• Debugging deployments

Deployment Strategies

• Blue-Green deployment
• Canary deployment
• Rolling updates
• Rollback strategies

Module 11: GitOps

• GitOps principles
• ArgoCD / Flux
• Continuous deployment using Git
• Kubernetes GitOps workflows
  

Module 12: Monitoring & Observability

Metrics

• Prometheus

Visualization

• Grafana dashboards

Logs

• ELK Stack

Tracing

• Distributed tracing (Jaeger basics)
  

AWS Monitoring

• Cloud Watch logs & alerts

Module 13: DevSecOps (SECURITY)

• Secure CI/CD Pipelines
• IAM best practices
• Secrets management

Tools

• Trivy (container scanning)
• Snyk (dependency scanning)

Module 14: AI Tools for DevOps

AI Tools:

• ChatGPT
• GitHub Copilot
• Amazon CodeWhisperer

Topics:

• AI for CI/CD pipelines
• AI-based debugging
• Log analysis using AI

Prompt Engineering:

• Writing effective prompts
• Automating DevOps tasks

Module 15: Real-Time Projects & Interview Preparation

Project 1: AWS Auto Scaling & VPC Architecture

• Implement projects on AWS cloud for auto scaling and VPC network
• Cloud + Networking + High Availability
• VPC, Subnets, ALB,Auto Scaling, CloudWatch

Project 2: AWS Infrastructure as Code using Terraform

• Automation of AWS infrastructure
• Terraform → VPC + EC2 + Load Balancer, Remote backend (S3)

Project 3: CI/CD Pipeline (End-to-End)

• Core DevOps automation
• Maven,SonarQubeDocker build
• Git → Jenkins / GitHub Actions → Build → Test → Deploy

Project 4: Configuration Management using Ansible

• Production deployment automation
• Java + Tomcat deployment, Multi-node setup
• Git → Jenkins/GitHub Actions → Deploy

Project 5: Cloud-Native Deployment (Kubernetes + EKS + GitOps)

• Modern DevOps + Cloud Native
• Kubernetes,Helm,GitOps Auto scaling
• GitHub Actions → Docker → Helm → ArgoCD → EKS

Project 6: Monitoring & Observability System

• Production monitoring + troubleshooting
• Prometheus+Grafana+ELK

Preparation for Interviews with Resume and Optimization Tips.