DevOps & DevSecOps Course In Telugu

DevOps & DevSecOps
with AWS & AI

Learn DevOps from basic to advanced level. This master-level course is for you if you are looking to learn DevOps in Telugu within a short time!

Limited Seats Only
Course Details
Life Time
Recording Content Access
Telugu
Teaching Language
Online
Mode Of Teaching
2 Months
Live Classes
June 25th, 2026
Start Date
Fee Stucture
₹5,999
Batch Timings
Monday to Saturday
07:00 AM – 09:00 AM
Course Syllabus

  • What is Cloud computing?
  • Characteristics of Cloud Computing
  • Cloud Implementation Models
  • Advantages of cloud computing
  • Cloud Service models

  • Why DevOPS ?
  • DevOPS Introduction
  • Software Development Life Cycle (SDLC)
  • Agile
  • DevOps Basics

  • Linux Introduction
  • Flavours On Linux
  • Linux History
  • Linux Advantages
  • System Information
  • Hardware Information
  • File Commands
  • Vim Editor
  • Users
  • Groups
  • File Permissions
  • Networking
  • Compression/archive
  • Disk Usage
  • Package Installation
  • Scripting
  • Fhs/directory System
  • Linux Filters
  • Linux Man Pages
  • Flavor’s of Linux
  • Unix and Linux difference
  • Linux File system structure
  • Basic Linux/Unix commands
  • Changing file permissions and ownership
  • Types of links soft and hard link
  • Filter commands
  • Simple filter and advance filter commands
  • Start and stop services
  • Find and kill the process with id and name
  • Package installation using RPM and YUM
  • Project

  • Vcs History
  • Revision Control System
  • Subversion
  • Git Stages
  • Working Directory
  • Staging Area
  • Repository (Local, Central, Remote)
  • Git Installation
  • Git Add
  • Git Commit
  • Git Status
  • Commit A File Using Git
  • Configuration Of User
  • Ignoring Content
  • Git Hub
  • Git Repo’s (Private & Public)
  • Git Push
  • Git Pull
  • Git Cloning
  • Git Branch
  • Git Merge
  • Git Fork
  • Git Stash
  • Git Cherrypick
  • Git Revert
  • Git Merge
  • Github Fileadd
  • Advantages & Disadvantages
  • About Version Control System and Types
  • Difference between CVCS and DVCS
  • GIT life cycle
  • Creating repository
  • GIT basic commands
  • Creating the Branches, switching the branches, merging the branches.

  • Creating GitHub account and repositories
  • Push code from local to remote repos
  • Pull code from remote repo to local repos
  • User collaboration and permissions on
  • GitHub Repo
  • Git-SSH
  • Generate public key and adding to GitHub
  • Check-in the code without credential from local to remote

  • Introduction
  • Java Project Structure
  • Problems Without Maven
  • What Maven Does
  • What Is Build Tool?
  • xml File
  • Requirements For Build
  • Maven Architecture
  • Maven Build Life Cycle
  • Maven Compile
  • Maven Test
  • Maven Package
  • Maven Deploy
  • Maven Clean
  • Maven Directory Structure
  • Generating War File
  • Generating Jar File
  • Maven Vs Ant
  • Interview Questions

  • Introduction
  • Workflow
  • Advantages
  • Jenkins Alternatives
  • Master – Slave Concept
  • Jenkins Setup
  • Java Installation
  • Git Integration
  • Maven Integration
  • Jobs In Jenkins
  • Maven Job, Task
  • Parameter Building
  • Choice Parameter
  • File Parameter
  • Branch Building
  • Schedule Project
  • Linked Projects
  • Jenkinsfile writing
  • Down Stream
  • Pipelines
  • User Management
  • Job as Code examples
  • Interview Question
  • Build Deployments
  • Tomcat installation and configuration

  • Introduction to GitHub Actions
  • Understanding Workflows and Events
  • Creating YAML Workflow Files
  • Jobs, Steps, and Runners
  • GitHub Actions Marketplace
  • Environment Variables and Secrets
  • CI/CD Pipeline with GitHub Actions
  • Deploying Applications using GitHub Actions

  • Introduction
  • Level Virtualization
  • Docker Commands
  • Build Image From Container
  • Docker File
  • Docker File Components
  • Docker File Creation
  • Docker Volumes
  • Uses Of Volumes
  • Creating Volumes
  • Creating Volumes By Using Commands
  • Volumes (Container – Container)
  • Volumes (Host – Container)
  • Creating A Volume From File
  • Docker Port Mapping
  • Difference B/w Exec And Attach
  • Difference B/w Expose And Publish
  • Docker Hub
  • Docker Push
  • Docker Pull
  • Some Advance Commands
  • Dockers vs. Virtualization Architecture
  • Docker Architecture.
  • Understanding the Docker components
  • Installing Docker on Linux.
  • Some Docker commands.
  • Uploading the images in Docker Registry
  • DOCKER VOLUMES
  • Running multiple containers.
  • Custom Images
  • Running a container from the custom image.
  • Publishing the custom image.
  • Interview Questions

  • Dockerfile Keywords
  • Dockerfile example
  • Multi Stage Dockerfile

  • Accessing containers
  • Linking containers
  • Exposing container ports
  • Container Routing

  • Installing The Docker compose
  • Terminology in Docker compose
  • Docker with web application

  • Docker Swarm Project
  • Docker Projecr

  • History
  • Online Platform For K8s
  • Cloud Based K8s
  • Installation Tools
  • Container Scaleup Problems
  • Features
  • Docker Swarm Vs K8s
  • Architecture
  • Master Components
  • Node Components
  • Working With K8s
  • Role Of Master
  • Components Of Control Plane
    • Kube-api Server
    • Etdc
    • Features
    • Kube-scheduler
    • Control Manager
  • Node Components
    • Kubelet
    • Container Engine
    • Kube-proxy
  • Pod
    • Multi Container Pod
    • Limitations
    • Higher Level K8s Objects
    • Important Notations
    • Working
  • Bootstraping The Master Node (In Master)
  • Minkube Installation
  • Kubectl Installation
  • Deploying An App via Jenkins CICD
  • Interview Questions

  • History
  • Advantages & Disadvantages
  • Ansible Workflow
  • Chef Workflow
  • Ansible Inventory Host Pattern
  • Host Patterns
  • Ad-hoc Commands
  • Ansible Modules
  • Playbooks
  • Yaml
  • Variables
  • Handlers
  • Loops
  • Conditions
  • Vault
  • Roles
  • Ansible tags
  • Ansible Galaxy
  • User info
  • Differences B/W Tools
  • Provisioning ec2 instance using Playbook
  • Interview Questions

  • History
  • Why History
  • Features
  • Phases Of Monitoring
  • Prometheus/Observability Architecture
  • How It Works
  • Pre Requisites
  • Dashboard Overview
  • Installation Of Prometheus/Observability
  • Google Cloud Observability
  • Interview Questions

  • Architecture Types
  • Application Layer
  • Presentation Layer
  • Data Layer
  • MicroServices Introduction
  • How to design an Best Architecture for the given use-case and tools

  • Why Cloud ?
  • AWS Account creation
  • Provision the VM’s to do the Labs on daily basis

  • Introduction to EC2 and instance types
  • Launch EC2(Linux and Windows)
  • Generating custom Public Key and Private keys for EC2 instances
  • Security groups
  • Volumes and Snapshots
  • Elastic Load Balancers – ELBs and Health check
  • Creating Billing Alarm and EC2 instance alarms.
  • Elastic Block store – EBS
  • Elastic File System

  • What is the Simple Storage Service (S3)?
  • Bucket policies
  • Access Control Lists(ACLs)
  • Storage classes
  • Versioning
  • Replication
  • Static Webhosting with S3 bucket

  • Default VPC
  • Subnets
  • VPC Components
  • VPC with NAT Gateway
  • VPC PEERING CONNECTION

  • Cloud watch components

  • Lambda Function components

  • What is DNS?
  • Introduction to AWS Route 53
  • Components
  • Integration with S3 Static Load Balancer

  • Security groups
  • Introduction to IAM
  • Users, Groups, Roles and Policies in IAM
  • Hands on - Users, Groups, Roles and Policies in IAM
  • AWS CLI

  • NEXUS introduction
  • NEXUS installation
  • NEXUS Repositories

  • Helm Introduction and installation
  • Helm architecture and components
  • Helm chart preparation
  • Helm chart.yml file and explanation

  • What is Terraform
  • Terraform lifecycle
  • Provision Ec2 instance using Terraform
  • Local variables,Input Variables
  • Route Module,Local module,Remote Module
  • Terraform Using WorkSpace
  • Terraform project with Multi-Tier app
  • Terraformer Basics

  • ArgoCD components
  • ArgoCD INSTALLATION

Code Quality & Version Control

  • SonarQube
    • Introduction to Code Quality & Security Analysis
    • Installing and Configuring SonarQube
    • Understanding Bugs, Vulnerabilities & Code Smells
    • Integrating SonarQube with Jenkins & GitHub Actions
    • Generating Quality Gates and Reports
    • Best Practices for Secure Coding
  • Git & GitHub
    • Version Control Fundamentals
    • Git Installation & Repository Setup
    • Commit, Push, Pull & Clone Operations
    • Branching Strategy & Merge Concepts
    • Pull Requests & Code Review Workflow
    • GitHub Collaboration Best Practices

Dependency & Container Security

  • OWASP Security Basics
    • Introduction to OWASP & Application Security
    • OWASP Top 10 Vulnerabilities
    • Common Web Application Attacks
    • Dependency Vulnerability Scanning
    • Using OWASP Dependency-Check Tool
  • Trivy
    • Introduction to Container Security
    • Installing and Configuring Trivy
    • Scanning Docker Images for Vulnerabilities
    • Filesystem & Dependency Scanning
    • Generating Security Reports
    • Integrating Trivy with CI/CD Pipelines

Infrastructure as Code (IaC) Security

  • Checkov
    • Introduction to Infrastructure as Code (IaC)
    • Terraform & Kubernetes Security Basics
    • Installing and Running Checkov
    • Scanning Terraform, YAML & Kubernetes Files
    • Understanding Security Misconfigurations
    • Automating IaC Security in CI/CD

Monitoring & Logging

  • ELK Stack
    • Introduction to Centralized Logging
    • Understanding Elasticsearch, Logstash & Kibana
    • Installing ELK Stack Components
    • Collecting and Parsing Application Logs
    • Creating Dashboards & Visualizations in Kibana
    • Monitoring DevOps Infrastructure Logs

1. What is Artificial Intelligence

  • Definition of Artificial Intelligence
  • Understanding AI Concepts
  • How AI Works
  • Importance of AI

2. Introduction to Generative AI

  • What is Generative AI
  • How Generative AI Works
  • Uses of Generative AI
  • Examples of Generative AI Tools

3. What is Claude AI

  • Introduction to Claude AI
  • Overview of Claude AI
  • Purpose of Claude AI
  • Working of Claude AI

4. Accessing Claude AI

  • Accessing Claude AI Platform
  • System Requirements
  • Claude AI Availability
  • Using Claude on Web and Mobile

5. Creating an Account in Claude AI

  • Sign Up Process
  • Email Verification
  • Login and Security
  • Account Setup

6. Claude AI Interface Overview

  • Dashboard Overview
  • Navigation Menu
  • Chat Interface
  • Settings and Preferences

7. Understanding Chats and Projects

  • Creating New Chats
  • Managing Conversations
  • Understanding Projects
  • Organizing Workspaces

8. File Upload and Document Analysis

  • Uploading Files in Claude AI
  • Supported File Formats
  • Document Summarization
  • Analyzing PDF and Text Files

9. Features of Claude AI

  • Natural Language Understanding
  • Content Generation
  • Code Assistance
  • Document Analysis
  • Long Context Support

10. Difference Between Claude AI and ChatGPT

  • Claude AI vs ChatGPT Overview
  • Feature Comparison
  • Performance Comparison
  • Use Case Comparison

11. Real-Time Applications of Claude AI

  • Business Applications
  • Educational Applications
  • Developer Applications
  • Content Creation Applications
Real-time Projects

Designed and implemented a complete end-to-end DevOps pipeline to deploy a scalable 3-tier e-commerce application on AWS EKS. Containerized applications using Docker and provisioned infrastructure with Terraform (IaC). Managed Kubernetes deployments using Helm charts and automated CI/CD workflows for reliable releases. Configured load balancing, auto-scaling, and monitoring to ensure high availability and scalability.

Built a complete CI/CD pipeline using Jenkins integrated with Git, GitHub, SonarQube, Nexus, Maven, Trivy, and Apache Tomcat for automated build, testing, security scanning, and deployment of a Hotstar application. Improved software delivery speed, security, and deployment reliability using DevSecOps practices.

Designed and implemented an automated deployment pipeline using Jenkins for CI/CD, Apache Tomcat as the application server, and Ansible for provisioning and configuration management. Automated build, deployment, and environment setup processes for faster and consistent application delivery.

Developed and deployed a Hotstar application using Maven for build management, Docker for containerization, Jenkins for CI/CD automation, and Apache Tomcat as the deployment server. Streamlined build, packaging, and deployment workflows to improve scalability and release efficiency.

Automated application deployment using Ansible and integrated AWS CloudWatch for centralized log monitoring and analysis. Improved observability, troubleshooting, and system performance monitoring with real-time logging and alerting capabilities.

Built a complete DevOps CI/CD pipeline using GitHub Actions with self-hosted runners for deploying Amazon web applications. Automated build, testing, and deployment workflows while improving scalability, flexibility, and deployment reliability.

Built a scalable production-ready e-commerce platform on AWS using Flask, Auto Scaling, Load Balancer, and MySQL RDS. Designed the architecture to ensure high availability, fault tolerance, and efficient database management under varying traffic loads.

Built a real-time serverless automation solution using AWS Lambda and Amazon SNS to detect unused or unattached EBS volumes. Automated notifications for stale resources to reduce unnecessary cloud costs and improve cloud governance. The solution was scalable, cost-efficient, and eliminated the need for manual monitoring.

Built an actionable AI agent by integrating Claude with MCP Server and AWS services to automate real-time tasks, API interactions, and cloud operations. Enabled intelligent automation workflows and enhanced operational efficiency using AI-driven cloud integrations.
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Frequently Asked Questions

The education offered by Python Life is industrial education. We are known for our course programs. And whatever we teach, it starts from scratch to advanced level. An experienced instructor is available to him 24/7 to clear any doubts.

Yes, all concepts are taught from basic to advanced level and the instructor will check if students understand before moving on to more subjects.

Of course, Python Life trains students according to industry requirements and specifications. We also conduct in-house planning and mock interviews.

There are no eligibility criteria for this course, which is taught from start to finish, so anyone interested in the course can participate.

Yes, you will receive a course completion certificate from Python Life when you submit your project at the end of the course.

Sorry, No refunds.

You can join by paying from our site. Immediately after payment, you will receive a confirmation from us to guide you through the further process.

Yes, all sessions will be recorded and will be provided for the students.