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DevOps with AWS Course

Learn AWS DevOps online course at Learnomate, the leading DevOps training institute in Pune. Our comprehensive training covers CI/CD pipelines, infrastructure automation, Docker, Kubernetes, Jenkins, and AWS cloud services. Gain practical experience with real-time projects and prepare for DevOps engineer AWS certification to build a successful cloud and DevOps career.

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DevOps with AWS Course Overview

Learnomate Technologies offers an industry-oriented AWS DevOps online course designed to help students master cloud deployment, CI/CD automation, and DevOps tools with real-time projects. The training covers Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, and AWS services like EC2, S3, IAM, VPC, and CloudWatch. Our practical training approach helps learners build job-ready skills and prepare for DevOps engineer AWS certification opportunities in top IT companies.

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aws devops online course

Why Learn DevOps in 2026?

DevOps is one of the most in-demand IT skills in 2026 as companies rapidly adopt cloud computing, automation, and CI CD practices. Learning DevOps helps professionals build expertise in Docker, Kubernetes, Jenkins, Terraform, and AWS cloud services. An AWS DevOps online course can open opportunities in high-paying cloud and automation roles. With growing demand for automation engineers, professionals with DevOps engineer AWS certification skills are highly valued across industries.

What Makes This Course Different?

This course is designed with a practical, industry-focused approach to help students gain real-time DevOps and AWS experience. Unlike traditional training programs, our AWS DevOps online course includes live projects, hands-on labs, interview preparation, and expert mentorship. Students learn the latest DevOps tools and cloud technologies used in top IT companies. The training also helps learners prepare for DevOps engineer AWS certification opportunities with real-world implementation skills.

Who Should Enroll?

  • Students and freshers who want to start a career in DevOps and cloud computing.
  • IT professionals looking to upgrade their skills with an AWS DevOps online course.
  • Developers interested in CI CD pipelines, Docker, Kubernetes, and AWS automation.
  • System administrators preparing for DevOps engineer AWS certification roles.
  • Working professionals seeking practical AWS DevOps certification training with real-time projects.

Syllabus

SDLC (Software Development Life Cycle)

  1. What is Software Application Development?
  2. What is DevOps?
  3.  Who can learn DevOps?
  4. What are the prerequisites to learn DevOps?
  5. DevOps Market Trends
  6.  Why are DevOps skills in high demand across industries?
  7. History and Evolution of DevOps
  8. Traditional IT vs Agile vs DevOps
  9. DevOps Core Principles: CALMS (Culture, Automation, Lean, Measurement, Sharing)
  10. DevOps Lifecycle Overview
    (Plan Develop Build Test Release Deploy Operate Monitor)

Benefits and Business Value of DevOps

  1. Why DevOps? (Faster Delivery, Reduced Failures)
  2. DevOps Impact on Software Delivery

Linux Basics:

  1. What is an operating System? What is the difference between Windows and Linux?
  2. Introduction to Linux and Its Distributions (Ubuntu, CentOS, RHEL)
  3. Basic Linux Commands (ls, cd, pwd, mkdir, rm, etc.)
  4. File Permissions, Ownership, and chmod, chown, umask
  5. User and Group Management (useradd, groupadd, passwd)
  6. File and Directory Management (cp, mv, find, locate, du, df)
  7. Process Management (ps, top, kill, nice, jobs, bg, fg)
  8. Package Management (APT/YUM/DNF – install, remove, update packages)
  9. Networking Commands (ip, ping, netstat, ss, curl, wget)
  10. Shell Scripting Basics (variables, conditions, loops, functions)
  11. System Services and Logs (systemctl, journalctl, log files in /var/log)

Introduction to Git

  1.  What is Version Control?
  2.  Centralized vs. Distributed Version Control
  3. What is Git? Why use Git?
  4. Installing Git (Windows, macOS, Linux)
  5. Git vs GitHub vs GitLab vs Bitbucket
  6. Initializing a Git Repository
  7. Checking the Status
  8. Git Add, Commit, and Log
  9. Understanding the Working Directory, Staging Area, and Repository
  10. Viewing History with git log

Branching and Merging

  1. What is a Branch?
  2. Creating, Switching, and Deleting Branches
  3. Merging Branches
  4. Fast-forward vs Three-way Merge
  5. Merge Conflicts: How to resolve them
  6. Visualizing Branches with git log –graph

Remote Repositories

  1. Setting up GitHub or GitLab
  2. Cloning Repositories
  3. Adding Remote Repositories
  4. Pushing and Pulling Changes
  5. Fetch vs Pull
  6. Tracking and Untracking Files

Collaboration Workflow

  1. Forking and Pull Requests
  2. Git Workflow Models (Feature Branch, GitFlow, Trunk-Based)
  3. Code Review with Pull Requests
  4. Best Practices for Team Collaboration

Undoing Changes

  1. git checkout vs git restore
  2. git reset (soft, mixed, hard)
  3. git revert
  4. Recovering Lost Commits
  5. Stash: Saving Temporary Changes

Maven: Build Tool

  1. What is the Build Process?
  2. Introduction to Maven
  3. What is Apache Maven?
  4. History & Evolution of Build Tools
  5. Maven vs Ant vs Gradle
  6. Installing Maven (Windows, macOS, Linux)
  7. Verifying Maven Installation

Maven Project Structure

  1. Understanding the Maven Standard Directory Layout
  2. What is pom.xml?
  3. Basic Elements of a POM (Project Object Model)
  4. GroupId, ArtifactId, Version (GAV)
  5. Project Lifecycle Overview

Maven Build Lifecycle & Phases

  1. Build Lifecycles: Default, Clean, Site
  2. Core Phases: validate, compile, test, package, install, deploy
  3. Maven Goals vs Phases
  4. Running Maven Goals from CLI

Maven Dependencies

  1. What is a Dependency?
  2. Adding Dependencies to pom.xml
  3. Transitive Dependencies
  4. Managing Con icts (Dependency Mediation)
  5. Dependency Scopes (compile, test, provided, runtime, system)

Plugins and Goals

  1. What are Maven Plugins?
  2. Build Plugins vs Reporting Plugins
  3. Commonly Used Plugins: o maven-compiler-plugin o maven-sure re-plugin o maven-jar-plugin o maven-clean-plugin
  4. Executing Plugin Goals

Introduction to Jenkins

  1. What is CICD (Continuous Integration and Continuous Delivery/ Deployment)?
  2. What is the Need for Jenkins?
  3. What is Jenkins?
  4. Jenkins History and Evolution
  5. Features of Jenkins
  6. Jenkins vs Other CI/CD Tools (GitLab CI, GitHub Actions, CircleCI)
  7. Jenkins Use Cases in DevOps

Installing Jenkins

  1. System Requirements
  2. Installing Jenkins on: Linux (Ubuntu/CentOS), Windows, Docker
  3. Running Jenkins as a Service
  4. Initial Setup and Admin Conguration
  5. Installing Plugins During Setup

Getting Started with Jenkins UI

  1. Exploring the Jenkins Dashboard
  2. Creating Your First Job (Freestyle Project)
  3. Understanding Build Triggers
  4. Build Steps and Post-build Actions
  5. Build History and Console Output

Jenkins Plugins

  1. What are Plugins?
  2. Must-Have Plugins for DevOps
    o Git
    o Maven
    o Pipeline
    o Email Extension
    o Docker
  3. Installing and Managing Plugins
  4. Plugin Compatibility and Updates

Jenkins Pipeline Basics

  1. What is a Jenkins Pipeline?
  2. Declarative vs Scripted Pipelines
  3. Creating a Simple Pipeline (UI and Jenkinsfile)
  4. Pipeline Stages, Steps, and Agents
  5. Running and Debugging Pipelines

Jenkinsfile Deep Dive

  1. Writing Jenkinsfiles from Scratch
  2. Parameters and Environment Variables
  3. Using tools, when, input, and post blocks
  4. Parallel Stages and Matrix Builds
  5. Shared Libraries and Reusability

Jenkins Architecture

  1. Jenkins Master and Agent (Node) Architecture
  2. Distributed Builds
  3. How Jenkins Executes Jobs
  4. Agent Configuration (SSH, JNLP, Docker-based)

Integrating with Git & GitHub

  1. Connecting Jenkins to Git/GitHub/GitLab
  2. Webhooks for Triggering Builds on Push
  3. Building on Pull Request Events
  4. Git Credentials and SSH Key Setup
  5. GitHub Integration Plugin

Jenkins with Build Tools

  1. Jenkins with Maven
  2. Jenkins with Gradle
  3. Using Ant (if needed)
  4. Managing Dependencies and Artifacts

Jenkins with Docker and Containers

  1. Running Jenkins in Docker
  2. Using Docker in Pipelines (Docker Plugin)
  3. Building and Pushing Docker Images with Jenkins
  4. Docker Inside Jenkins vs Jenkins Inside Docker

Jenkins with CI/CD

  1. CI/CD Concepts Refresher
  2. Automating Build-Test-Deploy Pipelines
  3. Rolling Deployments with Jenkins
  4. Deployment to Tomcat, EC2, or Kubernetes
  5. Blue/Green and Canary Deployments (basic intro)

Notifications and Reporting

  1. Email Notifications Setup
  2. Slack/MS Teams Integration
  3. Test Reports with JUnit
  4. Code Coverage Reports
  5. Publishing Artifacts

Security and User Management

  1. Managing Users and Roles
  2. Matrix-Based Authorization
  3. Setting up Credentials Securely
  4. Secrets Management (Vault, Jenkins Credentials Plugin)

Jenkins Backup, Restore & Maintenance

  1. Jenkins Backup Strategy
  2. Restoring Jenkins
  3. Log Rotation and Cleanup
  4. Upgrading Jenkins and Plugins

Jenkins in the Cloud

  1. Jenkins on AWS EC2
  2. Jenkins with EFS/S3 for storage
  3. Jenkins on Kubernetes (Jenkins X, Helm)
  4. Jenkins with Terraform or Ansible Integration

Introduction to Docker

  1. What is a Virtual server?
  2. What is the difference between a physical server and a virtual server?
  3. What is the difference between a virtual server and a container?
  4. What is Docker?
  5. Why Docker? Benefits Over VMs
  6. Docker Architecture (Client, Daemon, Images, Containers)
  7. Understanding Containers vs Images
  8. Installing Docker (Linux, macOS, Windows)

Getting Started with Docker

  1. Running Your First Container
  2. docker run Command Breakdown
  3. Listing and Stopping Containers
  4. Docker Help & Command Line Basics
  5. Removing Containers and Images

Working with Docker Images

  1. What is a Docker Image?
  2. Pulling Images from Docker Hub
  3. Inspecting and Tagging Images
  4. Removing, Saving, and Loading Images
  5. Difference Between Official and Custom Images

Building Custom Images with Dockerfile

  1. What is a Dockerfile?
  2. Dockerfile Instructions: FROM, RUN, COPY, CMD, ENTRYPOINT, etc.
  3. Building a Custom Image (docker build)
  4. Best Practices for Writing Dockerfiles
  5. Multi-Stage Builds

Managing Containers

  1. Container Lifecycle
  2. Detached Mode vs Interactive Mode
  3. Accessing Containers (docker exec, docker attach)
  4. Environment Variables in Containers
  5. Volumes and Persistent Storage

Docker Networking

  1. Docker Default Networks (bridge, host, none)
  2. Creating Custom Networks
  3. Linking Containers
  4. Network Inspection and Troubleshooting
  5. Exposing and Publishing Ports

Docker Volumes and Storage

  1. Volumes vs Bind Mounts
  2. Creating and Using Docker Volumes
  3. Sharing Data Between Containers
  4. Backing Up and Restoring Volumes
  5. Managing Volume Lifecycle

Docker Compose

  1. What is Docker Compose?
  2. docker-compose.yml File Structure
  3. Defining Multi-Container Apps
  4. Networking in Compose
  5. Running, Scaling, and Tearing Down Compose Projects

Docker Registry & Image Management

  1. Docker Hub and Docker Registry
  2. Pushing and Pulling from Docker Hub
  3. Setting Up a Private Docker Registry
  4. Image Tagging Strategies (latest, semantic versioning)
  5. Automating Builds with Webhooks

Docker in CI/CD

  1. Docker with Jenkins/GitHub Actions/GitLab CI
  2. Building Images in CI Pipelines
  3. Scanning Images for Vulnerabilities (Trivy, Snyk)
  4. Caching and Optimizing Build Times
  5. Deploying Containers in CI/CD Pipelines

Docker and Kubernetes (Intro)

  1. Why Orchestrate Containers?
  2. Docker vs Kubernetes
  3. Docker Swarm Overview (optional)
  4. Docker in Kubernetes Clusters
  5. Creating Pods with Docker Images

Introduction to Kubernetes

  1. What is Kubernetes?
  2. Why Kubernetes? Evolution from VMs to Containers to K8s
  3. Key Features and Use Cases
  4. Kubernetes vs Docker Swarm vs ECS vs Nomad
  5. CNCF and the Cloud-Native Ecosystem

Kubernetes Architecture

  1. Kubernetes Cluster Components
    o Control Plane: API Server, Scheduler, Controller Manager, etcd
    o Worker Nodes: Kubelet, Kube-proxy, Container Runtime
  2. Pods, Nodes, and Containers
  3. Communication Between Components
  4. High Availability Architecture

Setting Up Kubernetes (On-premises K8S, GKE, EKS)

  1. Kubernetes Setup Options:
    o Minikube (local)
    o kubeadm (manual cluster)
    o Managed (EKS, GKE, AKS)
  2. Installing kubectl and CLI Tools
  3. Connecting to a Cluster
  4. Exploring the Kubernetes Dashboard

Working with Pods

  1. What is a Pod?
    Creating Pods with YAML
  2. Pod Lifecycle & Status
  3. Viewing Logs and Exec into
  4. Containers
    Init Containers and Multi-Container Pods

ReplicaSets and Deployments

  1. ReplicaSet Basics
  2. Deployments and Rolling Updates
  3. Rollbacks and Revisions
  4. Scaling Deployments Manually and Automatically
  5. Self-healing and High Availability

Services and Networking

  1. Cluster Networking Overview
  2. Service Types:
    o ClusterIP
    o NodePort
    o LoadBalancer
    o ExternalName
  3. DNS in Kubernetes
  4. Headless Services and Stateful Networking
  5. Ingress and Ingress Controllers

Volumes and Persistent Storage

  1. Kubernetes Volume Types (emptyDir, hostPath, NFS, etc.)
  2. Persistent Volumes (PV) and Claims (PVC)
  3. Storage Classes and Dynamic Provisioning
  4. Volume Mounts and Access Modes
  5. StatefulSets and Persistent Storage

Helm – Kubernetes Package Manager

  1. What is Helm?
  2. Installing Helm
  3. Charts and Chart Repositories
  4. Deploying Applications using Helm Charts
  5. Creating and Managing Custom Charts

Autoscaling and Resource Management

  1. Resource Requests and Limits
  2. Horizontal Pod Autoscaler (HPA)
  3. Vertical Pod Autoscaler (VPA)
  4. Cluster Autoscaler
  5. Best Practices for Efficient Resource Use

Monitoring and Logging

  1. Metrics Server and Resource Metrics
  2. Prometheus + Grafana Setup for Monitoring
  3. Logging with EFK Stack (Elasticsearch, Fluentd, Kibana)
  4. Using kubectl top and Logs
  5. Alerting Basics with Prometheus

CI/CD Integration

  1. CI/CD Concepts Recap
  2. Jenkins with Kubernetes (Jenkins-X or Kubernetes Plugin)
  3. GitOps with ArgoCD or Flux
  4. Building and Deploying Containers Automatically
  5. Canary Deployments and Blue-Green Deployments

Security in Kubernetes

  1. Role-Based Access Control (RBAC)
  2. Service Accounts and Tokens
  3. PodSecurityPolicies (Deprecated), Pod Security Standards
  4. Network Policies
  5. Securing Secrets and API Access

Introduction to Infrastructure as Code (IaC) and Terraform

  1. What is IT infrastructure?
  2. What is Infrastructure as Code?
  3. Why Terraform? Features and Use Cases
  4. Terraform vs Other IaC Tools (CloudFormation, Pulumi, Ansible)
  5. Terraform Architecture and Workflow
  6. Supported Providers Overview (AWS, Azure, GCP, Kubernetes)

Getting Started with Terraform

  1. nstalling Terraform (Windows/Linux/macOS)
  2. Terraform CLI Basics
  3. First Terraform Configuration – Provisioning EC2 on AWS
  4. Terraform Workflow: Init Plan Apply Destroy
  5. Hands-on: Your First Terraform Project

Terraform Configuration Language (HCL)

  1. Overview of HCL Syntax
  2. Resources, Providers, and Variables
  3. Data Sources and Outputs
  4. Local Values and Expressions
  5. Input Validation and Descriptions

Variables and Outputs

  1. Defining Input Variables
  2. Variable Types and Validation Rules
  3. Using Environment Variables and terraform.tfvars
  4. Output Values and Dependencies
  5. Sensitive Data Handling

Terraform State Management

  1. What is Terraform State?
  2. Local vs Remote State Files
  3. State Locking and State File Structure
  4. Terraform Workspaces (Managing Environments)

Providers and Resources

  1. What is a Provider?
  2. Provider Block Configuration
  3. Using Multiple Providers (e.g., AWS + Kubernetes)
  4. Resources – Basics and Arguments
  5. Data Sources – Referencing Existing Infrastructure

Modules in Terraform

  1. What are Modules?
  2. Creating and Reusing Modules
  3. Organizing Code with Root and Child Modules
  4. Calling Modules with Parameters
  5. Using Public Modules from the Terraform Registry

Terraform with AWS (or Azure/GCP)

  1. Setting up Terraform with AWS Credentials
  2. Creating VPC, Subnets, Security Groups, and EC2 Instances
  3. Using IAM Roles and Policies
  4. Deploying S3 Buckets, RDS, and Load Balancers
  5. Hands-on: Full Infrastructure Deployment on AWS

Remote State and Backend Configuration

  1. What is a Backend?
  2. Configuring Remote Backends (S3)
  3. State Locking with DynamoDB (AWS)
  4. Secure State Storage Best Practices
  5. Hands-on: Set up S3 Backend with Locking

Provisioners and Templating

  1. Using local-exec and remote-exec Provisioners
  2. Connection Block for Remote Execution
  3. File Provisioner to Upload Files
  4. Template Files and Interpolation
  5. When (and When NOT) to Use Provisioners

Terraform Functions and Expressions

  1. Built-in Functions (lookup, join, length, etc.)
  2. Conditional Expressions and Loops (for, count, for_each)
  3. Dynamic Blocks and Complex Structures
  4. Hands-on: Create a Scalable, Parameterized Deployment

Terraform Cloud and Enterprise

  1. Introduction to Terraform Cloud
  2. Remote Execution and Workspaces in Terraform Cloud
  3. Variable and Secret Management
  4. Terraform Enterprise Features (RBAC, Policy as Code)
  5. Hands-on: Deploy via Terraform Cloud

Ansible:

  1. Introduction to Configuration Management
  2. What is Configuration Management?
  3. Introduction to Ansible
  4. Ansible vs Other Tools (Puppet, Chef, Salt)
  5. Use Cases and Benefits of Ansible
  6. Architecture Overview – Control Node and Managed Nodes

Setting Up Ansible

  1. Installing Ansible (Linux, Mac, Windows via WSL)
  2. Understanding Ansible Inventory (Static and Dynamic)
  3. Setting up SSH Key Authentication
  4. Running Your First Ad-Hoc Command
  5. Basic Troubleshooting and Common Errors

Ansible Core Concepts

  1. Modules and Ad-Hoc Commands
  2. Playbooks – Structure and YAML Syntax
  3. Tasks, Handlers, and Tags
  4. Variables – Types and Precedence
  5. Facts and setup Module

Writing and Running Playbooks

  1. Anatomy of a Playbook
  2. Executing Playbooks with ansible-playbook
  3. Conditional Execution (when)
  4. Looping in Playbooks (with_items, loop)
  5. Using Tags for Task Selection

Variables and Templates

  1. Defining Variables (Inventory, Playbook, Host Vars, Group Vars)
  2. Registering Variables from Commands
  3. Using Jinja2 Templating
  4. Template Module and .j2 Files
  5. Variable Precedence and Best Practices

Roles and Reusability

  1. Introduction to Roles in Ansible
  2. Creating and Using Roles
  3. Role Directory Structure
  4. Importing Roles from Ansible Galaxy
  5. Best Practices for Role-Based Projects

Ansible Inventory Management

  1. Static Inventory – INI and YAML
  2. Dynamic Inventory (AWS, Azure, GCP, etc.)
  3. Inventory Grouping and Variables
  4. Host and Group Variable Files
  5. Inventory Plugins and Scripts

Error Handling and Debugging

  1. Using ignore_errors, failed_when, and block
  2. Error Messaging with debug and msg
  3. Rescue Blocks and Error Recovery
  4. Validating Playbooks (ansible-lint, –syntax-check)
  5. Debugging Playbooks and Verbose Modes

Ansible Vault – Managing Secrets

  1. What is Ansible Vault?
  2. Encrypting and Decrypting Files
  3. Using Vault in Playbooks
  4. Editing Encrypted Files Securely
  5. Vault IDs and Best Practices

Advanced Playbook Techniques

  1. Import vs Include
  2. Handlers and Notifications
  3. Delegation and Local Actions
  4. Asynchronous Tasks and Polling
  5. Working with Collections

Ansible Tower (AWX)

  1. What is Ansible Tower/AWX?
  2. Installing and Setting Up AWX
  3. Managing Projects, Inventories, and Job Templates
  4. Role-Based Access Control (RBAC)
  5. Workflow Automation and Notifications
    o App deployment from Git
    o Secure access with Vault and RBAC
    o CI/CD pipeline integration

Grafana + Prometheus

  1. Introduction to Observability
  2. What is Observability? (Metrics, Logs, Traces)
  3. Monitoring vs Observability
  4. Why Grafana and Prometheus?
  5. Overview of the Prometheus + Grafana Ecosystem
  6. Where They Fit in the DevOps/Cloud Stack

Getting Started with Prometheus

  1. What is Prometheus?
  2. Prometheus Architecture (TSDB, Exporters, Pull-based model)
  3. Installing Prometheus
  4. Prometheus Configuration File (prometheus.yml)
  5. Running Prometheus and Exploring the UI

Introduction to AWS and Cloud Computing

  1. What is a Data Centre? What is Cloud?
  2. What are cloud providers(AWS, Azure, GCP, Oracle cloud, IBM cloud……etc)
  3. Benefits of cloud?
  4. What is Cloud Computing?
  5. AWS Global Infrastructure (Regions, AZs, Edge Locations)
  6. AWS Free Tier and Account Setup
  7. AWS Management Console and CLI

Core AWS Services – Compute

  1. Amazon EC2 – Instance Types, Launch, and SSH Access
  2. AMI, EBS Volumes, Snapshots
  3. EC2 Pricing Models (On-Demand, Reserved, Spot)
  4. Auto Scaling and Elastic Load Balancing (ELB)

Core AWS Services – Storage

  1. Amazon S3 – Buckets, Objects, Storage Classes.
  2. Lifecycle Policies and Versioning
  3. S3 Permissions and Bucket Policies
  4. Amazon EFS and Amazon FSx
  5. S3 Transfer Acceleration and Static Website Hosting

Core AWS Services – Networking

  1. Amazon VPC – Subnets, Route Tables, NACLs, Security Groups
  2. Internet Gateway, NAT Gateway, VPC Peering
  3. PrivateLink and Transit Gateway
  4. Elastic IPs and DNS with Route 53
  5. VPC Endpoints

AWS IAM–Identity and Access Management

  1. Amazon VPC – Subnets, Route Tables, NACLs, Security Groups
  2. Internet Gateway, NAT Gateway, VPC Peering
  3. PrivateLink and Transit Gateway
  4. Elastic IPs and DNS with Route 53
  5. VPC Endpoints

AWS Managed Services

  1. Amazon RDS (MySQL, PostgreSQL, etc.)
  2. AWS CLI

Monitoring, Logging, Auto-scaling, and Automation

  1. Amazon CloudWatch – Logs, Metrics, Alarms
  2. AWS CloudTrail – Audit and Governance

Serverless

  1. AWS Lambda – Functions and Triggers
  2. API Gateway – REST and HTTP APIs

Project Overview

  1. End-to-End DevOps Pipeline for a Sample Web App (Java, Node.js, Python, etc.)

Version Control

  1. Store Code in GitHub/GitLab
  2. Branching Strategy (main/dev)

Build & Test

  1. Build using Maven/Gradle
  2. Code Quality with SonarQube
  3. Unit Testing

CI/CD Integration

  1. Configure Jenkins
  2. Automated Build and Deployment

Containerization

  1. Create Dockerfile and Build Docker Image
  2. Push Image to Docker Hub

Orchestration & Deployment

  1. Deploy App on Kubernetes Cluster (GKE/EKS/Minikube)

Everything You Need to Get Hired as an

  1. Resume Building
  2. LinkedIn Optimization
  3. GitHub Portfolio Setup
  4. Linux Interview Questions
  5. AWS Interview Questions
  6. Docker Interview Questions
  7. Kubernetes Interview Questions
  8. Jenkins Interview Questions
  9. Terraform Interview Questions
  10. CI/CD Interview Questions
  11. DevOps Scenario-Based
  12. Questions Mock Interviews

Hands-on Experience with Essential AWS Cloud & DevOps Technologies

  • Linux
  • Git & GitHub
  • Shell Scripting
  • AWS
  • Docker
  • Kubernetes
  • Jenkins
  • Terraform
  • Ansible
  • Maven
  • SonarQube
  • Nexus
  • Repository
  • Prometheus
  • Grafana
  • Argo CD
  • ChatGPT
  • Gemini
  • Claude
  • Microsoft Copilot
  • GitHub Copilot

KEY FEATURES

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Ankush Thavali

15+ years of Experience in IT Industry

CEO & Founder of Learnomate Technologies

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Our Placements

We don't give just assurances, we actually placed candidates

Rohan Mehta (Amazon Catalog Specialist, Catalog Specialist) - Learnomate

Rohan Mehta

AWS DevOps Engineer

IBM

Krishna Iyer (Amazon Catalog Specialist, Catalog Specialist) - Learnomate

Krishna Iyer

Cloud Engineer

Flipkart

Aditya Gupta (Analitica Insights Pvt, Ltd Data Analyst intern) - Learnomate

Aditya Gupta

Senior DevOps Engineer

Wipro

Aarohi Sharma (Amazon Catalog Specialist, Catalog Specialist) - Learnomate

Aarohi Sharma

Cloud Engineer

Accenture

Vivaan Verma (Amazon Catalog Specialist, Catalog Specialist) - Learnomate

Vivaan Verma

Cloud Operations Engineer

Capgemini

Pritam Bhoi (Autoverse Data, analyst) - Learnomate

Pritam Bhoi

Senior DevOps Engineer

Capgemini

Shruti Gaikwad (Teamware solutions, (TWSOL) Data analyst) - Learnomate

Shruti Gaikwad

AWS Cloud Engineer

Tech Mahindra

Priyanka Mohanty (Teleflex Data, Analytic Intern) - Learnomate

Priyanka Mohanty

AWS Cloud Engineer

Accenture

Jay Jirage (Autoverse Mobility, DevOps Engineer) - Learnomate

Jay Jirage

AWS DevOps Engineer

Autoverse Mobility

Sakshi Dhone (Vedyon Core Pvt Ltd, Data Analytics Intern) - Learnomate

Sakshi Dhone

DevOps Engineer Trainee

Persistent Systems

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Excellent training has been given by Ankush sir. We learned many things in Learnomate Technologies and very much helpfull to my carrier growth. Thanks a lot.

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1 year student
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The session was really good. Please teach us oracle database installation so that we can practice with you. Also request you to take a live project to understand real life scenarios

Testimonials
Amit Nandi
1 year student
review

Learnomate technology is the best platform to gain and explore knowledge about Oracle DBA. First i saw their video from YouTube and then i enrolled core dba training and after that i also enrolled rac.

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Jogu Darani
1 year student
review

I recently completed course at learnomate tecnologies and I am thrilled with the experience. The institute offers a wide range of courses tailored to current industry demands.

Testimonials
Rahul Kamle
1 year student
review

Learnomate Technology is a best training institute, I recommend those who wants to start their career in IT industry for fresher as well as non technical people. Thank you Ankush sir for your support and guidance.

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Frequently Asked Questions

This entire course content and our trainer helps you to get expertise and clear the certification program easily

FAQ Illustration
  • Team will provide you meeting details as soon as you make the payment
  • Yes, learners work on real-time DevOps projects, CI/CD implementation, Docker containerization, Kubernetes orchestration, and AWS deployment scenarios.
  • Yes. We do provide the step-by-step document which you can follow and if required our technical team will assist you.
  • Yes, the course helps learners gain practical knowledge and hands-on experience required for DevOps engineer AWS certification roles and interviews.
  • Learnomate Technologies offers internship assistance and project-based learning to help students gain practical experience in DevOps and AWS cloud technologies. Internship opportunities may be available based on performance and current program availability. Please contact our training counselors for the latest internship details.
  • Yes, we offer flexible learning options including online and classroom training suitable for students and working professionals.
  • Our AWS DevOps online course focuses on practical learning, live projects, expert mentorship, and industry-oriented training with hands-on cloud implementation.
  • DevOps Engineer ,Cloud Engineer ,Site Reliability Engineer (SRE),AWS Cloud Engineer ,Kubernetes Administrator ,Platform Engineer ,CI/CD Engineer ,Release Engineer ,Infrastructure Automation Engineer ,Cloud DevOps Engineer

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