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Dur: 3 months
Course fee : 16000 /-

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DevOps with AWS

Course Overview

This course provides comprehensive training in DevOps practices and tools within the AWS (Amazon Web Services) ecosystem. Participants will learn how to leverage AWS services to implement continuous integration, continuous deployment, infrastructure as code, monitoring, and more, all while adhering to DevOps principles. The course covers a range of topics essential for modern software development and deployment pipelines, empowering participants to streamline processes, increase efficiency, and improve collaboration between development and operations teams.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

 

Description

The DevOps with AWS course is designed to equip participants with the knowledge and skills needed to effectively implement DevOps practices using AWS services. Through a combination of lectures, hands-on exercises, and real-world examples, participants will gain a deep understanding of DevOps principles and how they can be applied within an AWS environment. Topics covered include:

  • Introduction to DevOps and its principles
  • Overview of AWS services relevant to DevOps
  • Continuous Integration and Continuous Deployment (CI/CD) pipelines with AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy
  • Infrastructure as Code (IaC) using AWS CloudFormation and AWS CDK (Cloud Development Kit)
  • Configuration Management with AWS OpsWorks and AWS Systems Manager
  • Monitoring and Logging with AWS CloudWatch and AWS X-Ray
  • Security best practices for DevOps in AWS

Course Objectives

By the end of this course, participants will be able to:

  • Understand the core principles of DevOps and its benefits
  • Utilize key AWS services to implement CI/CD pipelines
  • Implement Infrastructure as Code to manage AWS resources efficiently
  • Manage configuration and automate tasks using AWS OpsWorks and Systems Manager
  • Monitor and troubleshoot applications using AWS CloudWatch and X-Ray
  • Apply security best practices for DevOps in AWS environments

Prerequisites

  • To fully benefit from this course, participants should have:

    • Basic understanding of software development and deployment processes
    • Familiarity with AWS services (recommended but not mandatory)
    • Knowledge of at least one programming language (e.g., Python, Java, JavaScript)
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Course Curriculum

  • What is DevOps?
  • DevOps Market Trends DevOps Engineer Skills
  • DevOps Delivery Pipeline
  • DevOps Ecosystem

  • Introduction
  • What is Virtualization
  • Server Virtualization
  • Desktop Virtualization
  • Application Virtualization

  • All-important Linux commands.
  • The Linux filesystem.
  • File permissions.
  • Process management.
  • User account management.
  • Software management.
  • Networking in Linux.

  • Cloud Computing
  • What is virtualization?
  • AWS Platform
  • EC2 Instance
  • Load Balancing
  • EBS (Elastic Block Storage)
  • S3(Simple Storage Service) Storage in Cloud
  • IAM:(Identity Access Management)
  • Amazon Virtual Private Cloud (VPC)
  • Dynamo DB
  • AWS Lambda
  • ROUTE 53

  • Introduction
  • Type of shells
  • Variables
  • Types of variables
  • Operators
  • Input arguments
  • String comparison
  • Athematic comparison
  • File conditions
  • If, loops, case, functions
  • Examples

  • Apache webserver
  • Tomcat application server

  • Git Introductions
  • Git Workflow
  • How to setup GIT
  • Working with various commands in GIT
  • Recording Changes to the Repository
  • Viewing the Commit History
  • Undoing Things
  • Git Forking
  • Working with Remotes
  • Branching and Merging in Git

  • Maven Installation
  • Maven Build requirements
  • Maven POM Builds (pom.xml)
  • Maven Build Life Cycle
  • Maven Local Repository (.m2)
  • Maven Global Repository
  • Group ID, Artifact ID, Snapshot
  • Maven Dependencies
  • Maven Plugin

  • Installation & Configuration of SonarQube
  • Initiate code-scan with SonarQube server
  • SonarQube dashboard
  • Sample project to check code scan
  • Maven integration with SonarQube
  • Real-time use cases on SonarQube

  • Introduction to Jenkins
  • Continuous Integration with Jenkins
  • Configure Jenkins
  • Jenkins Management
  • Scheduling build Jobs
  • Jenkins Master & Slave Node Configuration
  • Jenkins Workspace Management
  • Securing Jenkins
  • Jenkins Plugins
  • Jenkins configure with below services tools

  • Docker Introduction
  • What is Docker Image
  • How to get Docker Image
  • Docker Installation
  • Working with Docker Containers
  • Docker Command Line Interphase
  • Docker Compose
  • Docker Hub
  • Docker Trusted Registry
  • Docker swarm
  • Docker attaches
  • Docker File & Command

  • Revisiting Kubernetes
  • Cluster Architecture
  • Spinning up a Kubernetes Cluster on Ec2 VMs
  • Exploring your Cluster
  • Understanding YAML
  • Creating a Deployment in Kubernetes using YAML
  • Creating a Service in Kubernetes
  • Installing Kubernetes Dashboard
  • Deploying an App using Dashboard
  • Using Rolling Updates in Kubernetes
  • Containers and Container Orchestration
  • Helm Charts
  • Schedulers
  • Metric Server deployment
  • Kubernetes volume
  • RBAC process
  • Installation, Configuration and Deployment of HELM
  • EFK STACK Configuration

  • Installation
  • Configurations

  • Introduction to Continuous Monitoring
  • Introduction to Grafana
  • Installing Grafana
  • Grafana Prometheus and Objects
  • Grafana Prometheus configure to Kubernetes

  • Introduction to Ansible
  • Ansible Server Configuration
  • Infrastructure Management
  • SSH Connection in Ansible Master
  • YAML Scripts
  • Host Inventory
  • Ad-hoc Commands
  • Playbooks
  • Core & Extra Modules
  • Ansible Role

  • Introduction to terraform
  • Getting started with Terraform
  • Terraform Modules
  • Terraform: Writing in a more organized way
  • Terraform with AWS: lab
  • Terraform state
  • Terraform with AWS: Lab Part
  • Terraform Troubleshooting and Testing
  • Terraform Best Practices

  • Introduction to Python
  • List, Ranges & Tuples in Python
  • Input and Output in Python
  • Python Object Oriented
  • Python Regular Expressions
  • Python Necessity DevOps
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Who can learn this course

This course is suitable for:

  • Software developers interested in streamlining their development and deployment processes
  • System administrators and operations engineers looking to automate tasks and manage infrastructure more effectively
  • DevOps engineers seeking to enhance their skills and knowledge within an AWS environment
  • IT professionals interested in adopting DevOps practices and leveraging AWS services for their organizations' benefit

Average package of course (DevOps with AWS)

100% Avg
salary hike
4.1 - 15L Avg
Package
Upcoming Batches
Live Training Batches Timetable
Course Name Faculty Date Time Mode of Training Batch Type Meeting Link
DevOps with AWS Mr. Riyaz 12 Dec 9:00 AM (IST) online Online Training
DevOps with AWS Mr. Riyaz 12 Dec 9:00 AM (IST) offline Classroom Training
DevOps with AWS Mr. Raham 2 Dec 5:00 PM (IST) online Online Training
DevOps with AWS Mr. Raham 2 Dec 5:00 PM (IST) offline Classroom Training
Training Features
Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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Reviews

Naresh IT provided a great learning experience for Devops with AWS, with excellent teaching by Mr. Raham sir, who made complex concepts easily understandable and practical.

Angie M. Ashish kumãr
course : DevOps with AWS
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