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AWS Devops Online Training
  • 30-40 hours
  • 45 Students
    • Ratings :

Aws Devops Online Training

DevOps, which is a mix of "development" and "operations," is a collection of practices for software design. Because it is a simple process, there are several variations to select from. As cloud computing has grown in popularity, consumers now have a choice of over a dozen distinct cloud providers, including Google Cloud, Microsoft Azure, and IBM Cloud Services. AWS stands for Amazon Web Services, Amazon's cloud service. AWS DevOps is Amazon's solution for adopting the DevOps concept through the use of its cloud platform and specific tools and services. AWS DevOps enables application development teams to quickly adopt continuous integration and delivery. This allows them to securely save and version application source code while automatically developing, testing, and deploying the application to on-premises or AWS environments.

In comparison to development teams, the DevOps team is needed to generate and deliver cloud instances and services more often. AWS resource templates, such as EC2 instances, ECS containers, and S3 storage buckets, allow you to build up the full stack without having to connect everything. You will have responsibilities as an AWS DevOps Engineer expert in an organisation. You must deploy, automate, administer, and maintain the AWS cloud-based system to assure its performance, scalability, availability, and security. You must also handle the systems' construction, deployment, and configuration. To be an AWS engineer, take up the AWS DevOps certification course from RAM training and get a better learning path to advance in your career. The DevOps engineer course teaches you the fundamentals of continuous integration/continuous delivery, automated configuration management, inter-team communication, and IT service agility. The course employs well-known DevOps tools such as Ansible, Cucumber, Docker, Git, Jenkins, Nagios, and TeamCity. One of the most important responsibilities of a DevOps specialist is to automate particular processes. This AWS service enables businesses to automate a variety of manual operations such as deployment and testing. Furthermore, AWS Management Console and AWS Command Line Interface (CLI) aid in the management and automation of multiple activities, as well as the provision of reports on the achievement of the desired outcomes.

Consider upskilling if you're currently working in DevOps with our AWS DevOps training program. The more talents you have under your belt, the more valuable you are to your present or prospective employer. The aws devops certification programme can help you prepare for a future in DevOps, a rapidly emerging sector that connects software engineers and operations. The DevOps course includes over 55 hours of Blended Learning, two dozen live demos of prominent DevOps technologies, more than ten industrial projects, 24/7 support, and lifelong access to self-paced learning materials.

AWS DevOps online training
  • Module 1: Introduction to Cloud Computing & AWS
    • 1.1 What is Cloud Computing
    • 1.2 How AWS is the leader in the cloud domain
    • 1.3 Various cloud computing products offered by AWS
    • 1.4 Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
    • 1.5 Getting a detailed understanding of the AWS architecture and the AWS Management Console
    • 1.6 Introduction to AWS EC2
    • 1.7 Comparing Public IP and Elastic IP
    • 1.8 Demonstrating how to launch an AWS EC2 instance
    • 1.9 What is auto-scaling
    • 1.10 AWS EC2 best practices and cost involved
    • 1.11 Understanding various concepts of backup services in AWS
  • Module 2 - Database services
    • 2.1 Elastic Block Storage (EBS) for block-level persistent storage volumes with S3 buckets
    • 2.2 Amazon RDS and Amazon Aurora which are relational databases
    • 2.3 Amazon DynamoDB which is a NoSQL database
    • 2.4 Understanding Amazon Redshift which is a data warehousing product
    • 2.5 Amazon ElasticCache which is an in-memory data store
    • 2.6 Deploying AWS database migration service
  • Module 3: Object Storage
    • 3.1 Introduction to AWS storage
    • 3.2 AWS S3 (Simple Storage Service)
    • 3.3 Creating an AWS S3 bucket
    • 3.4 AWS Storage Gateway
    • 3.5 Understanding the Command Line Interface (CLI)
    • 3.6 Hosting a static website using Amazon S3
    • 3.7 Amazon Glacier storage for long-term data backup and archiving
    • 3.8 Amazon Snowball for data import/export
  • Module 4: Autoscaling and load balancing
    • 4.1 Understanding Fault Tolerance in AWS
    • 4.2 In-depth study of Elastic Load Balancing
    • 4.3 The types of Load Balancers viz. Classic and Application
    • 4.4 AWS Auto Scaling mechanism
    • 4.5 Understanding AWS Management Console
    • 4.6 How to access the Elastic Load Balancing
    • 4.7 Studying AWS SDK, AWS CLI, and Https Query API
  • Module 5: Virtual Private Cloud
    • 5.1 What is Amazon VPC
    • 5.2 VPC as a networking layer for EC2
    • 5.3 Getting started with VPC
    • 5.4 Examples
    • 5.5 VPC and Subnets
    • 5.6 Default and non-default VPCs
    • 5.7 Components of VPC networking
    • 5.8 IP addressing
    • 5.9 Security
    • 5.10 VPN connections
    • 5.11 Accessing the internet
    • 5.12 Using AWS PrivateLink to access the services
    • 5.13 VPC supported platforms
  • Module 6: Application services, AWS Lambda and CLI
    • 6.1 Introduction to various AWS application services
    • 6.2 Elastic Beanstalk
    • 6.3 Simple Email Services (SES)
    • 6.4 Simple Notification Service (SNS)
    • 6.5 AWS Lambda
    • 6.6 Elastic OpsWorks and CLI
  • Module 7: IAM and monitoring
    • 7.1 Authentication (who can use) and Authorization (level of access)
    • 7.2 IAM Policies – JSON structure, users, groups and their Roles
    • 7.3 IAM HTTPS API
    • 7.4 Logging IAM events with AWS CloudTrail
    • 7.5 Monitoring and managing AWS resources using CloudWatch
    • 7.6 Deploying configuration alerts and notifications with CloudWatch
    • 7.7 Billing for CloudWatch
  • Module 8: Configuration management and automation
    • 8.1 Configuration management and automation of server configuration using OpsWorks
    • 8.2 Determining how servers are configured, managed and deployed across EC2 instances
    • 8.3 Creating a virtual machine using Amazon Machine Image (AMI)
    • 8.4 Introduction to the Domain Name Registration service AWS Route 53
    • 8.5 How to route internet traffic to resources
    • 8.6 Checking the health of resources automatically
    • 8.7 Provisioning of infrastructure resources using AWS CloudFormation
  • Module 9: Architecting AWS – whitepaper
    • 9.1 Important guidelines for creating a well architected AWS framework that is resilient and performant
    • 9.2 Designing of fault-tolerant and high-availability architecture, resilient storage, decoupling mechanism, multi-tier architecture solution, disaster recovery solution, scalable and elastic solutions
  • Module 10: AWS Architect Questions
    • 10.1 Guidance for clearing the exam
    • 10.2 Most probable interview questions and other helpful tips for clearing the exam and interview
  • Module 11: AWS Migration
    • 11.1 Migrating to the AWS cloud
    • 11.2 Business drivers for migration
    • 11.3 Various stages of cloud adoption
    • 11.4 The actual migration process
    • 11.5 Migration tools and services in AWS
    • 11.6 Customer migration to the AWS cloud
    • 11.7 Monitor the migration of applications. Data migration, application migration, and database migration are among the
    • 11.8 Types of migration.
  • Module 12: AWS Security
    • 12.1 AWS cloud security essentials
    • 12.2 Penetration testing
    • 12.3 Security compliance
    • 12.4 Infrastructure Security
    • 12.5 Mitigating DDOS
    • 12.6 Identity and Access Control (IAM)
    • 12.7 Logging and monitoring
    • 12.8 Automatic audits and compliance
    • 12.9 Limitations and challenges of native AWS security
  • Module 13: Infrastructure Setup
    • 13.1 Installation of DevOps Tools on AWS
    • 13.2 Git
    • 13.3 Docker
    • 13.4 Selenium
    • 13.5 Maven
    • 13.6 Jenkins
    • 13.7 Puppet
    • 13.8 Ansible
    • 13.9 Kubernetes
    • 13.10 Nagios
  • Module 14: Introduction to DevOps
    • 14.1 What is Software Development?
    • 14.2 Software Development Life Cycle
    • 14.3 Traditional Models for SDLC
    • 14.4 Why DevOps?
    • 14.5 What is DevOps?
    • 14.6 DevOps Lifecycle
    • 14.7 DevOps Tools
  • Module 15: Software Version Control
    • 15.1 What is Version Control
    • 15.2 Types of Version Control System
    • 15.3 Introduction to SVN
    • 15.4 Introduction to Git
    • 15.5 Git Lifecycle
    • 15.6 Common Git Commands
    • 15.7 Working with Branches in Git
    • 15.8 Merging Branches
    • 15.9 Resolving Merge Conflicts
    • 15.10 Git Workflow
  • Module 16: Containerization using Docker - Part I
    • 16.1 Introduction to Docker
    • 16.2 Understanding Docker Lifecycle
    • 16.3 Components of Docker Ecosystem
    • 16.4 Common Docker Operations
    • 16.5 Creating a DockerHub Account
    • 16.6 Committing changes in a Container
    • 16.7 Pushing a Container Image to DockerHub
    • 16.8 Creating Custom Docker Images using Dockerfile
  • Module 17: Containerization using Docker - Part II
    • 17.1 What are Docker Volumes
    • 17.2 Deploying a Multi-Tier Application using Docker Network
    • 17.3 Using Docker Compose to deploy containers
    • 17.4 What is Container Orchestration
    • 17.5 Container Orchestration Tools
    • 17.6 Introduction to Docker Swarm
    • 17.7 Deploying a 2-Node Cluster using Docker Swarm
  • Module 18: Configuration Management using Puppet
    • 18.1 Need of Configuration Management
    • 18.2 Configuration Management Tools
    • 18.3 What is Puppet
    • 18.4 Puppet Architecture
    • 18.5 Setting up Master Slave using Puppet
    • 18.6 Puppet Manifests
    • 18.7 Puppet Modules
    • 18.8 Applying configuration using Puppet
    • 18.9 Puppet File Server
  • Module 19: Configuration Management using Ansible
    • 19.1 What is Ansible?
    • 19.2 Ansible vs Puppet
    • 19.3 Ansible Architecture
    • 19.4 Setting up Master Slave using Ansible
    • 19.5 Ansible Playbook
    • 19.6 Ansible Roles
    • 19.7 Applying configuration using Ansible
  • Module 20: Continuous Testing
    • 20.1 What is Continuous Testing?
    • 20.2 What is Maven?
    • 20.3 Running Test Cases on Chromium Web Driver
    • 20.4 What is Headless Mode?
  • Module 21: Continuous Integration using Jenkins
    • 21.1 Introduction to Continuous Integration
    • 21.2 Jenkins Master Slave Architecture
    • 21.3 Understanding CI/CD Pipelines
    • 21.4 Creating an end to end automated CI/CD Pipeline
  • Module 22: Continuous Orchestration using Kubernetes
    • 22.1 Introduction to Kubernetes
    • 22.2 Docker Swarm vs Kubernetes
    • 22.3 Kubernetes Architecture
    • 22.4 Deploying Kubernetes using Kubeadms
    • 22.5 Alternate ways of deploying Kubernetes
    • 22.6 YAML Files
    • 22.7 Creating a Deployment in Kubernetes using YAML
    • 22.8 Services in Kubernetes
    • 22.9 Ingress in Kubernetes
  • Module 23: Continuous Monitoring using Nagios
    • 23.1 What is Continuous Monitoring
    • 23.2 Introduction to Nagios
    • 23.3 Nagios Architecture
    • 23.4 Monitoring Services in Nagios
    • 23.5 What are NRPE Plugins
    • 23.6 Monitoring System Info using NRPE plugins
  • Module 24: DevOps on AWS
    • 24.1 How to deploy DevOps principles and methodology on the AWS platform
    • 24.2 DevOps lifecycle and the important stages in the DevOps methodology
    • 24.3 What is AWS CodeBuild
    • 24.4 AWS CodeCommit
    • 24.5 AWS CodePipeline
    • 24.6 AWS CodeDeploy
  • Module 25: Deploying Infrastructure with Terraform
    • 25.1 Installing Terraform – Windows Users
    • 25.2 Installing Terraform – Linux Users
    • 25.3 Choosing Right IDE for Terraform IAC development
    • 25.4 Creating first EC2 instance with Terraform
    • 25.5 Terraform Code – First EC2 Instance
    • 25.6 Understanding Resources & Providers
    • 25.7 Destroying Infrastructure with Terraform
    • 25.8 Destroying Specific Resource
    • 25.9 Understanding Terraform State files
    • 25.10 Understanding Desired & Current States
    • 25.11 Challenges with the current state on computed values
    • 25.12 Terraform Commands – State Files
    • 25.13 Terraform Provider Versioning
    • 25.14 Types of Terraform Providers
    • 25.15 Understanding Attributes and Output Values in Terraform
    • 25.16 Attribute Resource (Document)
    • 25.17 Referencing Cross-Account Resource Attributes
    • 25.18 Terraform Variables
    • 25.19 Data Types for Variables
    • 25.20 Fetching Data from Maps and List in Variable
    • 25.21 Terraform Format
    • 25.22 Validating Terraform Configuration Files
  • Module 26: Terraform Modules & Workspaces
    • 26.1 What is Infrastructure as a code
    • 26.2 Inc vs Configuration Management
    • 26.3 Introduction to Terraform
    • 26.4 Installing Terraform on AWS
    • 26.5 Basic Operations in terraform
      • i. init
      • ii. plan
      • iii. apply
      • iv. destroy
    • 26.6 Terraform Code Basics
    • 26.7 Deploying an end-to-end architecture on AWS using Terraforms

Ram trainings is a well-known resource for providing AWS DevOps live training. We have a proven track record of training enthusiasts and professionals according to their requirements and convenience.

Ram trainings is a reliable source that readily welcomes you to provide AWS DevOps job placements in the USA by understanding your job requirements. We help you to become a confident candidate and acquire excellent job placement. Our touch will distinguish your profile from others, allowing you to gain credibility with hiring managers and recruiters in a short time.

Ram Training is the best destination for employees and freshers seeking a reliable resource to achieve a long-lasting career in the field. We offer 100% live AWS DevOps training with experts.

Yes. Candidates seeking a rewarding career in the field can benefit from our AWS DevOps placement assistance. Through our unwavering commitment to high-end research and quality, we have earned the trust of candidates over the years.

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Testimonial 1

I had AWS DevOps training from Ram trainings. They assisted me from the first call until the offer letter was received very professionally, responded to every single query, and were available whenever I reached out to them. Thank you very much, highly appreciated!

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Testimonial 2

All my expectations have been met. At every stage of the process—from project planning to execution—the consultant acted professionally and delivered on time.

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Testimonial 3

I’m very happy with the service they provided; it's reliable, friendly, and professional.