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Aws DevOps Training In Hyderabad

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Batch Details

Aws DevOps Training In Hyderabad
Trainer Name
Trainer Experience
12 Years
Next Batch Date
21st July'24
Course Duration
60+ Classes
Call us at
+91 784 226 6111

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Aws DevOps Training In Hyderabad

 History of DevOps
 Dev and Ops
 DevOps definitions
 DevOps and Software Development Life Cycle
 DevOps main objectives
 Infrastructure As A Code

 Basic concepts of Operating System, Kernel, Shell & File System structure
 Important Commands for Administration
 Installation of Tools
 User Management
 File Permissions
 Package Management
 Networking
 Automating tasks with Cron
 Apache Configuration
 SSH configuration
 Logging

 Installation and Server setup
 Git Commands and Repository
 Working With GitHub
 Creating GitHub Repositories
 Creating Pull Request and Merging
 Branch Protection Rules
 Creating Organizations
 Creating Teams and Authorizations
 Clone/Pull/Fetch
 Logs
 Difference
 Status
 Push
 Branching
 Branching Strategy
 Merging Branches
 Merging Strategies
 Merge Conflicts

 Light weighted
 Annotated

 Reset
 Revert
 Rebase
 Cherry-pick
 GitHub Desktop

 Maven architecture
 Maven installation and running
 Build phases and goals
 Maven repositories
 Project Object Model (POM) and it’s sections
 Creating of POM file and running the build phases
 Integrating maven with Jenkins

 Creating repositories
 Integrate nexus with Jenkins

 Upload artifacts to nexus
 Download artifacts from nexus

 Continuous Integration with Jenkins Overview
 Installation of Jenkins
 Jenkins management
 Configure System
 Global Tool Configuration
 Managing Plugins
 Nodes management
 Security
 Support for the Git version control systems
 Different types of Jenkins Jobs
 Freestyle jobs
 Parameterized jobs
 Chain jobs
 Pipeline jobs
 Multi branch pipeline job

 Setting up a Jenkins job
 Scheduling build Jobs
 Tools integrations

 Jenkins Backup
 Jenkins CLI
 Jenkins Script Console

 Introduction to Ansible
 Introduction to YAML
 Ansible Documentation
 Setup and Configuration
 Ansible command line
 System Facts
 Target Section
 Variable Section

 Setup Module
 File Module
 Pause Module
 Yum Module
 Service Module
 Copy Module
 Cloud Module
 Package Module etc

 Creating Roles manually
 Creating Roles using galaxy
 Working with community Roles
 Reusability of the roles

 Creating Dynamic inventory
 Working with inventory

 What are containers
 Diffrence between VM’s & Containers
 Hypervisor Vs Docker Engine
 Docker Introduction
 Docker installation
 Images & containers basics
 Images
 Docker Images Deep Dive
 DockerHub
 Pull & Push images
 Building your own Image with Dockerfile
 Docker & Jenkins integration
 Hosting & Managing Images
 Containers
 Deep Dive
 Running, Stopping, Deleting, Inspecting & Managing containers
 Docker networking
 Web server examples
 Local Developemnt workflow

 Docker Compose
 Automated WorkFlow

 Docker Swarm

 Docker Orchestration with Kubernetes
 Kubernetes Intro & Architecture
 Why Containers for microservices
 Kubernetes setup
 Kubectl
 Pod
 Service
 Deamonset
 Replication controller
 Deployment
 Statefulset
 Configmaps
 Secrets
 Horizontal Pod Autoscaler(HPA)
 Deployment Strategies
 Manifest files

 Terraform setup on linux machine
 Terraform setup on windows machine
 Understanding of Providers
 Variables declaration and usage
 Data source usage
 Understanding of Modules and usage
 Writing terraform scripts
 Build infrastructure
 Destroy infrastructure

 Installation and Configuration
 Understanding the Metrics
 Executing the Queries
 Installation and Configuration
 Integrating Prometheus
 Creating Dashboards
 Creating Panels

 Identity Access Management (IAM)
 S3 Buckets
 EC2

 Load Balancers
 Monitoring and Logging with Cloud Watch
 Route53
 LB
 Auto Scaling

What is Aws DevOps ?

AWS DevOps refers to the application of DevOps practices and principles within the context of Amazon Web Services (AWS), a leading cloud computing platform. It involves leveraging AWS services and tools to automate and streamline software development, deployment, and operations processes. Key aspects of AWS DevOps include:

Infrastructure as Code (IaC): Automating infrastructure provisioning and management using AWS CloudFormation or Terraform.

Continuous Integration/Continuous Deployment (CI/CD): Setting up automated pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy for seamless application delivery.

Monitoring and Logging: Using AWS CloudWatch to monitor AWS resources, applications, and setting up logging for operational visibility.

Security: Implementing AWS IAM, encryption, and compliance controls to ensure secure deployment and operation of applications.

Why Aws DevOps ?

Scalability and Flexibility: AWS offers extensive services for scalable and flexible infrastructure and application deployment.

Automation and Efficiency: DevOps practices on AWS automate processes like Infrastructure as Code (IaC) and CI/CD pipelines for increased efficiency.

Cost-Effectiveness: AWS’s pay-as-you-go model and cost optimization tools help manage expenses based on actual usage, reducing overall costs.

Security: AWS provides robust security features including encryption, IAM, and compliance certifications, ensuring data protection and regulatory compliance.

Reliability and Resilience: AWS infrastructure is designed with high availability, fault tolerance, and redundancy for reliable application performance.

Prerequisites to Aws DevOps ?

Job Opportunities

Aws DevOps Training In Hyderabad


Implement and manage CI/CD pipelines using Azure DevOps.

Automate infrastructure deployment and configuration using tools like Azure Resource Manager (ARM) templates or Infrastructure as Code (IaC) scripts.


Collaborate with development teams to understand application requirements and optimize build processes.

Integrate automated testing and code quality checks into CI/CD pipelines.

Monitor and optimize pipeline performance, ensuring efficient and reliable software delivery.

Ensure security and compliance standards are met throughout the deployment pipeline.

Troubleshoot deployment issues and provide timely resolutions.


Bachelor’s degree in Computer Science, Engineering, or related field preferred.


Proficiency with Azure DevOps tools (Azure Pipelines, Azure Repos, Azure Artifacts).

Experience with infrastructure as code (IaC) tools like ARM templates or Terraform.

Knowledge of scripting languages (PowerShell, Bash) for automation.

Understanding of containerization and orchestration tools (Docker, Kubernetes).

Familiarity with cloud platforms (Azure, AWS, Google Cloud).

Strong problem-solving and troubleshooting skills.

Roles and Responsibilities:

Architect and deploy scalable and reliable cloud infrastructure on AWS.

Ensure security, availability, and performance of AWS solutions.

Implement disaster recovery and backup strategies on AWS.

Optimize cost and resource utilization in AWS environments.

Collaborate with stakeholders to understand business requirements and translate them into technical solutions.


Deep understanding of AWS services and capabilities across compute, storage, networking, and database.

Experience with IaC and automation tools (e.g., CloudFormation, Terraform).

Knowledge of networking concepts and AWS networking services (e.g., VPC, Route 53).

Strong troubleshooting and problem-solving skills.

Ability to design and implement scalable architectures on AWS.


Bachelor’s degree in Computer Science, Information Technology, or a related field.

AWS certifications like AWS Certified Solutions Architect – Associate or Professional (recommended).

Roles and Responsibilities:

Ensure high availability, reliability, and performance of AWS-hosted applications and services.

Implement monitoring, alerting, and incident response procedures using AWS CloudWatch and other tools.

Automate routine tasks and processes to improve efficiency and reliability.

Participate in capacity planning and scaling of AWS resources.

Collaborate with development teams to design resilient architectures and improve application reliability.


Proficiency in AWS services for monitoring, logging, and auto-scaling.

Experience with scripting languages and automation tools (e.g., Python, Ansible).

Knowledge of containerization and orchestration (e.g., Docker, Kubernetes on AWS).

Familiarity with Agile methodologies and DevOps practices.

Strong analytical and troubleshooting skills.


Bachelor’s degree in Computer Science, Engineering, or a related field.

AWS certifications like AWS Certified DevOps Engineer – Professional (beneficial).

Roles and Responsibilities:

Design and deploy AWS cloud architectures that meet business and technical requirements.

Define cloud strategies and migration plans for moving applications and workloads to AWS.

Ensure compliance with security, governance, and regulatory requirements in AWS environments.

Evaluate and recommend AWS services and tools to optimize performance and cost.

Lead technical discussions and present AWS solutions to stakeholders.


Expertise in designing highly available, scalable, and fault-tolerant architectures on AWS.

Proficiency in AWS services across compute, storage, database, networking, and security.

Strong understanding of IaC principles and tools (e.g., CloudFormation, Terraform).

Experience with architecting solutions using AWS managed services (e.g., RDS, DynamoDB).

Excellent communication and stakeholder management skills.


Bachelor’s degree in Computer Science, Information Technology, or a related field.

AWS certifications like AWS Certified Solutions Architect – Professional (highly recommended).

Roles and Responsibilities:

Develop scripts and automation tools to manage AWS infrastructure and applications.

Implement and maintain CI/CD pipelines for continuous integration and deployment.

Automate testing and monitoring processes to improve efficiency and reliability.

Collaborate with development and operations teams to streamline workflows and processes.

Evaluate and recommend automation solutions to enhance productivity and reduce manual effort.


Proficiency in scripting languages such as Python, Bash, or PowerShell.

Experience with CI/CD tools and pipelines (e.g., Jenkins, AWS CodePipeline).

Knowledge of configuration management tools (e.g., Ansible, Chef, Puppet).

Familiarity with version control systems like Git.

Strong problem-solving and analytical skills.


Bachelor’s degree in Computer Science, Engineering, or a related field (preferred).

AWS certifications like AWS Certified Developer – Associate or AWS Certified DevOps Engineer – Professional (advantageous).

Aws DevOps Certification

Exam Registration:

Register for the AWS Certified DevOps Engineer – Professional exam through the AWS Certification website.

Exam Preparation:

  • Study the exam guide provided by AWS, which outlines the topics covered in the exam.
  • AWS recommends practical experience in deploying and managing AWS environments to complement theoretical knowledge.

Training and Resources:

  • Attend AWS training courses specifically designed for DevOps Engineers, such as “DevOps Engineering on AWS” or relevant workshops.
  • Utilize AWS documentation, whitepapers, and official practice exams to enhance your understanding of AWS services and DevOps practices.

Exam Format:

  • The AWS DevOps Engineer – Professional exam consists of multiple-choice and multiple-answer questions.
  • You have 180 minutes (3 hours) to complete the exam.
  • The exam is available in multiple languages and can be taken at a testing center or via online proctoring.

Passing the Exam:

  • Achieve a passing score on the exam (typically around 750 out of 1000).
  • AWS does not disclose the exact passing score, as it is subject to change based on the exam’s difficulty.

Certification Renewal:

  • AWS certifications are valid for three years.
  • You can renew your certification by either passing the current version of the AWS DevOps Engineer – Professional exam or by meeting the recertification requirements.


  • To maintain your certification, you can either pass the current version of the exam again or earn certain numbers of continuing education credits (CECs) by participating in eligible activities such as training courses, webinars, or conferences.

Verification and Badge:

Roles and Responsibilities:

Design and implement CI/CD pipelines to automate software delivery.

Manage infrastructure as code (IaC) using tools like AWS CloudFormation or Terraform.

Monitor and optimize AWS environments for performance and cost-efficiency.

Collaborate with development and operations teams to streamline processes and foster a DevOps culture.

Troubleshoot and resolve issues in AWS deployments and applications.


Proficiency in AWS services such as EC2, S3, IAM, Lambda, etc.

Experience with CI/CD tools like AWS CodePipeline, CodeBuild, and CodeDeploy.

Strong scripting and automation skills (e.g., Python, Bash).

Familiarity with Docker and container orchestration tools (e.g., ECS, EKS).

Knowledge of monitoring and logging tools such as AWS CloudWatch.

Understanding of Agile methodologies and DevOps practices.


Bachelor’s degree in Computer Science, Engineering, or a related field (preferred but not always required).

AWS certifications like AWS Certified DevOps Engineer – Professional (advantageous).

Course Outcome ?

Aws DevOps Training In Hyderabad

  • Understanding and proficiency in AWS services crucial for DevOps
  • Mastery of Infrastructure as Code (IaC) with AWS CloudFormation or Terraform
  • Implementation of CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy
  • Monitoring AWS resources using CloudWatch; setting up logging and alerting
  • Knowledge of AWS security features and best practices (IAM, security groups, encryption)
  • Designing high availability and scalable architectures with Auto Scaling, ELB, and Route 53
  • Container management with Amazon ECS or EKS; Docker deployment and management
  • Serverless computing with AWS Lambda; integration with API Gateway and DynamoDB
  • Proficiency in Git for version control; branching, merging, and collaboration workflows
  • Understanding DevOps principles, collaboration tools (e.g., Slack, Jira), and fostering a DevOps culture
  • Troubleshooting and resolving issues in AWS environments; effective use of AWS support services
  • Cost management and optimization strategies for AWS services; usage analysis and cost allocation tags

Mode Of Trainings

Aws DevOps Training In Hyderabad

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Aws DevOps Training In Hyderabad

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Aws DevOps Training In Hyderabad

rama krishna
rama krishna
I am a Skill centre technologies IT student, I got placed in a top MNC during my snowflake development training program, the training here is very interactive with students and it’s a good opportunity for passed out students who are looking for a developer job.
Konda Nsr
Konda Nsr
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General FAQs

Aws DevOps Training In Hyderabad

AWS DevOps training focuses on teaching participants how to leverage AWS services for implementing DevOps practices, including automation, CI/CD, infrastructure management, and more.

Professionals involved in software development, operations, or cloud infrastructure management who want to learn how to integrate AWS services with DevOps practices.


Typically, participants should have basic knowledge of cloud computing, familiarity with AWS services, understanding of software development and deployment processes, and proficiency in at least one programming language.

Participants will learn how to automate infrastructure provisioning with IaC, implement CI/CD pipelines using AWS tools, monitor applications and infrastructure with AWS CloudWatch, and apply security best practices on AWS.

Training institutes often prepare participants for AWS certifications such as AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional, depending on the depth of the training.

Training can be delivered in various formats, including instructor-led classroom sessions, virtual classrooms, self-paced online courses, or a combination of these. Hands-on labs and real-world scenarios are often included to enhance learning.

AWS DevOps certification validates your skills and expertise in implementing DevOps practices on AWS, making you more competitive in the job market and opening up career advancement opportunities.

Consider factors such as the institute's reputation, trainers' credentials, course content relevance to AWS certification exams, hands-on lab availability, student support, and alumni feedback.

Yes, reputable training institutes offer hands-on labs and practical exercises where participants can apply theoretical knowledge to real-world scenarios using AWS services.

Institutes may provide post-training support such as access to additional resources, exam preparation guidance, and assistance in job placement or career advice related to AWS DevOps roles.