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Rajashekar Amazon Web Services trainer in Hyderabad featuredIcon

Rajashekar

locationImg Nagole, Hyderabad
9 yrs of Exp
students 1 student
rsIcon 500 per hour
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AWS & AZURE(Devops) IT Professional Trainer with 14 years of experience in IT Industry Hyderabad

Online Classes
I am AWS & AZURE Devops trainer
PYTHON WITH DEVOPS (AWS AI & AZURE AI)
Cracking Interviews For
DevOps Engineer & Site Reliability Engineer
DEVOPS & SRE (INTERVIEW PREPARATION)
Who are came from non IT to IT & who wants to change their domain and Freshers
The training main intention is to clear your interview on your own
After training you have separate interview preparation weekly for four hours @8:30Am to 9:30 Am IST still you clear the interview.
I was trained by more than 500 people and above 350 people they were working in different companies.
Most of my students were able to get multiple offers on AWS Devops & Azure Devops from previous batches.
Devops Tools - Kuberneties, Docker, Terraform, Ansible, Git, lambda, Python, Shell Scripting.
• Chef, Puppet, Ansible,GIT,BITBUCKET,CI/CD pipeline, Splunk, Nagios, Prometheus and Grafana,JIRA, Confluence.
• Will give 5 to 6 years of work experience
• Learn 20+ Real time projects
• AWS Expected Questions
• Azure Expected Questions
• Shell Scripting Questions
• Python Scripting Questions
• Terraform with AWS & AZURE
• Docker Related Questions
• Kubernetes Related Questions
• Ansible Related Questions
• CICD Jenkins Questions
• Monitoring & Logs AND Deployment Strategies,Mock Interviews & Feedback.

Languages Spoken

Telugu Mother Tongue (Native)

English Proficient

Education

JNTU 2025

Bachelor of Technology (B.Tech.)

Address

Nagole, Hyderabad, India - 500035

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Teaches

Amazon Web Services Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Amazon Web Services Training

9

AWS Certification offered

AWS Certified Developer, AWS Certified SysOps Administrator, AWS Certified DevOps Engineer, AWS Certified Solutions Architect

AWS Certification Level offered

Professional, Associate

Teaching Experience in detail in Amazon Web Services Training

AWS Core Services: EC2, S3, VPC, IAM, RDS, Lambda. Cloud Architecture: High availability, scalability, and fault tolerance. DevOps on AWS: CI/CD pipelines using CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. Infrastructure as Code (IaC): CloudFormation and Terraform. Security & Compliance: Identity and Access Management, encryption, and monitoring. Serverless & Containers: AWS Lambda, API Gateway, ECS, and EKS. The training main intention is to clear your interview on your own 11 Microservice CICD Pipeline DevOps Project terrform scripts JENKINS END TO END CICD Implementation GitLab CI/CD Pipeline for Springboot REST API Build CI/CD Pipeline for Java Maven Using GitHub Actions infra creation usting terraform & CICD PIPELINE GitHub Actions Tutorial - CI/CD Pipeline with Docker 3-Tier Production Ready DevOps Project on AWS EKS | CI/CD, Monitoring, Logging AWS CI/CD | Deploy Spring Boot to ECS Using CodeBuild & CodePipeline Build & Deploy a Production-Ready Patient Management System with Microservices: Java Spring Boot AWS Jenkins CI/CD Pipeline - SonarQube, Docker, Github Webhooks on AWS AWS Expected Questions & Azure Expected Questions & Shell Scripting Questions & Python Scripting Questions & Terraform with AWS & AZURE Docker Related Questions Kubernetes Related Questions Ansible Related Questions

Azure Devops Training

Class Location

Online class via Zoom

Student's home

Tutor's Home

Years of Experience in Azure Devops Training

9

Teaching Experience in detail in Azure Devops Training

Azure DevOps fundamentals (Repos, Pipelines, Boards, Artifacts). CI/CD pipeline automation with YAML and Classic pipelines. Integration with GitHub, Jenkins, and other DevOps tools. Infrastructure as Code (IaC) using ARM templates, Terraform, and Bicep. Security and compliance practices (role-based access, policies, approvals). Designed progressive learning paths for beginners, intermediate, and advanced learners. End-to-end CI/CD pipelines for .NET, Java, and Node.js applications. Automated deployments to Azure App Services, AKS (Kubernetes), and VMs. Monitoring and feedback loops using Azure Monitor and Application Insights.

DevOps Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in DevOps Training

14

Teaching Experience in detail in DevOps Training

DevOps principles: culture, collaboration, automation, measurement, and sharing (CAMS model). Source control management with Git and branching strategies. Continuous Integration (CI) and Continuous Delivery (CD) pipelines. Containerization with Docker and orchestration with Kubernetes. Infrastructure as Code (IaC) using Terraform, Ansible, and Helm. Monitoring, logging, and feedback loops with Prometheus, Grafana, ELK stack. Built CI/CD pipelines integrating Jenkins, GitLab CI, and Azure DevOps. Deployed microservices to Kubernetes clusters with automated scaling. Implemented automated testing frameworks in pipelines. Practiced rollback strategies, blue-green deployments, and canary releases.

Reviews

No Reviews yet!

Teaches

Amazon Web Services Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Amazon Web Services Training

9

AWS Certification offered

AWS Certified Developer, AWS Certified SysOps Administrator, AWS Certified DevOps Engineer, AWS Certified Solutions Architect

AWS Certification Level offered

Professional, Associate

Teaching Experience in detail in Amazon Web Services Training

AWS Core Services: EC2, S3, VPC, IAM, RDS, Lambda. Cloud Architecture: High availability, scalability, and fault tolerance. DevOps on AWS: CI/CD pipelines using CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. Infrastructure as Code (IaC): CloudFormation and Terraform. Security & Compliance: Identity and Access Management, encryption, and monitoring. Serverless & Containers: AWS Lambda, API Gateway, ECS, and EKS. The training main intention is to clear your interview on your own 11 Microservice CICD Pipeline DevOps Project terrform scripts JENKINS END TO END CICD Implementation GitLab CI/CD Pipeline for Springboot REST API Build CI/CD Pipeline for Java Maven Using GitHub Actions infra creation usting terraform & CICD PIPELINE GitHub Actions Tutorial - CI/CD Pipeline with Docker 3-Tier Production Ready DevOps Project on AWS EKS | CI/CD, Monitoring, Logging AWS CI/CD | Deploy Spring Boot to ECS Using CodeBuild & CodePipeline Build & Deploy a Production-Ready Patient Management System with Microservices: Java Spring Boot AWS Jenkins CI/CD Pipeline - SonarQube, Docker, Github Webhooks on AWS AWS Expected Questions & Azure Expected Questions & Shell Scripting Questions & Python Scripting Questions & Terraform with AWS & AZURE Docker Related Questions Kubernetes Related Questions Ansible Related Questions

Azure Devops Training

Class Location

Online class via Zoom

Student's home

Tutor's Home

Years of Experience in Azure Devops Training

9

Teaching Experience in detail in Azure Devops Training

Azure DevOps fundamentals (Repos, Pipelines, Boards, Artifacts). CI/CD pipeline automation with YAML and Classic pipelines. Integration with GitHub, Jenkins, and other DevOps tools. Infrastructure as Code (IaC) using ARM templates, Terraform, and Bicep. Security and compliance practices (role-based access, policies, approvals). Designed progressive learning paths for beginners, intermediate, and advanced learners. End-to-end CI/CD pipelines for .NET, Java, and Node.js applications. Automated deployments to Azure App Services, AKS (Kubernetes), and VMs. Monitoring and feedback loops using Azure Monitor and Application Insights.

DevOps Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in DevOps Training

14

Teaching Experience in detail in DevOps Training

DevOps principles: culture, collaboration, automation, measurement, and sharing (CAMS model). Source control management with Git and branching strategies. Continuous Integration (CI) and Continuous Delivery (CD) pipelines. Containerization with Docker and orchestration with Kubernetes. Infrastructure as Code (IaC) using Terraform, Ansible, and Helm. Monitoring, logging, and feedback loops with Prometheus, Grafana, ELK stack. Built CI/CD pipelines integrating Jenkins, GitLab CI, and Azure DevOps. Deployed microservices to Kubernetes clusters with automated scaling. Implemented automated testing frameworks in pipelines. Practiced rollback strategies, blue-green deployments, and canary releases.

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