Rajashekar Devops

I am an AWS and Azure DevOps Trainer specializing in DevOps, SRE, Cloud, Python automation, AI services, and interview preparation.

I train Freshers, Non-IT professionals moving into IT, and experienced professionals looking to change their domain. My primary focus is not just teaching tools, but helping candidates understand real-time scenarios and confidently handle DevOps and SRE interviews.

I have trained 500+ candidates, and 350+ of my students are currently working in different companies. Candidates from previous batches have also received multiple opportunities in AWS DevOps and Azure DevOps.

☁️ AWS, Azure & AI Technologies

My training covers AWS, Azure, and cloud-based AI services, including:

AWS AI Services:

Amazon Bedrock – Generative AI and foundation models
Amazon SageMaker – Machine Learning development and deployment
Amazon Q – AI-powered assistants for developers and businesses
Amazon Rekognition – Image and video analysis
Amazon Textract – Document and text extraction
Amazon Comprehend – Natural Language Processing
Amazon Transcribe – Speech-to-text
Amazon Polly – Text-to-speech
Amazon Translate – Language translation
Amazon Lex – Conversational AI and chatbots
🛠️ DevOps & Automation

I provide practical training on:

AWS | Azure | Kubernetes | Docker | Terraform | Ansible | Git | Bitbucket | Jenkins | CI/CD | Python | Shell Scripting | AWS Lambda | Chef | Puppet | Prometheus | Grafana | Splunk | Nagios | JIRA | Confluence

The training also includes 20+ real-time projects, AWS and Azure interview questions, Python and Shell scripting, Terraform with AWS & Azure, Docker, Kubernetes, Ansible, Jenkins/CI-CD, monitoring, logging, deployment strategies, mock interviews, and personalized feedback.
I also provide weekly interview-preparation sessions focused on real-world scenarios and 5–6 years experience-level interview expectations.
My main goal is to make candidates independent, technically strong, and confident enough to clear AWS DevOps, Azure DevOps, and SRE interviews on their own.