Class Location

Online Classes (Video Call via UrbanPro LIVE)

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Tutor's Home

Years of Experience in Data Science Classes

7

Teaching Experience in detail in Data Science Classes

I have strong experience teaching Data Science with a real-time, industry-driven approach that integrates AI, AIOps, and MLOps practices. My training is focused on helping learners understand how data science is applied inside organizations, how models are built and deployed in production, and how AI workflows are automated end-to-end using modern DevOps and cloud tools. My teaching begins with deep clarity on Python for data science, statistics, EDA, feature engineering, and machine learning algorithms. Every concept is taught with hands-on labs, practical datasets, and mini-projects so students can build strong intuition. I emphasize how ML models are evaluated, tuned, validated, and prepared for production usage. Beyond core ML, I specialize in teaching real-world AIOps and MLOps workflows—including data pipelines, model versioning, MLflow tracking, automated training pipelines, CI/CD for ML, containerizing models, deploying them on AWS/GCP/Azure, monitoring model drift, and integrating Observability tools like Prometheus, Grafana, and OpenTelemetry for insights. Students also learn how AI is applied in real companies: anomaly detection for servers, log intelligence, predictive maintenance, ticket classification, customer churn analytics, and automated AI-driven root cause analysis. This helps them connect their learning to actual business scenarios. My sessions are fully hands-on with practical implementation using Python, Pandas, Scikit-Learn, TensorFlow/PyTorch basics, Docker, Kubernetes, CI/CD, cloud services, and API deployment. I also provide complete support with interview preparation, GitHub project building, resume enhancement, and 1:1 doubt clearing. Many of my learners have transitioned into Data Science, MLOps, and AI Engineer roles with the help of my structured training and real-time insights.

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Python Training classes

6

Teaching Experience in detail in Python Training classes

I have strong experience in teaching Python to beginners, students, and working professionals, with a focus on making them job-ready through practical, real-world examples. My training covers core Python concepts, scripting, automation, data handling, and building small projects that help learners understand how Python is used in DevOps, Cloud, Data, and AI fields.I explain every topic in a simple and structured way, ensuring that even non-IT learners can understand programming without fear. My sessions are completely hands-on, where students write code, debug issues, and complete exercises during the class. I also provide customized notes, interview questions, real-time assignments, and 1:1 doubt-clearing sessions.My Python training includes variables, loops, functions, OOPs, file handling, modules, virtual environments, REST API calls, data structures, and automation scripts. I also guide students on how Python is applied in real projects such as DevOps automation, cloud infrastructure management, data processing, and machine learning fundamentals. Many of my learners have successfully used my training to crack interviews, complete projects, and upgrade their skills for better career opportunities.

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in DevOps Training

6

Teaching Experience in detail in DevOps Training

I have extensive experience teaching DevOps to students, freshers, and working professionals, with a strong focus on practical, real-time industry implementation. My DevOps training model is completely hands-on, where learners work on live tools, real workflows, and projects that replicate production environments. I simplify every concept so that even beginners can understand DevOps from scratch and grow into job-ready engineers. Over the years, I have trained learners in key DevOps areas including Linux, Git & GitHub, CI/CD pipelines, Jenkins, Docker, Kubernetes, Terraform, Ansible, AWS Cloud, monitoring tools, Prometheus, Grafana, and real-time automation projects. Each session includes demonstrations, practical labs, troubleshooting exercises, and real-world case studies to build strong problem-solving skills. My teaching approach focuses on “learning by doing,” ensuring that students write pipelines, deploy applications, configure infrastructure, and solve real DevOps issues just like engineers in top companies. I provide personalized 1:1 mentorship, interview preparation, resume optimization, GitHub project building, and career guidance. Many of my students have successfully moved into DevOps, Cloud, and SRE roles with confidence.

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Amazon Web Services Training

6

Teaching Experience in detail in Amazon Web Services Training

I have strong experience in teaching Amazon Web Services (AWS) to students, freshers, and working professionals, helping them build a solid foundation in cloud computing and preparing them for real-world AWS projects. My AWS training is completely practical, focusing on hands-on labs, real-time scenarios, and industry workflows used by cloud engineers and DevOps teams. I train learners in key AWS services such as EC2, VPC, S3, IAM, Load Balancers, Auto Scaling, RDS, EBS, CloudWatch, CloudTrail, Lambda, Route 53, and Networking. Every session includes live demonstrations where students create, configure, and deploy resources directly in the AWS console. I also cover best practices, security, high availability design, architecture diagrams, troubleshooting, and cost optimization to ensure students understand how AWS is used in real companies. My teaching approach focuses on breaking down complex cloud concepts into simple, easy-to-understand explanations. Students work on real-time projects like VPC setup, multi-tier architecture, load-balanced applications, serverless workflows, and CI/CD deployments on AWS. I also provide one-on-one mentoring, interview preparation, certification guidance, and support in building strong AWS-based GitHub projects. Many of my learners have successfully cracked AWS job roles and cloud certifications through my structured training and continuous guidance.

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's home

Tutor's Home

Years of Experience in Azure Devops Training

6

Teaching Experience in detail in Azure Devops Training

I have extensive experience teaching Azure DevOps to students and working professionals, with a strong focus on real-time industry implementation, pipelines, and end-to-end automation. My Azure DevOps training is fully practical, where learners work directly on Azure Boards, Repos, Pipelines, Artifacts, and Releases to understand how modern DevOps workflows operate inside an enterprise environment. I guide learners through every stage of the DevOps lifecycle using Azure DevOps tools—source code management with Git, CI pipeline setup, YAML pipelines, multi-stage CD deployments, containerization with Docker, Kubernetes deployments on AKS, infrastructure automation using Terraform or ARM, and secure secret management using Azure Key Vault. Every concept is taught with live demos, hands-on labs, and real-time troubleshooting examples. My teaching approach focuses on making students job-ready by providing real use cases such as creating CI/CD pipelines for .NET and Node.js applications, automated testing integration, approvals & gates, release strategies, environment configuration, branching strategies, and monitoring integrations. I also cover Azure cloud services like Web Apps, App Service, Storage, Container Registry, and AKS to ensure students understand complete DevOps workflows on Azure. Students receive personalized mentorship, 1:1 doubt clearing, interview preparation, resume improvements, and real Azure DevOps project practice. Many learners have successfully secured DevOps roles using the practical Azure DevOps skills, project experience, and confidence built during my training.