Python for DevOps Engineers ( Session 2 ) | Complete Tutorial | Mindbox Trainings

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Python for DevOps | Complete Hands-On Tutorial with Real-Time Projects
Welcome to the Python for DevOps training session by Mindbox Trainings — a must-watch for anyone serious about mastering automation, cloud workflows, and scripting in modern DevOps environments.

This video covers job-focused Python concepts, starting from basics and moving into advanced scripting used in real-world DevOps and cloud automation projects.

🔧 What You'll Learn in This Video:
✅ Why Python is critical for DevOps
✅ Basic syntax, loops, functions, and file operations
✅ Working with OS modules, subprocesses, APIs
✅ Real-time Python scripts for CI/CD pipelines
✅ Automating system tasks and monitoring
✅ Python + Shell/Ansible integration
✅ Industry use cases: AWS automation, log analysis, backups, alerts

🎯 Who Is This Video For?

DevOps Engineers & Cloud Admins

Linux SysAdmins transitioning to automation

IT professionals & students learning Python for scripting

Anyone preparing for DevOps interviews

AWS/Azure professionals expanding into automation

🎓 Want to Master DevOps with Python, Cloud & Real Projects?
This Python tutorial is part of our full DevOps Multi-Cloud with AWS & Azure program — a 6-month job-ready course covering:

🔹 Python, Bash, Shell Scripting
🔹 Ansible, Docker, Kubernetes, Terraform
🔹 AWS, Azure, Jenkins, CI/CD, Git, and more
🔹 Resume building + mock interviews + job support

👉 Enroll now:
https://mindboxtrainings.com/devops-multi-cloud-with-aws-azure/

👍 Like the video if it helped you
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🚀 Welcome to Mindbox Trainings – Your Destination for MLOps, DevOps, and Cloud Mastery!

At Mindbox Trainings, we specialize in MLOps, DevOps, Cloud Computing, and AI-driven technologies, helping IT professionals, developers, and data scientists master the latest industry skills. With 8+ years of experience, we provide high-quality training, real-world projects, and career guidance to individuals and corporate teams.

What You’ll Learn Here:
✅ MLOps – Model Deployment, CI/CD for ML, Kubernetes, Docker
✅ DevOps – Jenkins, GitHub Actions, Terraform, Ansible, AWS, Azure, GCP
✅ Cloud-Native Technologies – Kubernetes, Helm, Istio, Serverless Computing
✅ Data Engineering & AI Workflows – ML Pipelines, DataOps, Monitoring & Governance
✅ Hands-on Projects, Interview Preparation & Career Growth

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🔥 Join us & level up your tech career with real-world learning! 🚀

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Видео Python for DevOps Engineers ( Session 2 ) | Complete Tutorial | Mindbox Trainings канала Mindbox Trainings