DevOps Engineering with Python
DevOps Engineering with Python
Last updated 7/2025
Duration: 41m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 192.89 MB
Genre: eLearning | Language: English
Last updated 7/2025
Duration: 41m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 192.89 MB
Genre: eLearning | Language: English
Automation, Infrastructure, and CI/CD with Python
What you'll learn
- Understand the roles and responsibilities of a DevOps engineer and how Python fits into modern DevOps workflows.
- Automate infrastructure tasks using Python libraries like os, subprocess, and shutil.
- Build and deploy CI/CD pipelines using tools such as GitHub Actions, Docker, and Python scripts.
- Create real-world automation projects: system monitoring, log analysis, and auto-deployment scripts.
Requirements
- Basic understanding of Python is recommended, but beginners will find helpful guidance throughout the course.
Description
ThisDevOps Engineering with Pythoncourse is designed for professionals who want to master modern DevOps practices by leveraging the power and versatility of Python. Throughout this course, you will gain practical skills to automate complex workflows, manage infrastructure as code, and streamline software delivery processes using continuous integration and continuous deployment (CI/CD) pipelines.
You will start by understanding the core concepts of DevOps and how Python fits into the automation and orchestration landscape. The course covers a wide range of essential topics including system administration automation, scripting for cloud services, and working with popular containerization tools such as Docker and Kubernetes. You’ll also learn how to create and manage infrastructure using tools like Ansible and Terraform through Python scripting.
In addition, the course emphasizes best practices for monitoring, logging, and maintaining system health to ensure reliability and scalability of deployed applications. Real-world projects and hands-on exercises will help solidify your understanding of these concepts, preparing you to handle real operational challenges efficiently.
By the end of this course, you will be equipped to design, develop, and deploy robust DevOps solutions that improve collaboration between development and operations teams, reduce manual errors, and accelerate software delivery cycles. Whether you are a software engineer, system administrator, or IT professional, this course will empower you to automate and optimize infrastructure management using Python effectively.
Who this course is for:
- Python developers who want to expand their skills into DevOps and infrastructure automation.
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