This course provides DevOps Using Python comprehensive introduction to principles and practices, focusing on the use of Python for automation and streamlining development and operations workflows. Students will learn how to leverage Python for tasks like code management, automation, configuration management, containerization, and CI/CD pipelines. The course emphasizes practical application through real-world projects and
Key Features of Course Divine:
Career Opportunities After DeVOps Using Python:
Essential Skills you will Develop DeVOps Using Python:
Tools Covered:
Syllabus:
Module 1: Introduction to DevOps and Python What is DevOps? Key principles and practices DevOps lifecycle and tools overview Why Python in DevOps? Python basics refresher (variables, loops, functions, OOP) Python environment setup.
Module 2: Linux Fundamentals for DevOps Basic Linux/Unix commands File system navigation and permissions Bash scripting vs Python scripting Managing processes, services, and packages (apt/yum) SSH and remote access automation.
Module 3: Version Control with Git and Python Automation Git basics and workflow (clone, commit, push, pull) Git branches and merging Automating Git operations with Python (GitPython) Managing GitHub via Python scripts (using GitHub API).
Module 4: Python for Infrastructure as Code (IaC) Introduction to IaC concepts Using Python to generate dynamic configuration files (YAML, JSON, INI) Automating provisioning with Python scripts Intro to tools like Terraform, and integrating with Python.
Module 5: Configuration Management with Python and Ansible Configuration Management concepts Ansible overview and architecture Writing Ansible playbooks
Integrating Python with Ansible (custom modules, dynamic inventories) Automating infrastructure tasks.
Module 6: Continuous Integration (CI) with Python What is CI/CD? Jenkins introduction and setup Using Python for Jenkins job automation (via Jenkins REST API) Writing Python-based build/test scripts CI pipeline demo with Git + Jenkins + Python.
Module 7: Docker and Containers with Python Docker architecture and image basics
Writing Docker files and managing containers Using Python to control Docker (docker- ) Automating container lifecycle (build, run, stop, remove) Docker Compose basics and automation.
Module 8: Kubernetes and Python Integration Kubernetes architecture and core components Deploying applications to K8s clusters Managing Kubernetes resources with Python client library) Writing Python scripts for scaling, monitoring, and deployment.
Module 9: Monitoring and Logging with Python Importance of observability in DevOps Log monitoring tools: ELK, Prometheus Writing custom Python scripts for logging and alerting Integrating with monitoring APIs.
Module 10: Capstone Project & Certification Real-world DevOps automation project using Python Sample project ideas: Automated CI/CD pipeline.
Industry Projects:
Who is this program for?
How To Apply
Mobile: 9100348679
Email: coursedivine@gmail.com
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