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Python Training



ABOUT


DevOpsConsulting.in offers comprehensive Python training tailored for professionals looking to enhance their skills in DevOps environments. The training program covers fundamental to advanced Python concepts, focusing on automation, scripting, and integration with various DevOps tools. Participants learn how to utilize Python for automating repetitive tasks, managing configurations, and streamlining workflows. The curriculum is designed to equip learners with hands-on experience in using Python for cloud services, CI/CD pipelines, and system monitoring, ensuring they are well-prepared for real-world DevOps challenges. This course is ideal for system administrators, developers, and DevOps engineers seeking to leverage Python to improve operational efficiency.



We provide job oriented training in the area of Software Configuration management, Build and Release Engineering and DevOps domain . Candidates with engineering or software background and looking to either start or change their career to Build and Release Engineering, would benefit most from this training. This course offered online around the globe which include India, USA, Europe, Australia, Bangalore, Delhi, Pune, Mumbai, Chennai and Hydrabad. Instructor is an expert in Software configuration management, Build and release engineering and DevOps with more than 10 years industry experience in India.


COURSE OBJECTIVES


The objectives of the Python training at DevOpsConsulting.in include:


  • Master Python Fundamentals: Gain a strong foundation in Python programming, covering basic syntax, data types, control structures, and functions.
  • Automation with Python: Learn how to automate routine tasks in a DevOps environment, such as system monitoring, configuration management, and task scheduling.
  • Integration with DevOps Tools: Understand how to integrate Python with popular DevOps tools like Ansible, Jenkins, Docker, and Kubernetes to enhance automation and orchestration.
  • Build CI/CD Pipelines: Develop skills in using Python for automating Continuous Integration and Continuous Delivery (CI/CD) pipelines.
  • Cloud and Infrastructure Management: Use Python to manage cloud resources and automate infrastructure tasks on platforms such as AWS, Azure, and Google Cloud.
  • Error Handling and Debugging: Learn advanced techniques in Python for error handling, debugging, and improving code efficiency.
  • Real-World Projects: Gain hands-on experience through real-world projects, helping you apply Python skills in DevOps scenarios like system provisioning and deployment.
  • Improve Operational Efficiency: Leverage Python scripting to enhance the efficiency of DevOps processes and minimize manual intervention.

PRE-REQUISITES


The Python training at DevOpsConsulting.in is designed for individuals with a basic understanding of programming and DevOps concepts. While prior experience with Python is not mandatory, it is recommended that participants have familiarity with fundamental programming principles such as variables, loops, and conditionals. Additionally, a foundational understanding of DevOps practices and workflows will be beneficial for maximizing the learning experience. Basic knowledge of working with the command line interface (CLI) in Linux or Windows environments is also suggested, as many DevOps tasks and automation processes rely on CLI interactions.


FEATURES


The Python training at DevOpsConsulting.in offers several key features that make it an ideal choice for professionals aiming to excel in DevOps environments:


  • Comprehensive Curriculum: Covers a wide range of topics, from Python basics to advanced concepts like automation, scripting, and integration with DevOps tools.
  • Hands-On Learning: Provides practical, real-world projects and exercises to ensure learners gain experience in using Python for automation and DevOps tasks.
  • Expert Instructors: Led by industry experts with extensive experience in Python and DevOps, offering insights and guidance based on real-world practices.
  • Flexible Learning: Available in both online and in-person formats, with flexible scheduling options to accommodate working professionals.
  • Integration with DevOps Tools: Focuses on integrating Python with popular DevOps tools such as Jenkins, Docker, Kubernetes, and Ansible, helping participants automate and streamline workflows.
  • Cloud Automation: Includes modules on automating cloud infrastructure on platforms like AWS, Azure, and Google Cloud.
  • Continuous Support: Offers post-training support through forums, Q&A sessions, and access to course materials, ensuring learners can continue to develop their skills.
  • Certification: Upon successful completion, participants receive a certification that validates their expertise in Python for DevOps applications.

AGENDA


The agenda for the Python training at DevOpsConsulting.in is structured to provide a comprehensive learning experience, covering essential concepts and their practical application in DevOps environments:


Introduction to Python Programming

  • Overview of Python and its relevance in DevOps
  • Setting up the Python environment
  • Python basics: Variables, Data types, Control structures, and Functions

Python Data Structures

  • Lists, Tuples, Dictionaries, and Sets
  • Working with files and directories
  • Handling JSON and XML data

Advanced Python Concepts

  • Object-Oriented Programming (OOP) in Python
  • Modules, Packages, and Libraries
  • Error handling and debugging techniques

Python for Automation

  • Writing Python scripts for task automation
  • Automating system tasks (file handling, network operations, etc.)
  • Using Python to interact with APIs

Python in DevOps Workflows

  • Integrating Python with Jenkins for CI/CD
  • Automating Docker container management with Python
  • Using Python with Ansible for configuration management
  • Scripting for Kubernetes management

Cloud Automation with Python

  • Python for AWS, Azure, and Google Cloud automation
  • Automating infrastructure as code (IaC) using Python scripts

Python Testing and Debugging
  • Unit testing in Python using unittest
  • Automated testing with Python tools
  • Debugging Python scripts in DevOps workflows

Final Project

  • Hands-on project involving Python-based automation of a DevOps process
  • Applying learned skills to real-world DevOps scenarios

Conclusion and Certification

  • Review of key concepts
  • Q&A session
  • Certification of completion