Python with scripting, integration and cloud automation Course Overview

Python with scripting, integration and cloud automation Course Overview

The Python with Scripting, Integration, and Cloud Automation course is designed to equip learners with comprehensive knowledge and practical skills in Python programming, specifically tailored for automation tasks. This course delves into Python from the basics to advanced applications, such as scripting, integration with various tools, and automating cloud networking tasks. Students will start with an Introduction to Python, gaining an overview and developer guidance to build a solid foundation. They will learn about Python Installation/Configuration, understanding how to set up their development environment. The course will cover Python Modules, providing insights into code reuse and organization. With Python Scripting, students will master writing efficient scripts for automation. Python Integration lessons will teach how to combine Python with other tools, enhancing their capability. The course concludes with an exploration of Python in Cloud Networking and Cloud Automation, enabling learners to apply Python skills to automate tasks in cloud environments. This Python scripting course and Python scripting training are ideal for those looking to streamline processes and enhance productivity through automation.

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  • Live Online Training (Duration : 24 Hours)
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  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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  • 6 Months Access to Videos
  • Access via Laptop, Tab, Mobile, and Smart TV
  • Certificate of Completion
  • Hands-on labs
  • 20+ Tests Questions (Qubits)

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Course Prerequisites

To ensure that participants are well-prepared and can make the most of our Python with scripting, integration, and cloud automation course, the following prerequisites are recommended:


  • Basic understanding of programming concepts: Participants should have a fundamental grasp of programming constructs such as variables, loops, and conditional statements.
  • Familiarity with command-line operations: Comfort with using the command line or terminal for executing basic commands will be beneficial.
  • General knowledge of IT and computing: A foundational knowledge of computer systems, operating systems, and general IT concepts will help contextualize the lessons.
  • Basic problem-solving skills: The ability to think logically and solve problems will aid in understanding and applying Python concepts.
  • Eagerness to learn: A strong willingness to learn and explore new technologies is the most important prerequisite.

While these prerequisites are intended to provide a foundation for successfully undertaking the course, motivated students with less experience are also encouraged to participate, as the course is designed to accommodate learners with varying skill levels.


Target Audience for Python with scripting, integration and cloud automation

  1. This course equips participants with Python skills for scripting, tool integration, and automating cloud-based networks.


  2. Target Audience and Job Roles:


  • DevOps Engineers
  • Software Developers
  • System Administrators
  • Cloud Engineers
  • IT Professionals looking to automate tasks
  • Network Engineers interested in network automation
  • Data Scientists seeking to enhance data workflows with automation
  • Technical Managers overseeing development and operations teams
  • QA Engineers aiming to automate testing processes
  • Security Analysts interested in automating security tasks
  • Technical Support Engineers who want to automate routine tasks
  • Graduates aspiring to enter automation or development roles


Learning Objectives - What you will Learn in this Python with scripting, integration and cloud automation?

  1. Introduction: This course equips participants with a thorough understanding of Python scripting, integration with various tools, and automation techniques in cloud environments, fostering a comprehensive skill set for IT automation.

  2. Learning Objectives and Outcomes:

  • Gain a foundational understanding of Python programming language and its applications.
  • Learn to install and configure Python environment on different platforms.
  • Understand and utilize Python modules to enhance functionality and code reusability.
  • Develop skills in Python scripting to automate routine tasks efficiently.
  • Master integration techniques to connect Python with other software tools and systems.
  • Acquire hands-on experience with Python for network programming and cloud automation.
  • Explore best practices for Python development to write clean, maintainable, and efficient code.
  • Gain insights into cloud networking concepts and how Python can be leveraged to manage cloud resources.
  • Learn to troubleshoot and debug Python applications to maintain robust scripts and applications.
  • Prepare for real-world scenarios with guidance on advanced Python topics and developer recommendations.