Net DevOps: Cisco Python Automation NETCONF SDN Docker

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    Self Paced
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    /
Next Course
4.5
65,400 Ratings
This course provides an introduction to Cisco Network DevOps, covering topics such as ACI, Ansible, Python, SDN, Kubernetes, Docker, Containers, and NETCONF. It also includes free labs to help students gain hands-on experience.
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course provides an overview of NetDevOps, a new approach to network automation. Students will learn about Kubernetes, the differences between lean and fat automation, and the advantages of using Python and Ansible for automation. Additionally, students will gain an understanding of Software Defined Networking (SDN) and Cisco Application Centric Infrastructure (ACI). By the end of the course, students will have a better understanding of the tools and technologies used in NetDevOps.

[Applications]
After taking this course, students will be able to apply their knowledge of NetDevOps, Kubernetes, Python, Ansible, SDN, and Cisco ACI to their own projects. They will be able to use Python and Ansible to automate network tasks, and use Docker and Kubernetes to deploy applications. They will also be able to use SDN to create virtual networks and Cisco ACI to manage them. Finally, they will be able to use NetDevOps to create a DevOps environment for their projects.

[Career Paths]
1. Network Automation Engineer: Network automation engineers are responsible for automating network operations and maintenance tasks. They use scripting languages such as Python, Ansible, and Bash to automate network tasks such as configuration, monitoring, and troubleshooting. This role is becoming increasingly important as organizations move towards more automated and efficient network operations.

2. Network Security Engineer: Network security engineers are responsible for designing, implementing, and maintaining secure networks. They use a variety of tools and techniques to protect networks from malicious attacks and unauthorized access. This role is becoming increasingly important as organizations move towards more secure and reliable networks.

3. Network DevOps Engineer: Network DevOps engineers are responsible for developing and maintaining automated network operations and maintenance processes. They use scripting languages such as Python, Ansible, and Bash to automate network tasks such as configuration, monitoring, and troubleshooting. This role is becoming increasingly important as organizations move towards more automated and efficient network operations.

4. Network Software Developer: Network software developers are responsible for developing software applications that are used to manage and control networks. They use a variety of programming languages such as Java, C++, and Python to develop software applications that are used to manage and control networks. This role is becoming increasingly important as organizations move towards more automated and efficient network operations.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, such as programming, software engineering, and computer architecture. Additionally, students will learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing.

2. Bachelor of Science in Network Engineering: This degree path provides students with a comprehensive understanding of network engineering fundamentals, such as network design, network security, and network management. Additionally, students will learn about the latest trends in network engineering, such as software-defined networking (SDN), network automation, and network virtualization.

3. Master of Science in Computer Science: This degree path provides students with an advanced understanding of computer science fundamentals, such as programming, software engineering, and computer architecture. Additionally, students will learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing.

4. Master of Science in Network Engineering: This degree path provides students with an advanced understanding of network engineering fundamentals, such as network design, network security, and network management. Additionally, students will learn about the latest trends in network engineering, such as software-defined networking (SDN), network automation, and network virtualization.

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Pros & Cons
  • Easy to understand
  • Human element to break down barriers
  • Precise explanation
  • Kind and patient instructor
  • Problem with pip and python2
  • Some content went over head
  • New topic for some learners
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