Implementing Automation for Cisco Collaboration Solutions (CLAUI) Course Overview

Implementing Automation for Cisco Collaboration Solutions (CLAUI) Course Overview

The Implementing Automation for Cisco Collaboration Solutions (CLAUI) course is designed to provide learners with the knowledge and skills necessary to implement automation and programmability in Cisco collaboration solutions. This course covers various aspects of network programmability, unified communications, cloud collaboration, collaboration endpoints, and meetings.

By exploring how to automate common tasks using APIs such as REST, RPC, and SOAP, as well as understanding the challenges and design patterns of synchronous and asynchronous API consumption, learners will gain proficiency in network automation. Additionally, the course delves into Python scripting, utilization of version control with git, and the deployment of collaboration applications.

The CLAUI course is particularly relevant for those preparing for the Cisco 300-835 CLAUTO exam. Through hands-on experience and theoretical knowledge, CLAUI equips professionals with the expertise to streamline Cisco collaboration environments effectively, making it a valuable asset for engineers looking to enhance their automation capabilities in the realm of Cisco collaboration technologies.

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Course Prerequisites

To ensure that you can successfully undertake training in the Implementing Automation for Cisco Collaboration Solutions (CLAUI) course, the following minimum prerequisites are recommended:


  • Basic understanding of networking concepts, including LANs, WANs, switching, and routing.
  • Familiarity with Cisco collaboration solutions and components such as Cisco Unified Communications Manager (CUCM), Cisco Collaboration Endpoints, and Webex Teams.
  • Knowledge of fundamental programming concepts and experience in writing code in Python or similar programming languages.
  • Experience with using command-line interfaces (CLI) and basic Linux commands.
  • Understanding of APIs and web services (REST, RPC, SOAP).
  • Familiarity with JSON or XML data structures.
  • Experience with any text editor for writing code, such as Visual Studio Code, Sublime Text, or Atom.
  • Basic knowledge of version control systems, particularly Git, including operations like add, clone, push, commit, and branching.
  • Awareness of the roles and functions of network components such as load balancers, firewalls, DNS, and reverse proxies.

These prerequisites are intended to provide a foundation that will help you grasp the course material effectively. If you have gaps in any of these areas, it may be beneficial to address them prior to beginning the CLAUI course. However, the course is designed to be accessible to individuals with a variety of backgrounds, and supplementary learning resources may be available to assist you in meeting these prerequisites.


Target Audience for Implementing Automation for Cisco Collaboration Solutions (CLAUI)

The "Implementing Automation for Cisco Collaboration Solutions (CLAUI)" course caters to IT professionals aiming to master collaboration automation.


  • Network Engineers
  • Systems Engineers
  • Collaboration Engineers
  • DevOps Engineers
  • IT Project Managers
  • Unified Communications Administrators
  • Network Architects
  • Software Developers with a focus on network programming
  • API Developers working in the Cisco ecosystem
  • Technical Solutions Architects
  • Network Administrators looking to implement automation
  • Collaboration Consultants
  • Professionals preparing for the CLAUI certification exam


Learning Objectives - What you will Learn in this Implementing Automation for Cisco Collaboration Solutions (CLAUI)?

Introduction to the Course's Learning Outcomes and Concepts Covered:

This course equips students with the skills to automate Cisco Collaboration Solutions using API integrations, Python scripting, and application deployment strategies to enhance collaboration technologies.

Learning Objectives and Outcomes:

  • Understand version control operations using git, including branching and resolving merge conflicts.
  • Differentiate between REST, RPC, and SOAP API styles and their use in network programmability.
  • Identify challenges and design patterns for synchronous and asynchronous API consumption.
  • Interpret and write Python scripts with data structures, functions, and control flow for automation tasks.
  • Leverage Python virtual environments for development consistency and dependency management.
  • Describe the role of network infrastructure components in deploying collaboration applications.
  • Automate Cisco Unified Communication Manager (CUCM) configurations using AXL SOAP API and CTI APIs.
  • Utilize Webex Teams REST API for administrative operations, creating spaces, bots, and integrating messaging and video functionalities.
  • Develop automation scripts for Cisco collaboration room devices with xAPI and create custom in-room controls.
  • Manage Webex Meetings through API calls, including user and meeting management, and configure Cisco Meeting Server with REST API.

These objectives aim to provide students with a comprehensive understanding and hands-on experience in automating and optimizing Cisco Collaboration environments.