ExtremeCloud IQ – API and Automation – Info Learn Technologies

ExtremeCloud IQ – API and Automation

Course Description

At the end of this course, you will understand API and Automation concepts and be aware of a variety of tools and methods for automating ExtremeCloud IQ deployments. Automation is about turning repetitive jobs into self-proceeding procedures with use of scripts. Besides automating day-to-day tasks, this course is also about automating deployments. All these automations, tasks, workflows, and scripts result in a more efficient and effective way of doing business, but it also reduces human errors for “simple” and recurring tasks. Scripting skills are required to master automation and implement solutions independently, but instruction about custom scripting is limited. All scripts required for the labs are provided.

Course Objectives

Upon completion of this course, students will have gained the working knowledge to:

Learners will be able to define what an API is and how a business can benefit from using APIs and automation.
Identify the four common data manipulation operations which are known under the CRUD abbreviation
Identify different types of APIs, specifically RESTful APIs, GraphQL, SOAP, and Websockets.
Identify the different products from Extreme Networks that offer APIs
Learn about and practice using the most common scripting languages including Visual Programming, Python, JavaScript, and flow-based visual programming.
Identify examples of network configuration and automation by using ExtremeCloud APIs
Use tools to quickly create a dashboard using ExtremeCloud APIs
Identify best practices regarding security

Course Agenda:

API functionality
CRUD operations
REST APIs
Exploring GraphQL
ExtremeCloud Swagger UI
Creating a Private Pre-Shared Key (PPSK)
Scripting language options along with their use cases and strengths including Python Script, JavaScript, and Node-RED
Authorizing against ExtremeCloud IQ
Authentication and authorization with XIQ-SE
Automating a deployment with Python

Dates:

Module	Date	Time	Zone	Duration (Days)
Content	Content	Content	Content	Content