Course Overview
This three-day course explores both the available resource-based Mist AI data and real-time event-based Mist AI data. The class looks at how the data can be accessed and searched through the Mist UI via Marvis. The class also explores automation and integration using the Mist APIs. Through demonstrations and hands-on labs, students will gain experience with features of Mist AIOps.
Who should attend
Individuals responsible for accessing and using Mist AI data for business intelligent operation
Prerequisites
- Basic networking (wired and wireless) knowledge
- Understanding of the Open Systems
- Interconnection (OSI) reference model and the TCP/IP protocol suite
- Basic scripting knowledge; Python knowledge recommended
- Completion of the Juniper Mist AI Networks (MIST) course, or equivalent experience
Course Objectives
After successfully completing this course, you should be able to:
- Describe the data available in the Mist Cloud
- Describe Marvis components and operations
- Leverage Marvis to access Mist AI data
- Explain the built-in integration options
- Describe Mist RESTful API features and limitations
- Describe Mist WebSockets API features and limitations
- Describe Mist Webhook API features and limitations
- Perform Mist AI Operations using Postman
- Perform Mist AI Operations using Node-RED
- Explore Mist API using Python
- Perform advanced Mist AI automation using Python
- Describe 802.1X Authentication and operations
- Perform RADIUS server integration and role-based policy configuration