This three-day course explores both the available resource-based Juniper Driven by Mist AI™ data and real-time event-based Mist AI™ data. The class examines how the data can be accessed and searched through the Mist UI through Marvis® Virtual Network Assistant. The class also explores automation and integration using the Juniper Mist™ APIs. Through demonstrations and hands-on labs, students will gain experience with features of Juniper Mist AI.

After successfully completing this course, you should be able to:

• Describe the data available in the Juniper Mist™ cloud.
• Describe the components and operations of Marvis.
• Use Marvis to access Juniper Mist AI data.
• Explain the built-in integration options.
• Describe the features and limitations of Juniper Mist RESTful API.
• Describe the features and limitations of Juniper Mist WebSocket API.
• Describe the features and limitations of Juniper Mist Webhook API.
• Perform Juniper Mist AI operations using Postman.
• Perform Juniper Mist AI operations using Node-RED.
• Describe Juniper Mist API using Python.
• Perform advanced Juniper Mist AI automation using Python.
• Describe 802.1X authentication and operations.
• Perform RADIUS server integration and role-based policy configuration.

DAY 1

1. Course Introduction

2. What Is AIOps?

• Define AI and ML terminology
• Define AIOps
• Explain the goals of AIOps
• Discuss the importance of data
• Explain Mist Cloud components

3. Mist AI Data

• Describe Access Point (AP) Data
• Describe LLDP Data
• Describe Switch Data
• Describe Config Data—JSON
• Describe Event Data
• Describe Insight Data
• Describe Client Stats
• Describe AP Stats

4. RESTful API

• Define RESTful API
• Describe how to build RESTful API requests
• Describe features available using the RESTful API
• Describe the limitations of the Mist RESTful API

5. Postman

• • Define Postman
  • Explain how Postman interacts with the Mist API
  • Describe how to use Postman to automate tasks
  • Set up your own Postman’s environment
  • Use the Juniper Mist Collection within your own Postman’s environment

Lab 1: Automating Mist AI Operations using Postman

Lab 2: Mist Runner Collection

DAY 2

6. Marvis

• • • Describe Marvis natural language queries
    • Describe Marvis query language queries
    • Describe the Marvis Conversational Interface
    • Explain Marvis Actions

7. Marvis Data

• • • Describe Marvis Client and Roaming data
    • Describe how to access and query Mist data
    • Explain how Marvis uses Mist data

8. Mist WebSocket API

• • • Define Webhook API
    • Describe how to use the Mist Webhook API
    • Describe the set of features available via the Webhook API used by Mist
    • Describe the limitations of the Mist Webhook API

9. Webhook API

• • • Define Webhook API
    • Describe how to use the Mist Webhook API
    • Describe the set of features available via the Webhook API used by Mist
    • Describe the limitations of the Mist Webhook API

10. Node-RED

• • • Define Node-RED
    • Describe how to use Node-RED to interact with the Mist API
    • Describe how to use Node-RED and the Mist API to solve use cases
    • Use Node-RED in the lab to interact with the Mist API

11. Python and Mist API

• • • Define Python
    • Explain why we use Python to perform network automation
    • Describe how to interact with the Mist API using Python
    • Build Python scripts to interact with the Mist APIs

Lab 3: Mist Operations Using Python

DAY 3

12. Built-In Integration

• • • Explain how to leverage Python to perform automation
    • Describe what type of automation is possible with Python
    • Review automation use cases and examples
    • Build Python scripts to interact with the Mist APIs

Lab 4: Python Automation

13. Python Automation

• • • Explain Ekahau and iBwave Import
    • Explain CloudShark integration
    • Describe how to integrate external captive portals

Demo: Building In Integration

14. 802.1X Authentication

• • • List the components of AAA
    • Explain 802.1X operations
    • Describe EAP operations
    • Explain the different EAP types and how they differ
    • Describe the RADIUS protocol and server
    • Describe RADIUS attributes and how they are used

15. RADIUS Integration

• • Explain how to integrate a third-party RADIUS server into Mist
  • Explore the steps required to integrate ClearPass with Mist
  • Describe how to map RADIUS attributes to Mist labels
  • Explain how to use RADIUS attribute labels in WxLAN policies
  • Explain how SMAL can be used to integrate thirdparty identity providers for administrator logins

Individuals responsible for accessing and using Mist AI data for business intelligent operation

• 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 course and Introduction to Juniper Mist AI course, or equivalent experience