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