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MIST – Juniper Mist AI-Driven Networks


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Upcoming Courses

Jan 18 - Jan 21, 2021
09:00 - 17:00 (CEST)

Apr 26 - Apr 29, 2021
09:00 - 17:00 (CEST)

Jul 27 - Jul 30, 2021
09:00 - 17:00 (CEST)

Oct 19 - Oct 22, 2021
09:00 - 17:00 (CEST)

MIST – Juniper Mist AI-Driven Networks
4 days  (Instructor Led Online)  |  Networking

Course Details

This four-day course is designed to provide students with the knowledge required to work with enterprise wireless technologies and Mist AI-driven Wi-Fi networks. Students will gain in-depth knowledge of Wi-Fi technologies, Mist technologies, and how to use and configure them. Through demonstrations and hands-on labs, students will gain experience with the features and functionality of Mist AI-driven Wi-Fi.


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

  • Describe WLAN association and roaming.
  • Explain the wireless LAN life cycle.
  • Explain and configure Mist architecture.
  • Describe a wireless enterprise network.
  • Explain the purpose of Mist and key differentiators.
  • Describe wireless fundamentals.
  • Describe the basic features Mist.
  • Describe how to add new organizations and sites.
  • Navigate the Mist portal.
  • Describe the Mist AP deployment model.
  • Provide an overview of the Mist onboarding workflow.
  • Implement RF and configuration templates.
  • Configure wireless access policies.
  • Describe the EX Series switch deployment model.
  • Describe the workflow for onboarding an EX Series switch to a Wired Assurance deployment.
  • Describe labels and their use with Mist.
  • Use Mist intelligent analytics and Marvis.
  • Describe Real Time Location Sensor (RTLS) concepts and methods.
  • Describe Mist automation and scripting.
  • Instantiate a standalone NGFW site using CSO and SRX Series devices.
  • Describe Service Level Experience and its place in wireless networks.
  • Describe the client location service and use cases.
  • Describe the components of an enterprise WLAN.
  • Configure an enterprise grade WLAN.
  • Describe a sitemap, site survey, and their critical components.
  • Describe the subscriptions available for Mist.
  • Describe the monitoring features.
  • Generate reports.


Day 1

Chapter 1: Course Introduction

Chapter 2: WiFi Basics

  • What Is Wi-Fi?
  • 802.11 PHYs
  • Frequency Bands
  • RF Basics
  • Modulation and Coding
  • Network Arbitration and Contention
  • WLAN Architectures
  • WLAN Association and Roaming
  • Network Contention
  • Wireless LAN Life Cycle
  • LAB 1: WLAN Testing


Day 2

Chapter 3: Mist Architecture and Initial Setup

  • Mist Architecture
  • Mist Account Organizations and Subscriptions
  • Configuration Objects
  • Organization Objects Versus Site Objects
  • Access Points Overview, Configuration, and Troubleshooting
  • LAB 2: Initial Setup
  • LAB 3: Remote Site


Chapter 4: WLANs

  • WLAN Concepts
  • Security Concepts
  • Mist WLANs
  • Policy (WxLAN)
  • Wireless Intrusion Detection and Prevention
  • LAB 4: WLANs
  • LAB 5: Multiple PSK



Day 3

Chapter 5: RTLS

  • Wireless Assurance
  • Events and Insights
  • Radio Resources Management (RRM)
  • Wired Assurance
  • LAB 6: SLE Troubleshooting


Chapter 6: AI and Marvis

  • Artificial Intelligence (AI) Reactive and Proactive Troubleshooting
  • Reactive and Proactive Troubleshooting
  • Marvis Language and Actions
  • LAB 7: Marvis



Day 4

Chapter 7: Real Time Location Sensor (RTLS)

  • Concepts and Methods
  • Wi-Fi Location
  • Virtual BLE
  • User Engagement
  • Asset Visibility


Chapter 8: Automation and Scripting Overview

  • Mist API Overview
  • Automation and Scripting Overview
  • LAB 8: RESTful API
  • LAB 9: WebSocket API

Target Audience

This course benefits individuals responsible for working with enterprise wireless networks and applying artificial intelligence to their activities.


The following are the prerequisites for this course:

  • Basic TCP/IP skills
  • Basic knowledge of wireless (Wi-Fi) technologies is recommended.