Juniper Mist AI Networks (MIST)

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.


Who should attend

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.


Course Objectives

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.
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Course Content

Day 1

  • Chapter 1: Course Introduction
  • Chapter 2: Introduction to Wi-Fi 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

Day 3

  • Chapter 5: Network Operations
    • Wireless Assurance
    • Events and Insights
    • Radio Resources Management (RRM)
    • Wired Assurance
    • LAB 5: SLE Troubleshooting
  • Module 6: Wired Assurance
    • Solution and Supported Devices
    • Provisioning and Deployment
    • Operation
    • Design and Architecture
    • LAB 6: Wired Assurance
  • Module 7: 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: Location-Based Services
    • Concepts and Methods
    • Wi-Fi Location
    • Virtual BLE
    • User Engagement
    • Asset Visibility
  • Chapter 8: Automation and Scripting
    • Mist API Overview
    • Automation and Scripting Overview
    • LAB 8: RESTful API
    • LAB 9: WebSocket API