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JUNIPER MIST AI-DRIVEN NETWORKS

  • Course Code MIST
  • Duration 4 days
  • Version 1.0

Course Delivery

Public Classroom Price

$3,797.00

excl. VAT

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Course Delivery

This course is available in the following formats:

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

Request this course in a different delivery format.

Course Overview

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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.

Course Schedule

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Target Audience

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Individuals working with enterprise wireless networks and applying artificial intelligence to their activities

Course Objectives

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  • 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.

Course Content

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DAY 1

1 Course Introduction

2 Wi-Fi Basics

  • What is Wi-Fi?
  • 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

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 Troublehshooting

LAB 2: Initial Setup

LAB 3: Remote Site

4 WLANs

  • WLAN Concepts
  • Security Concepts
  • Mist WLANs
  • Policy (WxLAN)
  • Wireless Intrusion Detection and Prevention

LAB 4: WLANs

LAB 5: Multiple PSK

DAY 3

5 Network Operations

  • Wireless Assurance
  • Events and Insights
  • Radio Resources Management (RRM)
  • Wired Assurance

LAB 6: SLE Troubleshooting

6 AI and Marvis

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

LAB 7: Marvis

DAY 4

7 Location-Based Services

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

8 Automation and Scripting Overview

  • Mist API Overview
  • Automation and Scripting Overview

LAB 8: RESTful API

LAB 9: WebSocket API

Course Prerequisites

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