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JUNIPER MIST AI-DRIVEN NETWORKS

  • Course Code MIST
  • Duration 4 days
  • Version 1.0

Course Delivery

Virtual Learning Price

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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

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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.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

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

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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.
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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

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Course Prerequisites

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