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.

Prerequisites

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.

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