Force7 Training
FRCJUN-11Juniper Networks

Introduction to Juniper Mist AI

This three-day instructor-led course introduces students to Juniper Mist AI and the AI-driven networking capabilities that simplify operations, improve user experiences, and automate network management.

Duration · 3 daysVirtual + In-PersonInstructor-Led

Course Description

This three-day instructor-led course introduces students to Juniper Mist AI and the AI-driven networking capabilities that simplify operations, improve user experiences, and automate network management. Participants will learn how to deploy, configure, monitor, and troubleshoot wired, wireless, and WAN environments using the Juniper Mist Cloud platform. The course combines technical instruction with hands-on labs focused on practical administration and operational workflows.

— Be First in Line —

Register Your Interest

We're finalizing the schedule for Introduction to Juniper Mist AI. Add your details below and we'll notify you the moment a session opens for registration — no payment or commitment required.

Audience Profile

This course is intended for:

  • Network Engineers
  • Wireless Engineers
  • Network Administrators
  • IT Operations Personnel
  • Systems Engineers
  • Technical Support Staff

Prerequisites

Before enrolling, you should have:

  • Basic understanding of networking concepts
  • Familiarity with TCP/IP networking
  • Basic knowledge of wireless networking concepts
  • Experience with network administration recommended

— What You'll Learn —

Learning Objectives

In this course, you will learn to:

  • 1Upon completion of this course, students will be able to:
  • 2Understand Juniper Mist AI architecture and capabilities
  • 3Deploy and manage Mist-managed wireless networks
  • 4Configure organizations, sites, and policies
  • 5Utilize Marvis AI for operational insights and troubleshooting
  • 6Monitor user experiences through SLEs and analytics
  • 7Manage wired and wireless environments through the Mist Cloud
  • 8Analyze WAN performance and application visibility
  • 9Troubleshoot network issues using AI-driven tools and workflows
  • 10Apply operational best practices for cloud-managed networking environments.

— Day-by-Day —

Course Outline

Day 1: Juniper Mist AI Fundamentals and Cloud Management

Module 1

Introduction to Juniper Mist AI

  • Overview of AI-driven networking
  • Evolution of network operations
  • Juniper Mist architecture
  • Mist Cloud platform components
  • Benefits of AI and automation
  • Common deployment scenarios

Lab

  • Accessing the Mist Portal
  • Navigating the user interface
  • Reviewing organizational settings

Module 2

Mist Cloud Architecture

  • Cloud-managed networking concepts
  • Mist microservices architecture
  • Data collection and analytics
  • AI engine fundamentals
  • Security and scalability considerations
  • Cloud service availability

Lab

  • Exploring cloud services
  • Reviewing organizational hierarchy
  • Examining network inventory

Module 3

Organization and Site Management

  • Organizations and sites
  • User roles and permissions
  • Site creation and configuration
  • Device inventory management
  • Templates and configuration management
  • Best practices for large deployments

Lab

  • Creating organizations and sites
  • Managing administrator roles
  • Building site templates

Module 4

Access Point Deployment Fundamentals

  • Juniper wireless access point overview
  • AP onboarding process
  • Zero Touch Provisioning (ZTP)
  • Wireless network deployment workflow
  • Device adoption and activation
  • AP operational verification

Lab

  • Claiming access points
  • Deploying devices to a site
  • Verifying cloud connectivity

Module 5

WLAN Configuration Basics

  • Wireless networking review
  • SSID creation
  • Authentication options
  • Encryption methods
  • Guest access design
  • WLAN best practices

Lab

  • Creating wireless networks
  • Configuring authentication policies
  • Validating client connectivity

Day 2: AI Operations, Analytics, and User Experience

Module 6

Marvis AI Assistant

  • Introduction to Marvis
  • Conversational network operations
  • AI-driven troubleshooting
  • Root cause analysis
  • User experience insights
  • Operational efficiency improvements

Lab

  • Using Marvis queries
  • Reviewing AI-generated recommendations
  • Investigating network events

Module 7

User Experience and Service Levels

  • Service Level Expectations (SLEs)
  • User experience monitoring
  • Wireless client analytics
  • Network performance measurements
  • Application visibility
  • Service assurance concepts

Lab

  • Configuring SLE monitoring
  • Reviewing user experience metrics
  • Identifying performance issues

Module 8

Wireless Assurance and Analytics

  • Wireless assurance overview
  • Event correlation
  • Dynamic packet capture
  • Client troubleshooting workflows
  • Coverage analysis
  • Capacity planning

Lab

  • Investigating client connectivity issues
  • Using packet capture tools
  • Analyzing wireless performance trends

Module 9

Network Monitoring and Reporting

  • Dashboard navigation
  • Real-time monitoring
  • Historical reporting
  • Custom reports
  • Alerting and notifications
  • Operational best practices

Lab

  • Creating custom reports
  • Configuring alerts
  • Reviewing network health metrics

Module 10

Automation and Policy Management

  • Policy-driven networking concepts
  • Automation workflows
  • Configuration templates
  • Change management
  • Operational consistency
  • Best practices for automation

Lab

  • Applying templates
  • Automating configuration tasks
  • Validating policy deployment

Day 3: Wired Assurance, WAN Visibility, and Troubleshooting

Module 11

Wired Assurance Fundamentals

  • Introduction to Wired Assurance
  • Juniper EX switch integration
  • Switch onboarding
  • Wired client visibility
  • Port analytics
  • Switch management workflows

Lab

  • Adding switches to Mist
  • Monitoring wired clients
  • Reviewing switch analytics

Module 12

WAN Assurance Overview

  • WAN visibility concepts
  • Application monitoring
  • Network path analysis
  • Performance metrics
  • WAN troubleshooting workflows
  • User experience optimization

Lab

  • Reviewing WAN performance data
  • Analyzing application traffic
  • Identifying WAN bottlenecks

Module 13

Security and Access Control

  • Network security fundamentals
  • Authentication services
  • Network access control concepts
  • Role-based access policies
  • Secure guest access
  • Security best practices

Lab

  • Configuring access policies
  • Testing authentication workflows
  • Verifying policy enforcement

Module 14

Troubleshooting with Mist AI

  • Structured troubleshooting methodology
  • Wireless connectivity issues
  • Wired client issues
  • Device onboarding problems
  • Application performance analysis
  • Leveraging AI recommendations

Lab

  • Troubleshooting client connectivity scenarios
  • Resolving onboarding issues
  • Using analytics for root cause analysis

Module 15

Operational Best Practices and Deployment Planning

  • Mist deployment lifecycle
  • Scaling cloud-managed networks
  • High availability considerations
  • Operational workflows
  • Maintenance strategies
  • Deployment best practices

Lab

  • Designing a sample Mist deployment
  • Reviewing deployment requirements
  • Presenting operational recommendations

The Big Picture

Key Takeaways

  • Review of Mist AI architecture
  • AI-driven operations and automation
  • Wireless, wired, and WAN assurance capabilities
  • Marvis AI troubleshooting workflows
  • Operational best practices

— Additional Details —

What else is included

Hands-On Activities Included

  • Mist Portal navigation
  • Site and organization creation
  • Access point onboarding
  • WLAN deployment
  • Marvis AI operations
  • SLE monitoring
  • Wireless analytics and troubleshooting
  • Wired Assurance configuration
  • WAN visibility analysis
  • Policy and automation management
  • End-to-end troubleshooting exercises

Note: Course outlines are provided as a general guide. Content, pacing, labs, and instructional emphasis may vary based on instructor expertise, student experience levels, and customer-specific learning objectives.

— Keep Exploring —

Need a different angle?

Browse the full Juniper Networks catalog or chat with an advisor about a custom training plan for your team.