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Join the team
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Juniper Mist Campus Fabric - EVPN Multihoming

This learning path covers deployment of the Juniper Mist Campus Fabric using EVPN Multihoming architecture. Users learn how Mist automates fabric provisioning, segmentation, and high-availability access design. Leveraging EVPN-VXLAN overlays and cloud orchestration, this solution simplifies campus operations, improves resiliency, and enables scalable, policy-driven networking across modern enterprise campus environments.
Learning Path
•Fundamentals

Juniper SSR SD-WAN

Juniper's SD-WAN solution offers a unique approach to networking with Secure Vector Routing, transforming the way the edge devices communicate across the WAN. This Learning Path is designed to equip users with the fundamental knowledge to stand up, program, and operate a Juniper SD-WAN Fabric.
Learning Path
•Fundamentals

Juniper SD-Branch

This SD-WAN Learning Path will take the user through the configuration of the Juniper Mist platform. Juniper Mist is an AI-native networking platform using Marvis AI. Next-generation AI abilities allow customers to experience the foundation of a self-driving network. Utilizing data from devices such as APs, switches, and SSRs, Mist optimizes user experience and simplifies operations from client to cloud.
Learning Path
•Fundamentals

Juniper SDN Networking

Juniper SDN and Contrail Networking provide centralized control that allows the ability to configure the network from a central management pane. With a centralized controller, external applications can treat the network as a single entity that provides configuration Application Programming Interfaces (API) to the outside world. An SDN enabled network with the centralized control plane can be much simpler and therefore cheaper. Additionally, SDN enables a much faster spin up of services for enterprises and service providers which can significantly decrease go-to-market time for new applications and architectures. SDN also has the capability to provide analytics for in-depth troubleshooting and real-time monitoring of traffic.

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