Formazione Cisco

Insoft Services è uno dei pochi fornitori di formazione in EMEAR a offrire una gamma completa di certificazione Cisco e formazione tecnologica specializzata.

Dettagli

Certificazioni Cisco

Sperimenta un approccio di apprendimento misto che combina il meglio della formazione con istruttore e dell'e-learning autogestito per aiutarti a prepararti per l'esame di certificazione.

Dettagli

Cisco Learning Credits

I Cisco Learning Credits (CLC) sono voucher di formazione prepagati riscattati direttamente con Cisco che semplificano la pianificazione del successo durante l'acquisto di prodotti e servizi Cisco.

Dettagli

Formazione Continua

The Cisco Continuing Education Program offers all active certification holders flexible options to recertify by completing a variety of eligible training items.

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Cisco Digital Learning

Certified employees are VALUED assets. Explore Cisco official Digital Learning Library to educate yourself through recorded sessions.

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Cisco Business Enablement

The Cisco Business Enablement Partner Program focuses on sharpening the business skills of Cisco Channel Partners and customers.

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Catalogo Cisco

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Certificazioni Fortinet

Il programma Fortinet Network Security Expert (NSE) è un programma di formazione e certificazione di otto livelli per insegnare agli ingegneri la sicurezza della loro rete per le competenze e l'esperienza di Fortinet FW.

Dettagli

Corsi di formazione tecnica

Insoft è riconosciuto come Fortinet Authorized Training Center in sedi selezionate in tutta l'EMEA.

Corsi tecnici

Catalogo Fortinet

Esplora un'ampia varietà di programmi Fortinet in diversi paesi e corsi online.

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Stato ATC

Controlla il nostro stato ATC in tutti i paesi selezionati in Europa.

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Fortinet Servizi Professionale

Il team riconosciuto a livello globale di esperti certificati ti aiuta a fare una transizione più fluida con i nostri pacchetti di consulenza, installazione e migrazione predefiniti per una vasta gamma di prodotti Fortinet.

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Catalogo Microsoft

Insoft Services fornisce formazione Microsoft in EMEAR. Offriamo corsi di formazione tecnica e certificazione Microsoft guidati da istruttori di livello mondiale.

Corsi tecnici

Corsi di formazione

Impara conoscenze e abilità eccezionali di Extreme Networks.Find all the Extreme Networks online and instructor led class room based calendar here.

Corsi tecnici

Certificazioni Extreme

Forniamo un curriculum completo di competenze tecniche sul conseguimento della certificazione.

Dettagli

Catalogo Extreme

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Accreditamento ATP

In qualità di partner di formazione autorizzato (ATP), Insoft Services garantisce che tu riceva i più alti standard di istruzione disponibili.

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Pacchetti di consulenza

Forniamo un supporto innovativo e avanzato per la progettazione, l'implementazione e l'ottimizzazione delle soluzioni IT.La nostra base di clienti comprende alcune delle più grandi telco a livello globale.

Soluzioni & Servizi

Il team riconosciuto a livello globale di esperti certificati ti aiuta a fare una transizione più fluida con i nostri pacchetti di consulenza, installazione e migrazione predefiniti per una vasta gamma di prodotti Fortinet.

Chi siamo

Insoft fornisce servizi di formazione e consulenza autorizzati per fornitori IP selezionati.Scopri come stiamo rivoluzionando il settore.

Dettagli
  • +39 02 8704 5199
  • JMA – Juniper Mist AIOps

    Duration
    3 Giorni
    Delivery
    (Online e in loco)
    Price
    Prezzo su richiesta

    This three-day course explores both the available resource-based Juniper Driven by Mist AI™ data and real-time event-based Mist AI™ data. The class examines how the data can be accessed and searched through the Mist UI through Marvis® Virtual Network Assistant. The class also explores automation and integration using the Juniper Mist™ APIs. Through demonstrations and hands-on labs, students will gain experience with features of Juniper Mist AI.

    After successfully completing this course, you should be able to:

    • Describe the data available in the Juniper Mist™ cloud.
    • Describe the components and operations of Marvis.
    • Use Marvis to access Juniper Mist AI data.
    • Explain the built-in integration options.
    • Describe the features and limitations of Juniper Mist RESTful API.
    • Describe the features and limitations of Juniper Mist WebSocket API.
    • Describe the features and limitations of Juniper Mist Webhook API.
    • Perform Juniper Mist AI operations using Postman.
    • Perform Juniper Mist AI operations using Node-RED.
    • Describe Juniper Mist API using Python.
    • Perform advanced Juniper Mist AI automation using Python.
    • Describe 802.1X authentication and operations.
    • Perform RADIUS server integration and role-based policy configuration.

    DAY 1

    1. Course Introduction

     

    2. What Is AIOps?

    • Define AI and ML terminology
    • Define AIOps
    • Explain the goals of AIOps
    • Discuss the importance of data
    • Explain Mist Cloud components

     

    3. Mist AI Data

    • Describe Access Point (AP) Data
    • Describe LLDP Data
    • Describe Switch Data
    • Describe Config Data—JSON
    • Describe Event Data
    • Describe Insight Data
    • Describe Client Stats
    • Describe AP Stats

     

    4. RESTful API

    • Define RESTful API
    • Describe how to build RESTful API requests
    • Describe features available using the RESTful API
    • Describe the limitations of the Mist RESTful API

     

    5. Postman

    • Define Postman
    • Explain how Postman interacts with the Mist API
    • Describe how to use Postman to automate tasks
    • Set up your own Postman’s environment
    • Use the Juniper Mist Collection within your own Postman’s environment

     

    Lab 1: Automating Mist AI Operations using Postman

     

    Lab 2: Mist Runner Collection

     

    DAY 2

    6. Marvis

    • Describe Marvis natural language queries
    • Describe Marvis query language queries
    • Describe the Marvis Conversational Interface
    • Explain Marvis Actions

     

    7. Marvis Data

    • Describe Marvis Client and Roaming data
    • Describe how to access and query Mist data
    • Explain how Marvis uses Mist data

     

    8. Mist WebSocket API

    • Define Webhook API
    • Describe how to use the Mist Webhook API
    • Describe the set of features available via the Webhook API used by Mist
    • Describe the limitations of the Mist Webhook API

     

    9. Webhook API

    • Define Webhook API
    • Describe how to use the Mist Webhook API
    • Describe the set of features available via the Webhook API used by Mist
    • Describe the limitations of the Mist Webhook API

     

    10. Node-RED

    • Define Node-RED
    • Describe how to use Node-RED to interact with the Mist API
    • Describe how to use Node-RED and the Mist API to solve use cases
    • Use Node-RED in the lab to interact with the Mist API

     

    11. Python and Mist API

    • Define Python
    • Explain why we use Python to perform network automation
    • Describe how to interact with the Mist API using Python
    • Build Python scripts to interact with the Mist APIs

     

    Lab 3: Mist Operations Using Python

    DAY 3

    12. Built-In Integration

    • Explain how to leverage Python to perform automation
    • Describe what type of automation is possible with Python
    • Review automation use cases and examples
    • Build Python scripts to interact with the Mist APIs

     

    Lab 4: Python Automation

     

    13. Python Automation

    • Explain Ekahau and iBwave Import
    • Explain CloudShark integration
    • Describe how to integrate external captive portals

     

    Demo: Building In Integration

     

    14. 802.1X Authentication

    • List the components of AAA
    • Explain 802.1X operations
    • Describe EAP operations
    • Explain the different EAP types and how they differ
    • Describe the RADIUS protocol and server
    • Describe RADIUS attributes and how they are used

     

    15. RADIUS Integration

    • Explain how to integrate a third-party RADIUS server into Mist
    • Explore the steps required to integrate ClearPass with Mist
    • Describe how to map RADIUS attributes to Mist labels
    • Explain how to use RADIUS attribute labels in WxLAN policies
    • Explain how SMAL can be used to integrate thirdparty identity providers for administrator logins

    Individuals responsible for accessing and using Mist AI data for business intelligent operation

    • Basic networking (wired and wireless) knowledge
    • Understanding of the Open Systems Interconnection (OSI) reference model and the TCP/IP protocol suite
    • Basic scripting knowledge; Python knowledge recommended
    • Completion of the Juniper Mist AI Networks course and Introduction to Juniper Mist AI course, or equivalent experience

    This three-day course explores both the available resource-based Juniper Driven by Mist AI™ data and real-time event-based Mist AI™ data. The class examines how the data can be accessed and searched through the Mist UI through Marvis® Virtual Network Assistant. The class also explores automation and integration using the Juniper Mist™ APIs. Through demonstrations and hands-on labs, students will gain experience with features of Juniper Mist AI.

    After successfully completing this course, you should be able to:

    • Describe the data available in the Juniper Mist™ cloud.
    • Describe the components and operations of Marvis.
    • Use Marvis to access Juniper Mist AI data.
    • Explain the built-in integration options.
    • Describe the features and limitations of Juniper Mist RESTful API.
    • Describe the features and limitations of Juniper Mist WebSocket API.
    • Describe the features and limitations of Juniper Mist Webhook API.
    • Perform Juniper Mist AI operations using Postman.
    • Perform Juniper Mist AI operations using Node-RED.
    • Describe Juniper Mist API using Python.
    • Perform advanced Juniper Mist AI automation using Python.
    • Describe 802.1X authentication and operations.
    • Perform RADIUS server integration and role-based policy configuration.

    DAY 1

    1. Course Introduction

     

    2. What Is AIOps?

    • Define AI and ML terminology
    • Define AIOps
    • Explain the goals of AIOps
    • Discuss the importance of data
    • Explain Mist Cloud components

     

    3. Mist AI Data

    • Describe Access Point (AP) Data
    • Describe LLDP Data
    • Describe Switch Data
    • Describe Config Data—JSON
    • Describe Event Data
    • Describe Insight Data
    • Describe Client Stats
    • Describe AP Stats

     

    4. RESTful API

    • Define RESTful API
    • Describe how to build RESTful API requests
    • Describe features available using the RESTful API
    • Describe the limitations of the Mist RESTful API

     

    5. Postman

    • Define Postman
    • Explain how Postman interacts with the Mist API
    • Describe how to use Postman to automate tasks
    • Set up your own Postman’s environment
    • Use the Juniper Mist Collection within your own Postman’s environment

     

    Lab 1: Automating Mist AI Operations using Postman

     

    Lab 2: Mist Runner Collection

     

    DAY 2

    6. Marvis

    • Describe Marvis natural language queries
    • Describe Marvis query language queries
    • Describe the Marvis Conversational Interface
    • Explain Marvis Actions

     

    7. Marvis Data

    • Describe Marvis Client and Roaming data
    • Describe how to access and query Mist data
    • Explain how Marvis uses Mist data

     

    8. Mist WebSocket API

    • Define Webhook API
    • Describe how to use the Mist Webhook API
    • Describe the set of features available via the Webhook API used by Mist
    • Describe the limitations of the Mist Webhook API

     

    9. Webhook API

    • Define Webhook API
    • Describe how to use the Mist Webhook API
    • Describe the set of features available via the Webhook API used by Mist
    • Describe the limitations of the Mist Webhook API

     

    10. Node-RED

    • Define Node-RED
    • Describe how to use Node-RED to interact with the Mist API
    • Describe how to use Node-RED and the Mist API to solve use cases
    • Use Node-RED in the lab to interact with the Mist API

     

    11. Python and Mist API

    • Define Python
    • Explain why we use Python to perform network automation
    • Describe how to interact with the Mist API using Python
    • Build Python scripts to interact with the Mist APIs

     

    Lab 3: Mist Operations Using Python

    DAY 3

    12. Built-In Integration

    • Explain how to leverage Python to perform automation
    • Describe what type of automation is possible with Python
    • Review automation use cases and examples
    • Build Python scripts to interact with the Mist APIs

     

    Lab 4: Python Automation

     

    13. Python Automation

    • Explain Ekahau and iBwave Import
    • Explain CloudShark integration
    • Describe how to integrate external captive portals

     

    Demo: Building In Integration

     

    14. 802.1X Authentication

    • List the components of AAA
    • Explain 802.1X operations
    • Describe EAP operations
    • Explain the different EAP types and how they differ
    • Describe the RADIUS protocol and server
    • Describe RADIUS attributes and how they are used

     

    15. RADIUS Integration

    • Explain how to integrate a third-party RADIUS server into Mist
    • Explore the steps required to integrate ClearPass with Mist
    • Describe how to map RADIUS attributes to Mist labels
    • Explain how to use RADIUS attribute labels in WxLAN policies
    • Explain how SMAL can be used to integrate thirdparty identity providers for administrator logins

    Individuals responsible for accessing and using Mist AI data for business intelligent operation

    • Basic networking (wired and wireless) knowledge
    • Understanding of the Open Systems Interconnection (OSI) reference model and the TCP/IP protocol suite
    • Basic scripting knowledge; Python knowledge recommended
    • Completion of the Juniper Mist AI Networks course and Introduction to Juniper Mist AI course, or equivalent experience
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