insoft

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.

Dettagli

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.

Dettagli

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

Dettagli

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
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    • Designing and Implementing a Data Science Solution on Azure (DP-100T01-A)

    Enroll Now
    Duration
    4 Giorni
    Delivery
    (Online e in loco)
    Price
    Prezzo su richiesta

    Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

     

    This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

     

    Associated Certification:

    • Microsoft Certified: Azure Data Scientist Associate
    • Design a data ingestion strategy for machine learning projects
    • Design a machine learning model training solution
    • Design a model deployment solution
    • Explore Azure Machine Learning workspace resources and assets
    • Explore developer tools for workspace interaction
    • Make data available in Azure Machine Learning
    • Work with compute targets in Azure Machine Learning
    • Work with environments in Azure Machine Learning
    • Find the best classification model with Automated Machine Learning
    • Track model training in Jupyter notebooks with MLflow
    • Run a training script as a command job in Azure Machine Learning
    • Track model training with MLflow in jobs
    • Run pipelines in Azure Machine Learning
    • Perform hyperparameter tuning with Azure Machine Learning
    • Deploy a model to a managed online endpoint
    • Deploy a model to a batch endpoint

    This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

    Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.

     

    Specifically:

    • Creating cloud resources in Microsoft Azure.
    • Using Python to explore and visualize data.
    • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
    • Working with containersTo gain these prerequisite skills, take the following free online training before attending the course:
    • Explore Microsoft cloud concepts.
    • Create machine learning models.
    • Administer containers in AzureIf you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals first.
    Overview

    Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

     

    This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

     

    Associated Certification:

    • Microsoft Certified: Azure Data Scientist Associate
    • Design a data ingestion strategy for machine learning projects
    • Design a machine learning model training solution
    • Design a model deployment solution
    • Explore Azure Machine Learning workspace resources and assets
    • Explore developer tools for workspace interaction
    • Make data available in Azure Machine Learning
    • Work with compute targets in Azure Machine Learning
    • Work with environments in Azure Machine Learning
    • Find the best classification model with Automated Machine Learning
    • Track model training in Jupyter notebooks with MLflow
    • Run a training script as a command job in Azure Machine Learning
    • Track model training with MLflow in jobs
    • Run pipelines in Azure Machine Learning
    • Perform hyperparameter tuning with Azure Machine Learning
    • Deploy a model to a managed online endpoint
    • Deploy a model to a batch endpoint

    This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

    Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.

     

    Specifically:

    • Creating cloud resources in Microsoft Azure.
    • Using Python to explore and visualize data.
    • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
    • Working with containersTo gain these prerequisite skills, take the following free online training before attending the course:
    • Explore Microsoft cloud concepts.
    • Create machine learning models.
    • Administer containers in AzureIf you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals first.
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