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Cisco træning

Insoft Services er en af de få uddannelsesudbydere i EMEAR, der tilbyder hele spektret af Cisco-certificering og specialiseret teknologiuddannelse.

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Cisco-certificeringer

Oplev en blandet læringsmetode, der kombinerer det bedste fra instruktørstyret træning og e-læring i eget tempo for at hjælpe dig med at forberede dig til din certificeringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLCs) er forudbetalte træningskuponer, der indløses direkte med Cisco, og som gør det nemmere at planlægge din succes, når du køber Cisco-produkter og -tjenester.

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Cisco Efteruddannelse

Cisco Continuing Education Program tilbyder alle aktive certificeringsindehavere fleksible muligheder for at gencertificere ved at gennemføre en række kvalificerede træningselementer.

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Cisco Digital Learning

Certificerede medarbejdere er VÆRDSATTE aktiver. Udforsk Ciscos officielle digitale læringsbibliotek for at uddanne dig selv gennem optagede sessioner.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på at skærpe Cisco Channel Partners og kunders forretningsmæssige færdigheder.

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Cisco kursuskatalog

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Fortinet-certificeringer

Fortinet Network Security Expert (NSE) -programmet er et otte-niveau uddannelses- og certificeringsprogram for at undervise ingeniører i deres netværkssikkerhed for Fortinet FW-færdigheder og erfaring.

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Fortinet træning

Insoft er anerkendt som Autoriseret Fortinet Training Center på udvalgte steder på tværs af EMEA.

Tekniske kurser

Fortinet kursuskatalog

Udforsk hele Fortinet-træningskataloget. Programmet omfatter en bred vifte af selvstændige og instruktørledede kurser.

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ATC-status

Tjek vores ATC-status på tværs af udvalgte lande i Europa.

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Fortinet Professionelle Services

Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

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Microsoft træning

Insoft Services tilbyder Microsoft-undervisning i EMEAR. Vi tilbyder Microsoft tekniske kurser og certificeringskurser, der ledes af instruktører i verdensklasse.

Tekniske kurser

Extreme træning

Find all the Extreme Networks online and instructor led class room based calendar here.

Tekniske kurser

Tekniske certificeringer

Vi leverer omfattende læseplan for tekniske kompetencefærdigheder på certificeringspræstationen.

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Extreme kursuskatalog

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ATP-akkreditering

Som autoriseret uddannelsespartner (ATP) sikrer Insoft Services, at du får de højeste uddannelsesstandarder, der findes.

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Løsninger og tjenester

Vi leverer innovativ og avanceret support til design, implementering og optimering af IT-løsninger. Vores kundebase omfatter nogle af de største Telcos globalt.

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Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

Om os

Insoft tilbyder autoriseret uddannelses- og konsulentbistand til udvalgte IP-leverandører. Få mere at vide om, hvordan vi revolutionerer branchen.

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

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    Duration
    4 Dage
    Delivery
    (Online Og På stedet)
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    Pris på forespørgsel

    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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