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

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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.

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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.

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Extreme træning

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

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Tekniske certificeringer

Vi leverer omfattende læseplan for tekniske kompetencefærdigheder på certificeringspræstationen.

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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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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.

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

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  • +45 32 70 99 90
  • Microsoft Azure AI Fundamentals (AI-900T00-A)

    Duration
    1 Dag
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørgsel

    This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.

     

    The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

     

    Associated Certification:

    • Microsoft Certified: Azure AI Fundamentals

     

    • Describe Artificial Intelligence workloads and considerations
    • Describe fundamental principles of machine learning on Azure
    • Describe features of computer vision workloads on Azure
    • Describe features of Natural Language Processing (NLP) workloads on Azure
    • Describe features of conversational AI workloads on Azure

    Module 1: Introduction to AI

    In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.

     

    Lesson

    • Artificial Intelligence in Azure
    • Responsible AI

    After completing this module, students will be able to:

    • Describe Artificial Intelligence workloads and considerations

     

    Module 2: Machine Learning

    Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

     

    Lesson

    • Introduction to Machine Learning
    • Azure Machine Learning

    After completing this module, students will be able to:

    • Describe fundamental principles of machine learning on Azure

     

    Module 3: Computer Vision

    Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.

     

    Lesson

    • Computer Vision Concepts
    • Computer Vision in Azure

    After completing this module, students will be able to:

    • Describe features of computer vision workloads on Azure

     

    Module 4: Natural Language Processing

    This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

     

    After completing this module, students will be able to:

    • Describe features of Natural Language Processing (NLP) workloads on Azure

     

    Module 5: Conversational AI

    Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.

     

    Lesson

    • Conversational AI Concepts
    • Conversational AI in Azure

    After completing this module, students will be able to:

    • Describe features of conversational AI workloads on Azure

    The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

    Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. 

     

    Specifically: 

    • Experience using computers and the internet.
    • Interest in use cases for AI applications and machine learning models. 
    • A willingness to learn through hands-on exploration.

    This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.

     

    The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

     

    Associated Certification:

    • Microsoft Certified: Azure AI Fundamentals

     

    • Describe Artificial Intelligence workloads and considerations
    • Describe fundamental principles of machine learning on Azure
    • Describe features of computer vision workloads on Azure
    • Describe features of Natural Language Processing (NLP) workloads on Azure
    • Describe features of conversational AI workloads on Azure

    Module 1: Introduction to AI

    In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.

     

    Lesson

    • Artificial Intelligence in Azure
    • Responsible AI

    After completing this module, students will be able to:

    • Describe Artificial Intelligence workloads and considerations

     

    Module 2: Machine Learning

    Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

     

    Lesson

    • Introduction to Machine Learning
    • Azure Machine Learning

    After completing this module, students will be able to:

    • Describe fundamental principles of machine learning on Azure

     

    Module 3: Computer Vision

    Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.

     

    Lesson

    • Computer Vision Concepts
    • Computer Vision in Azure

    After completing this module, students will be able to:

    • Describe features of computer vision workloads on Azure

     

    Module 4: Natural Language Processing

    This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

     

    After completing this module, students will be able to:

    • Describe features of Natural Language Processing (NLP) workloads on Azure

     

    Module 5: Conversational AI

    Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.

     

    Lesson

    • Conversational AI Concepts
    • Conversational AI in Azure

    After completing this module, students will be able to:

    • Describe features of conversational AI workloads on Azure

    The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

    Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. 

     

    Specifically: 

    • Experience using computers and the internet.
    • Interest in use cases for AI applications and machine learning models. 
    • A willingness to learn through hands-on exploration.
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