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.

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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.

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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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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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  • +45 32 70 99 90
  • Serverless Architectures with AWS

    Duration
    2 Dage
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørgsel
    The Serverless Architectures with AWS training course teaches you how to build serverless applications on AWS - applications that do not require the developer to provision, scale, or manage any servers. Using an event-driven approach and AWS Lambda as the primary service, the course explains the many benefits of serverless architectures. By the end of the course, you will be ready to create and run your first serverless application that takes advantage of the high availability, security, performance, and scalability of AWS. With this new architecture, you will be able to focus on your product instead of worrying about managing and operating servers to run it.  

    Serverless Architectures with AWS begins with an introduction to the serverless model and helps you get started with AWS. You’ll also get to grips with other capabilities of the AWS Serverless Platform and see how AWS supports enterprise-grade serverless applications with and without Lambda.

    This course will guide you through deploying your first serverless project and exploring the capabilities of serverless Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. You will also learn about AWS Glue, a fully managed extract, transfer, and load (ETL) service that makes categorizing data easy and cost-effective. You’ll study how Amazon Kinesis makes it possible to unleash the potential of real-time data insights and analytics with capabilities such as Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics. Last but not least, you will be equipped to combine Amazon Kinesis capabilities with AWS Lambda to create lightweight serverless architectures.

    After completing this course, you will be able to:

    • Explore AWS services for supporting a serverless environment
    • Set up AWS services to make applications scalable and highly available
    • Deploy a static website with a serverless architecture
    • Build your first serverless web application
    • Study the changes in a deployed serverless web application
    • Apply best practices to ensure overall security, availability, and reliability

    Lesson 1: AWS, Lambda, and Serverless Applications

    • The Serverless Model
    • Introduction to AWS
    • AWS Lambda

    Lesson 2: Working with the AWS Serverless Platform

    • Amazon S3
    • S3 and Lambda Integration
    • API Gateway
    • Other Native Services

    Lesson 3: Building and Deploying a Media Application

    • Designing a Media Web Application “ from Traditional to Serverless
    • Building a Simple Serverless Media Web Application
    • Deployment Options in the Serverless Architecture

    Lesson 4: Serverless Amazon Athena and the AWS Glue Data Catalog

    • Amazon Athena
    • AWS Glue

    Lesson 5: Real-Time Data Insights Using Amazon Kinesis

    • Amazon Kinesis
    • Amazon Kinesis Data Streams
    • Amazon Kinesis Firehose
    • Amazon Kinesis Data Analytics

    Serverless Architectures with AWS is for you if you want to develop serverless applications and have some prior coding experience. Though no prior experience of AWS is needed, basic knowledge of Java or Node.js will be an added advantage.

    Hardware:

    For the optimal student experience, we recommend the following hardware configuration:

    • Processor: i5 or equivalent
    • Memory: 4GB RAM
    • Hard disk: 35 GB available space

     

    Software:

    • Operating System: Windows 7 or above
    • AWS Free Tier account
    • Network access on ports 22 and 80
    The Serverless Architectures with AWS training course teaches you how to build serverless applications on AWS - applications that do not require the developer to provision, scale, or manage any servers. Using an event-driven approach and AWS Lambda as the primary service, the course explains the many benefits of serverless architectures. By the end of the course, you will be ready to create and run your first serverless application that takes advantage of the high availability, security, performance, and scalability of AWS. With this new architecture, you will be able to focus on your product instead of worrying about managing and operating servers to run it.  

    Serverless Architectures with AWS begins with an introduction to the serverless model and helps you get started with AWS. You’ll also get to grips with other capabilities of the AWS Serverless Platform and see how AWS supports enterprise-grade serverless applications with and without Lambda.

    This course will guide you through deploying your first serverless project and exploring the capabilities of serverless Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. You will also learn about AWS Glue, a fully managed extract, transfer, and load (ETL) service that makes categorizing data easy and cost-effective. You’ll study how Amazon Kinesis makes it possible to unleash the potential of real-time data insights and analytics with capabilities such as Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics. Last but not least, you will be equipped to combine Amazon Kinesis capabilities with AWS Lambda to create lightweight serverless architectures.

    After completing this course, you will be able to:

    • Explore AWS services for supporting a serverless environment
    • Set up AWS services to make applications scalable and highly available
    • Deploy a static website with a serverless architecture
    • Build your first serverless web application
    • Study the changes in a deployed serverless web application
    • Apply best practices to ensure overall security, availability, and reliability

    Lesson 1: AWS, Lambda, and Serverless Applications

    • The Serverless Model
    • Introduction to AWS
    • AWS Lambda

    Lesson 2: Working with the AWS Serverless Platform

    • Amazon S3
    • S3 and Lambda Integration
    • API Gateway
    • Other Native Services

    Lesson 3: Building and Deploying a Media Application

    • Designing a Media Web Application “ from Traditional to Serverless
    • Building a Simple Serverless Media Web Application
    • Deployment Options in the Serverless Architecture

    Lesson 4: Serverless Amazon Athena and the AWS Glue Data Catalog

    • Amazon Athena
    • AWS Glue

    Lesson 5: Real-Time Data Insights Using Amazon Kinesis

    • Amazon Kinesis
    • Amazon Kinesis Data Streams
    • Amazon Kinesis Firehose
    • Amazon Kinesis Data Analytics

    Serverless Architectures with AWS is for you if you want to develop serverless applications and have some prior coding experience. Though no prior experience of AWS is needed, basic knowledge of Java or Node.js will be an added advantage.

    Hardware:

    For the optimal student experience, we recommend the following hardware configuration:

    • Processor: i5 or equivalent
    • Memory: 4GB RAM
    • Hard disk: 35 GB available space

     

    Software:

    • Operating System: Windows 7 or above
    • AWS Free Tier account
    • Network access on ports 22 and 80
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