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.

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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.

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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.

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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.

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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.

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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.

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  • +39 02 8704 5199
  • Serverless Architectures with AWS

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

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