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Insoft Services is een van de weinige aanbieders van opleidingen in EMEAR tot een volledige reeks van Cisco-certificering en gespecialiseerde technische opleiding aan te bieden.

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Cisco-certificering

Ervaar een blended learning-aanpak die het beste van door een instructeur geleide training en e-learning in eigen tempo combineert om u te helpen zich voor te bereiden op uw certificeringsexamen.

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Cisco Learning Credits

Cisco Learning Credits (CLCs) zijn prepaid trainingsvouchers die rechtstreeks bij Cisco worden ingewisseld en die het plannen van uw succes eenvoudiger maken bij de aankoop van Cisco-producten en -services.

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Cisco Continuing Education

Het Cisco Continuing Education Program biedt alle actieve certificeringshouders flexibele opties om opnieuw te certificeren door een verscheidenheid aan in aanmerking komende trainingsitems te voltooien.

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Cisco Digital Learning

Gecertificeerde medewerkers zijn GEWAARDEERDE activa. Verken de officiële Digital Learning Library van Cisco om uzelf te informeren via opgenomen sessies.

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Cisco Business Enablement

Het Cisco Business Enablement Partner Program richt zich op het aanscherpen van de zakelijke vaardigheden van Cisco Channel Partners en klanten.

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Cisco trainingscatalogus

Het Cisco Business Enablement Partner Program richt zich op het aanscherpen van de zakelijke vaardigheden van Cisco Channel Partners en klanten.

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Fortinet-certificering

Het Fortinet Network Security Expert (NSE) -programma is een training- en certificeringsprogramma op acht niveaus om ingenieurs van hun netwerkbeveiliging te leren voor Fortinet FW-vaardigheden en -ervaring.

Technische trainingen

Fortinet-training

Insoft is erkend als Fortinet Authorized Training Center op geselecteerde locaties in EMEA.

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Fortinet trainingscatalogus

Bekijk de volledige Fortinet trainingscatalogus. Het programma omvat een breed scala aan cursussen in eigen tempo en onder leiding van een instructeur.

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ATC Status

Bekijk onze ATC-status in geselecteerde landen in Europa.

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Fortinet Professionele Services

Wereldwijd erkend team van gecertificeerde experts helpt u een soepelere overgang te maken met onze vooraf gedefinieerde consultancy-, installatie- en migratiepakketten voor een breed scala aan Fortinet-producten.

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Microsoft-training

Insoft Services biedt Microsoft-trainingen in EMEAR. We bieden technische trainingen en certificeringscursussen van Microsoft aan die worden geleid door instructeurs van wereldklasse.

Technische cursussen

Extreme-training

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

Technische cursussen

Technische-certificering

We provide comprehensive curriculum of technical competency skills on the certification accomplishment.

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Extreme trainingscatalogus

Leer uitzonderlijke kennis en vaardigheden van Extreme Networks

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ATP accreditatie

Als geautoriseerde trainingspartner (ATP) zorgt Insoft Services ervoor dat u de hoogste onderwijsnormen krijgt die beschikbaar zijn.

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Wij bieden innovatieve en geavanceerde ondersteuning bij het ontwerpen, implementeren en optimaliseren van IT-oplossingen.Ons klantenbestand omvat enkele van de grootste Telco's ter wereld.

Oplossingen

Wereldwijd erkend team van gecertificeerde experts helpt u een soepelere overgang te maken met onze vooraf gedefinieerde consultancy-, installatie- en migratiepakketten voor een breed scala aan Fortinet-producten.

Over ons

Insoft biedt geautoriseerde trainings- en consultancydiensten voor geselecteerde IP-leveranciers. Ontdek hoe we een revolutie teweegbrengen in de industrie.

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    Beginning Java Data Structures and Algorithms

    Enroll Now
    Duration
    2 Dagen
    Delivery
    (Online and onsite)
    Price
    Price Upon Request
    The Beginning Java Data Structures and Algorithms course introduces different algorithmic techniques in each chapter. It does this by describing example problems and providing Java implementations where appropriate.

    Choosing the right algorithms and data structures for real-world software development problems helps to keep solutions simple and efficient. In this two-day course, we explore various core algorithms and provide detailed implementations.

    The course provides a base understanding of runtime complexity theory and then gradually exposes the reader to various methods and concepts on the subject. Each chapter is designed to build on the learnings of the previous ones.

     

    This course is packed with the theory and hands-on activities that will help cement the foundation of algorithms and data structures. Algorithms and data structures are the lifeblood of programming. They enable the programmers to write the code that handles the data efficiently.

    Lesson 1: Algorithms and Comlilexities

    • Developing our first algorithm
    • algorithmic complexity with Big O notation
    • Identifying algorithms with different complexities

    Lesson 2: Sorting Algorithms and Fundamental Data Structures

    • Introducing bubble sort
    • Understanding quick sort
    • Using merge sort
    • Getting started with fundamental data structures

    Lesson 3: Hash Tables and Binary Search Trees

    • Introducing hash tables
    • Getting started with binary search trees

    Lesson 4: Algorithm Design paradigms

    • Introducing greedy algorithms
    • Getting started with divide and conquer algorithms
    • Understanding dynamic programming

    Lesson 5: String Matching Algorithms

    • Beginning naive search algorithm
    • Getting started with the Boyer-Moore string searching algorithm
    • Introducing other string matching algorithms

    Lesson 6: Graphs, Prime Numbers, and Complexity Classes

    • Representing graphs
    • Traversing a graph
    • Calculating shortest paths
    • Prime numbers in algorithms
    • Other concepts in graphs
    • Understanding complexity classes of problems

    The target audience of this course is Java beginners who want to estimate the efficiency of the code and understand different algorithm techniques beneficial for a broad set of tasks. It is expected that the audience has a basic understanding of object-oriented programming techniques.

    Hardware

    This Java Data Structures and Algorithms course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

    • Processor: i3
    • Memory: 2 GB RAM
    • Hard disk: 10 GB
    • Internet connection

     

    Software

    • Operating system: Windows 8 64“bit or MacOS
    • A text editor:  Notepad++
    • A terminal: Command Prompt or PowerShell on Windows or Terminal on macOS
    • A run-time environment: Java Runtime Environment(JRE) 1.6 or higher
    • A software development kit: Java SE Development Kit, JDK 8 (or a later version)
    Overview
    The Beginning Java Data Structures and Algorithms course introduces different algorithmic techniques in each chapter. It does this by describing example problems and providing Java implementations where appropriate.

    Choosing the right algorithms and data structures for real-world software development problems helps to keep solutions simple and efficient. In this two-day course, we explore various core algorithms and provide detailed implementations.

    The course provides a base understanding of runtime complexity theory and then gradually exposes the reader to various methods and concepts on the subject. Each chapter is designed to build on the learnings of the previous ones.

     

    This course is packed with the theory and hands-on activities that will help cement the foundation of algorithms and data structures. Algorithms and data structures are the lifeblood of programming. They enable the programmers to write the code that handles the data efficiently.

    Lesson 1: Algorithms and Comlilexities

    • Developing our first algorithm
    • algorithmic complexity with Big O notation
    • Identifying algorithms with different complexities

    Lesson 2: Sorting Algorithms and Fundamental Data Structures

    • Introducing bubble sort
    • Understanding quick sort
    • Using merge sort
    • Getting started with fundamental data structures

    Lesson 3: Hash Tables and Binary Search Trees

    • Introducing hash tables
    • Getting started with binary search trees

    Lesson 4: Algorithm Design paradigms

    • Introducing greedy algorithms
    • Getting started with divide and conquer algorithms
    • Understanding dynamic programming

    Lesson 5: String Matching Algorithms

    • Beginning naive search algorithm
    • Getting started with the Boyer-Moore string searching algorithm
    • Introducing other string matching algorithms

    Lesson 6: Graphs, Prime Numbers, and Complexity Classes

    • Representing graphs
    • Traversing a graph
    • Calculating shortest paths
    • Prime numbers in algorithms
    • Other concepts in graphs
    • Understanding complexity classes of problems

    The target audience of this course is Java beginners who want to estimate the efficiency of the code and understand different algorithm techniques beneficial for a broad set of tasks. It is expected that the audience has a basic understanding of object-oriented programming techniques.

    Hardware

    This Java Data Structures and Algorithms course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

    • Processor: i3
    • Memory: 2 GB RAM
    • Hard disk: 10 GB
    • Internet connection

     

    Software

    • Operating system: Windows 8 64“bit or MacOS
    • A text editor:  Notepad++
    • A terminal: Command Prompt or PowerShell on Windows or Terminal on macOS
    • A run-time environment: Java Runtime Environment(JRE) 1.6 or higher
    • A software development kit: Java SE Development Kit, JDK 8 (or a later version)
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