Cisco-opplæring

Insoft Services er en av få opplæringsleverandører i EMEAR som tilbyr hele spekteret av Cisco-sertifisering og spesialisert teknologiopplæring.

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Cisco Sertifisering

Opplev en blandet læringstilnærming som kombinerer det beste av instruktørledet opplæring og e-læring i eget tempo for å hjelpe deg med å forberede deg til sertifiseringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLC) er forhåndsbetalte opplæringskuponger innløst direkte med Cisco som gjør planleggingen for suksessen din enklere når du kjøper Cisco-produkter og -tjenester.

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Etterutdanning

Cisco Continuing Education Program tilbyr alle aktive sertifiseringsinnehavere fleksible alternativer for å resertifisere ved å fullføre en rekke kvalifiserte opplæringselementer.

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Cisco Digital Learning

Sertifiserte ansatte er verdsatte eiendeler. Utforsk Ciscos offisielle digitale læringsbibliotek for å utdanne deg gjennom innspilte økter.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på å skjerpe forretningsferdighetene til Cisco Channel Partners og kunder.

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Cisco opplæringskatalog

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Fortinet Sertifisering

Fortinet Network Security Expert (NSE)-programmet er et opplærings- og sertifiseringsprogram på åtte nivåer for å lære ingeniører om nettverkssikkerheten for Fortinet FW-ferdigheter og -erfaring.

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Fortinet-opplæring

Insoft er anerkjent som Fortinet Autorisert Opplæringssenter på utvalgte steder i EMEA.

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Fortinet opplæringskatalog

Utforsk et bredt utvalg av Fortinet Schedule på tvers av forskjellige land så vel som online kurs.

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ATC-status

Sjekk atc-statusen vår på tvers av utvalgte land i Europa.

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Pakker for Fortinet-tjenester

Insoft Services har utviklet en spesifikk løsning for å effektivisere og forenkle prosessen med å installere eller migrere til Fortinet-produkter.

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Microsoft-opplæring

Insoft Services gir Microsoft opplæring i EMEAR. Vi tilbyr Microsofts tekniske opplærings- og sertifiseringskurs som ledes av instruktører i verdensklasse.

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Extreme-opplæring

Lær eksepsjonell kunnskap og ferdigheter i ekstreme nettverk.

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Teknisk sertifisering

Vi tilbyr omfattende læreplan over tekniske kompetanseferdigheter om sertifiseringsprestasjonen.

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Extreme opplæringskatalog

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ATP-akkreditering

Som autorisert opplæringspartner (ATP) sørger Insoft Services for at du får de høyeste utdanningsstandardene som er tilgjengelige.

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Løsninger og tjenester

Vi tilbyr innovativ og avansert støtte for design, implementering og optimalisering av IT-løsninger. Vår kundebase inkluderer noen av de største Telcos globalt.

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Globalt anerkjent team av sertifiserte eksperter hjelper deg med å gjøre en jevnere overgang med våre forhåndsdefinerte konsulent-, installasjons- og migrasjonspakker for et bredt spekter av Fortinet-produkter.

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Insoft Tilbyr autoriserte opplærings- og konsulenttjenester for utvalgte IP-leverandører. Finn ut hvordan vi revolusjonerer bransjen.

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  • +47 23 96 21 03
  • Artificial Intelligence Foundation - HQ7H8S

    Duration
    3 Dager
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørsel

    Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior.

     

    This training covers the potential benefits and challenges of ethical and sustainable robust Artificial Intelligence (AI); the basic process of Machine Learning (ML) – Building a Machine Learning (ML) Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work. This course prepares for the EXIN BCS Artificial Intelligence Foundation certification

    In this course, students will learn to:

    • Describe how artificial intelligence (AI) is part of ‘Universal Design’ and ‘The Fourth Industrial Revolution’
    • Demonstrate understanding of the artificial intelligence (AI) intelligent agent description
    • Explain the benefits of artificial intelligence (AI)
    • Describe how we learn from data—functionality, software and hardware
    • Demonstrate an understanding that artificial intelligence (AI) (in particular, machine learning—ML) will drive humans and machines to work together
    • Describe a ‘learning from experience’ Agile approach to projects

    Introduction and Course Outline

    • Course overview and structure
    • Exam information
    • Daily schedule

     

    Human and Artificial Intelligence—Part 1

    • General definition of AI
    • Ethics
    • Sustainability
    • AI as part of Universal Design and The Fourth Industrial Revolution
    • Challenges and risks

     

    Exercise 1

    • Opportunities for AI

     

    Human and Artificial Intelligence—Part 2

    • Learning from experience
    • Applying the benefits of AI
    • Opportunities

     

    Ethics and Sustainability – Trustworthy AI—Part 1

    • Roles and responsibilities of humans and machines

     

    Ethics and Sustainability – Trustworthy AI—Part 2

    • Trustworthy AI

     

    Sustainability, Universal Design, Fourth Industrial Revolution and Machine Learning

    • Learning from data, functionality, software and hardware

     

    Exercise Two

    • Ethics and sustainability

     

    Artificial Intelligent Agents and Robotics

    • AI intelligent agent description
    • What a robot is
    • What an intelligent robot is

     

    Being Human, Conscious, Competent and Adaptable

    • AI project teams
    • Modelling humans

     

    Exercise Three

    • Human plus machine mindmap

     

    What is a Robot?

    • Definition of a robot
    • Robot paradigm

     

    Applying the Benefits of AI

    • Benefits, challenges and risks

     

    Applying the Benefits of AI

    • Opportunities and funding

     

    Building a Machine Learning Toolbox

    • How do we learn from data?

     

    Building a Machine Learning Toolbox

    • Types of machine learning Exercise Four
    • Define a simple ML problem

     

    Exercise Four

    • Define a simple ML problem

     

    Building a Machine Learning Toolbox – Two Case Studies

     

    Building a Machine Learning Toolbox

    • Introduction to probability and statistics

     

    Building a Machine Learning Toolbox

    • Introduction to linear algebra and vector calculus

     

    Building a Machine Learning Toolbox

    • Visualising data

     

    A Simple Neural Network Schematic

    • Introduction to neural networks

     

    Exercise Five

    • Maturity and funding of an AI system

     

    Open Source ML and Robotic Systems

    • Open source software for AI and robotics

     

    Machine Learning and Consciousness

    • Introduction to machine learning and consciousness

     

    The Future of Artificial Intelligence

    • The human + machine
    • What will drive humans and machines to work together

     

    Exercise Six

    • Explore the future opportunities for AI and human systems

     

    Learning from Experience

    • Agile projects

     

    Conclusion

     

    Exam Practice and Preparation

     

    Examination

    The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in (or need to implement) AI in an organization—especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services.

    Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior.

     

    This training covers the potential benefits and challenges of ethical and sustainable robust Artificial Intelligence (AI); the basic process of Machine Learning (ML) – Building a Machine Learning (ML) Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work. This course prepares for the EXIN BCS Artificial Intelligence Foundation certification

    In this course, students will learn to:

    • Describe how artificial intelligence (AI) is part of ‘Universal Design’ and ‘The Fourth Industrial Revolution’
    • Demonstrate understanding of the artificial intelligence (AI) intelligent agent description
    • Explain the benefits of artificial intelligence (AI)
    • Describe how we learn from data—functionality, software and hardware
    • Demonstrate an understanding that artificial intelligence (AI) (in particular, machine learning—ML) will drive humans and machines to work together
    • Describe a ‘learning from experience’ Agile approach to projects

    Introduction and Course Outline

    • Course overview and structure
    • Exam information
    • Daily schedule

     

    Human and Artificial Intelligence—Part 1

    • General definition of AI
    • Ethics
    • Sustainability
    • AI as part of Universal Design and The Fourth Industrial Revolution
    • Challenges and risks

     

    Exercise 1

    • Opportunities for AI

     

    Human and Artificial Intelligence—Part 2

    • Learning from experience
    • Applying the benefits of AI
    • Opportunities

     

    Ethics and Sustainability – Trustworthy AI—Part 1

    • Roles and responsibilities of humans and machines

     

    Ethics and Sustainability – Trustworthy AI—Part 2

    • Trustworthy AI

     

    Sustainability, Universal Design, Fourth Industrial Revolution and Machine Learning

    • Learning from data, functionality, software and hardware

     

    Exercise Two

    • Ethics and sustainability

     

    Artificial Intelligent Agents and Robotics

    • AI intelligent agent description
    • What a robot is
    • What an intelligent robot is

     

    Being Human, Conscious, Competent and Adaptable

    • AI project teams
    • Modelling humans

     

    Exercise Three

    • Human plus machine mindmap

     

    What is a Robot?

    • Definition of a robot
    • Robot paradigm

     

    Applying the Benefits of AI

    • Benefits, challenges and risks

     

    Applying the Benefits of AI

    • Opportunities and funding

     

    Building a Machine Learning Toolbox

    • How do we learn from data?

     

    Building a Machine Learning Toolbox

    • Types of machine learning Exercise Four
    • Define a simple ML problem

     

    Exercise Four

    • Define a simple ML problem

     

    Building a Machine Learning Toolbox – Two Case Studies

     

    Building a Machine Learning Toolbox

    • Introduction to probability and statistics

     

    Building a Machine Learning Toolbox

    • Introduction to linear algebra and vector calculus

     

    Building a Machine Learning Toolbox

    • Visualising data

     

    A Simple Neural Network Schematic

    • Introduction to neural networks

     

    Exercise Five

    • Maturity and funding of an AI system

     

    Open Source ML and Robotic Systems

    • Open source software for AI and robotics

     

    Machine Learning and Consciousness

    • Introduction to machine learning and consciousness

     

    The Future of Artificial Intelligence

    • The human + machine
    • What will drive humans and machines to work together

     

    Exercise Six

    • Explore the future opportunities for AI and human systems

     

    Learning from Experience

    • Agile projects

     

    Conclusion

     

    Exam Practice and Preparation

     

    Examination

    The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in (or need to implement) AI in an organization—especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services.

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