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Cisco-training
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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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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Services Oplossingen
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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CIAI - Cisco Introduction to Artificial Intelligence
Duration
2 Dagen
Delivery Online
Price Price Upon Request
In this 2-day course, Cisco Introduction to Artificial Intelligence (CIAI), we will introduce the learner to the Artificial Intelligence, Machine Learning, and Deep Learning essentials in addition to compute platforms such as Cisco UCS, through a combination of lecture and hands-on labs. Artificial Intelligence (AI) and Machine Learning (ML) are opening up new ways for enterprises to solve complex problems, but they will also have a profound effect on the underlying infrastructure and processes of IT. AI/ML is a dominant trend in the enterprise with the ubiquity of large amounts of observed data, the rise of distributed computing frameworks and the prevalence of large hardware-accelerated computing infrastructure became essential.
Data and AI/ML/DL Fundamentals
- Introduction to Big Data
- Introduction to Data Science
- Introduction to Data Engineering
- Introduction to Artificial Intelligence (AI)
- Introduction to Machine Learning (ML)
- Introduction to Deep Learning (DL)
- AI/ML/DL Use Cases
Artificial Intelligence (AI)
- AI Concept, Methods, and Techniques
- Key AI Challenges (Customer and Provider)
- AI Business Drives
- Evolution of AI Algorithms
Machine Learning (ML)
- Machine Learning (ML) Algorithms
- Supervised Learning
- Unsupervised Learning
Deep Learning (DL)
- Deep Learning Project Phases
- Custom AI Deep Learning Workflow
- Deep Learning (DL) Algorithms
Neural Networks
- Neural Networks Fundamentals
- Neural Architecture Search (NAS)
- Cisco Neural Architecture Construction (NAC)
NLP / NLU
- Natural Language Processing Basics
- NLP / NLU Techniques
- NLP / NLU Deployments
Kubernetes
- What is Kubernetes
- Introduction to Containers
- Container Orchestration Engines
- Kubernetes Basics
- KubeFlow for AI
AI Server Requirements
- GPU
- Modern GPU Server Architecture
- Storage Requirements
Data Science and Infrastructure AI Tools
- Big Data with AI/ML/DL
- Kubeflow
- SkyMind SKIL
- Cloudera Data Science Workbench
- DL Frameworks > Handwritten Math
- Kubernetes
- Demo: Classifying Handwritten Digits with TensorFlow
Lab Outline:
- Lab 1: Deep Learning Framework Setup (TensorFlow and Jupyter Stack)
- Lab 2: Classifying Handwritten Digits and TensorFlow
- Lab 3: DL Chatbot – Training a Model to have a conversation with a Google Chatbot similar to Alexa or Siri
- Lab 4: ML Training a Machine to play “The Snake Game"
- Cisco Integrators/Partners
- Consulting Systems Engineers
- Technical Solutions Architects
- Data Center network professionals (including designers, Administrators, and Engineers), and anyone interested in AI/ML/DL
The knowledge and skills that the learner should have before attending this course are as follows:
- Understanding of server design and architecture
In this 2-day course, Cisco Introduction to Artificial Intelligence (CIAI), we will introduce the learner to the Artificial Intelligence, Machine Learning, and Deep Learning essentials in addition to compute platforms such as Cisco UCS, through a combination of lecture and hands-on labs. Artificial Intelligence (AI) and Machine Learning (ML) are opening up new ways for enterprises to solve complex problems, but they will also have a profound effect on the underlying infrastructure and processes of IT. AI/ML is a dominant trend in the enterprise with the ubiquity of large amounts of observed data, the rise of distributed computing frameworks and the prevalence of large hardware-accelerated computing infrastructure became essential.
Data and AI/ML/DL Fundamentals
- Introduction to Big Data
- Introduction to Data Science
- Introduction to Data Engineering
- Introduction to Artificial Intelligence (AI)
- Introduction to Machine Learning (ML)
- Introduction to Deep Learning (DL)
- AI/ML/DL Use Cases
Artificial Intelligence (AI)
- AI Concept, Methods, and Techniques
- Key AI Challenges (Customer and Provider)
- AI Business Drives
- Evolution of AI Algorithms
Machine Learning (ML)
- Machine Learning (ML) Algorithms
- Supervised Learning
- Unsupervised Learning
Deep Learning (DL)
- Deep Learning Project Phases
- Custom AI Deep Learning Workflow
- Deep Learning (DL) Algorithms
Neural Networks
- Neural Networks Fundamentals
- Neural Architecture Search (NAS)
- Cisco Neural Architecture Construction (NAC)
NLP / NLU
- Natural Language Processing Basics
- NLP / NLU Techniques
- NLP / NLU Deployments
Kubernetes
- What is Kubernetes
- Introduction to Containers
- Container Orchestration Engines
- Kubernetes Basics
- KubeFlow for AI
AI Server Requirements
- GPU
- Modern GPU Server Architecture
- Storage Requirements
Data Science and Infrastructure AI Tools
- Big Data with AI/ML/DL
- Kubeflow
- SkyMind SKIL
- Cloudera Data Science Workbench
- DL Frameworks > Handwritten Math
- Kubernetes
- Demo: Classifying Handwritten Digits with TensorFlow
Lab Outline:
- Lab 1: Deep Learning Framework Setup (TensorFlow and Jupyter Stack)
- Lab 2: Classifying Handwritten Digits and TensorFlow
- Lab 3: DL Chatbot – Training a Model to have a conversation with a Google Chatbot similar to Alexa or Siri
- Lab 4: ML Training a Machine to play “The Snake Game"
- Cisco Integrators/Partners
- Consulting Systems Engineers
- Technical Solutions Architects
- Data Center network professionals (including designers, Administrators, and Engineers), and anyone interested in AI/ML/DL
The knowledge and skills that the learner should have before attending this course are as follows:
- Understanding of server design and architecture
Follow Up Courses
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12 May - 16 May, 2025
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3 Dagen
21 Apr - 23 Apr, 2025
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8 Sep - 10 Sep, 2025
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