Local, instructorled live Cloud Computing training courses demonstrate through handson practice the fundamentals of cloud computing and how to benefit from cloud computing
Cloud Computing training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop
NobleProg Your Local Training Provider.
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Testimonials
eksempler, materialforberedelse, nivået på trenerens kunnskap, utmerket kommunikasjon
Michał Krasucki - Instytut Lotnictwa
Kurs: AWS Developer Associate
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Øv på deler
Instytut Lotnictwa
Kurs: AWS Developer Associate
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Evnen til å tilpasse seg behovene til treningsdeltakere.
Komenda Główna Policji
Kurs: OpenStack Administration - Basic + Intermediate
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Opplæringen er praktisk, og det er bra for å forstå hvordan du bruker AWS trinnvis
PCCW
Kurs: AWS Developer Associate
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Profesjonalitet av treneren og evnen til å strukturere kunnskap og kommunisere på en interessant måte
Pawel Janik - Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate
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Stor kunnskap om foreleseren + en flott opplevelse :)
Mariusz Brodowski - Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate
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alt
Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate
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kunnskap og erfaring fra trener (sic!) materialer om hvordan du løper klassene - optimalt tempo, forståelig melding, en avslappet atmosfære kombinert med et innhold av veldig høy kvalitet, praktiske eksempler, øvelser under treningen (praktisk)
Miroslaw Matyla - Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate
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øvelser
Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate
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Trenerens kunnskap var imponerende.
Piotr Masłowski - ING Bank Śląski S.A.
Kurs: Hyperledger Fabric for Beginners
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Analyse av koden og manglene i Fabric.
ING Bank Śląski S.A.
Kurs: Hyperledger Fabric for Beginners
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Meget god kunnskap om faget
Florian Lavoillotte - Orange
Kurs: Terraform for Managing Cloud Infrastructure
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At treneren var i stand til å tilpasse seg spesifikke spørsmål / situasjoner
Inforit BV
Kurs: Kubernetes on Azure (AKS)
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That she asked for feedback everyday to improve on the next day's lectures
Bacher Systems EDV GmbH
Kurs: Terraform Fundamentals for Beginners
That it was all new technology and offerings to myself. After being shown how quick and easy it is to set up certain services in AWS, I feel I could get a real benefit out of it for quick project and proposal prototyping.
MDA Systems Ltd.
Kurs: AWS Developer Associate
Fernando knew the products and how to use them. His willingness and friendliness to assist in the hands-on lab was great.
MDA Systems Ltd.
Kurs: AWS Developer Associate
There was a good general pass over what seemed like the most important parts of AWS. The instructor was open to questions and addressed areas of AWS that were not part of the outline based on our questions.
MDA Systems Ltd.
Kurs: AWS Developer Associate
I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.
William Crowdis - MDA Systems Ltd.
Kurs: AWS Developer Associate
Thought it was a good overview of a lot of different services. Liked the detail on IAS.
MDA Systems Ltd.
Kurs: AWS Developer Associate
Explaining why it's financially viable to do these things
MDA Systems Ltd.
Kurs: AWS Developer Associate
It provided context for the things we do in AWS.
MDA Systems Ltd.
Kurs: AWS Developer Associate
Everything. I had played around with AWS before but just on my own personal time. The training really brought everything together, with real world examples and how many individual pieces can be bolted together for a applicable solution.
Matt Sartain - MDA Systems Ltd.
Kurs: AWS Developer Associate
Hands-on labs
MDA Systems Ltd.
Kurs: AWS Developer Associate
Praktiske øvelser
王 朝晖 - 是德科技
Kurs: OpenStack Administration - Basic + Intermediate
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Ro og selvbeherskelse av foreleseren og enorm kunnskap, overført på en enkel og enkel måte, støttet av praktiske eksempler. En av de bedre treningene jeg har deltatt på.
Tomasz Czajka - Unit4 Polska sp. z o.o.
Kurs: Introduction to Azure
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He knew what he was talking about
KnowledgePool
Kurs: Terraform for Managing Cloud Infrastructure
Reda took onboard suggestions for changes to approaches and as a result being able to walk through the examples with explanations as to what was happening/expected/required etc was very beneficial and helped my understanding, thank you Reda.
KnowledgePool
Kurs: Terraform for Managing Cloud Infrastructure
The exercises which we did during Friday morning, they were presented at a time when concentration was peak, with plenty of scope for guidance when required.
Roni Colling - KnowledgePool
Kurs: Terraform for Managing Cloud Infrastructure
very knowledgeable
Tony Edogiawerie - KnowledgePool
Kurs: Terraform for Managing Cloud Infrastructure
The trainer was knowledgeable in many related technical areas and displayed a real passion for the subject being taught
KnowledgePool
Kurs: Terraform for Managing Cloud Infrastructure
It was fast paced, but that keeps us on our toes, I requested the material to be sent to me, and it has been, so I am now able to review this at a more measured pace, to fully digest the content
Rupert Hirst - KnowledgePool
Kurs: Terraform for Managing Cloud Infrastructure
Mix of lectures and practical exercises
KnowledgePool
Kurs: Terraform for Managing Cloud Infrastructure
Training is good but require more time to practice test
Manu Megaravalli - HSBC Service Delivery (Polska) Sp. z o o.
Kurs: AWS Architect Certification
I really liked the training. It was very informative and clear explanation of all topics during whole training
Venkatesh Varanasi - HSBC Service Delivery (Polska) Sp. z o o.
Kurs: AWS Architect Certification
Since I am from network security the tropic interested me are network configuration and security management .As mentioned earlier 16 hours is not enough to cover all the topics , but the training is planned in such a way to provide an overview of how the cloud works .
Sanjith Cherian - HSBC Service Delivery (Polska) Sp. z o o.
Kurs: AWS Architect Certification
Cloud Computing Kursplaner
Kursnavn
Varighet
Oversikt
Kursnavn
Varighet
Oversikt
14 timer
Oversikt
AWS Lambda er en computertjeneste som lar utviklere skrive og kjøre kode uten å måtte spinne opp containere og virtuelle maskiner, vedlikeholde lagring eller skaffe ressursene for å kjøre koden i skala.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot utviklere som ønsker å integrere AWS Lambda funksjoner med tjenester som API Gateway, Kinesis Streams, etc. Opplæringen demonstrerer også hvordan du bruker den nettleserbaserte AWS Cloud9 IDE til utvikle programvare sammen.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Samarbeide utvikle applikasjoner og tjenester ved hjelp av AWS Cloud9 IDE.
- Integrer AWS Lambda funksjoner med andre AWS-tjenester.
- Opprett og administrer APIer.
- Sett opp en AWS Lambda funksjon for å lese og behandle streaming-data i sanntid.
- Lag og administrer en kontinuerlig integrasjonspipeline for å bygge, teste og distribuere en AWS Lambda applikasjon.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot utviklere som ønsker å integrere AWS Lambda funksjoner med tjenester som API Gateway, Kinesis Streams, etc. Opplæringen demonstrerer også hvordan du bruker den nettleserbaserte AWS Cloud9 IDE til utvikle programvare sammen.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Samarbeide utvikle applikasjoner og tjenester ved hjelp av AWS Cloud9 IDE.
- Integrer AWS Lambda funksjoner med andre AWS-tjenester.
- Opprett og administrer APIer.
- Sett opp en AWS Lambda funksjon for å lese og behandle streaming-data i sanntid.
- Lag og administrer en kontinuerlig integrasjonspipeline for å bygge, teste og distribuere en AWS Lambda applikasjon.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
Azure Kubernetes Service (AKS) er en vert Kubernetes tjeneste som forenkler distribusjonen og styringen av en Kubernetes klynge i Azure .
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på AKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på AKS
- Distribuer, administrer og skaler en Kubernetes klynge
- Distribuer container-applikasjoner ( Docker ) på Azure
- Migrer et eksisterende Kubernetes miljø fra stedet til AKS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på AKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på AKS
- Distribuer, administrer og skaler en Kubernetes klynge
- Distribuer container-applikasjoner ( Docker ) på Azure
- Migrer et eksisterende Kubernetes miljø fra stedet til AKS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
OpenStack is an open source cloud computing platform. Using OpenStack, users can manage public and private clouds while running Docker containers in cloud infrastructures.
This instructor-led, live training (onsite or remote) is aimed at cloud engineers who wish to use OpenStack and Docker to build, scale, and run containers in cloud infrastructures.
By the end of this training, participants will be able to:
- Build an application and containerize it from scratch.
- Improve the deployment of cloud infrastructures.
- Create a containerized OpenStack solution.
- Perform lifecycle management for cloud infrastructures.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at cloud engineers who wish to use OpenStack and Docker to build, scale, and run containers in cloud infrastructures.
By the end of this training, participants will be able to:
- Build an application and containerize it from scratch.
- Improve the deployment of cloud infrastructures.
- Create a containerized OpenStack solution.
- Perform lifecycle management for cloud infrastructures.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
21 timer
Oversikt
Kurset er dedikert til IT-ingeniører og arkitekter som leter etter en løsning for å være vertskap for private eller offentlige IaaS (Infrastructure as a Service) -skyer.
Kursmål:
- få grunnleggende kunnskaper om OpenStack design, installasjon og administrasjon,
- forberedelse til eksamen EX210 (Red Hat Certified System Administrator in Red Hat OpenStack ),
- automatisk og manuell OpenStack og -konfigurasjon.
Kursmål:
- få grunnleggende kunnskaper om OpenStack design, installasjon og administrasjon,
- forberedelse til eksamen EX210 (Red Hat Certified System Administrator in Red Hat OpenStack ),
- automatisk og manuell OpenStack og -konfigurasjon.
7 timer
Oversikt
Nextcloud er en open-source skybasert Nextcloud rettet mot bedrifter som ønsker å ha full kontroll over dataene sine. Dens åpen kildekode gir bedrifter frihet til å integrere tilpassede løsninger i Nextcloud basert på deres spesifikke behov.
I denne instruktørledede Nextcloud vil deltakerne lære grunnleggende om Nextcloud når de går gjennom å sette opp sin egen Nextcloud server.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Nextcloud
- Utfør Nextcloud administrasjons- og optimaliseringsoppgaver
- Integrer tredjepartsløsninger med Nextcloud å passe organisasjonens behov
Publikum
- Systemadministratorer
- Utviklere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede Nextcloud vil deltakerne lære grunnleggende om Nextcloud når de går gjennom å sette opp sin egen Nextcloud server.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Nextcloud
- Utfør Nextcloud administrasjons- og optimaliseringsoppgaver
- Integrer tredjepartsløsninger med Nextcloud å passe organisasjonens behov
Publikum
- Systemadministratorer
- Utviklere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
21 timer
Oversikt
Multicloud (multi-cloud) Computing refererer til bruken av skytjenester fra flere leverandører, for eksempel å bruke infrastruktur (Iaas) tjenester fra forskjellige leverandører samtidig, gjennom en enkelt administrasjonskonsoll.
Morpheus er en Cloud Application Management Platform for å administrere applikasjoner på tvers av flere skyer, samt å orkestrere skyressurser selv.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp, konfigurere og administrere Morpheus.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Morpheus
- Tilby sky-ressurser på tvers av forskjellige infrastrukturer
- Orkestre og administrer skyer, inkludert logging, overvåking og sikkerhetskopiering
- Migrer søknader fra stedet til private eller offentlige skyer
- Integrer Morpheus med tredjepartsverktøy som Ansible , Chef , Consul og andre
Publikum
- administratorer
- Utviklere
- DevOps Engineers
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
Morpheus er en Cloud Application Management Platform for å administrere applikasjoner på tvers av flere skyer, samt å orkestrere skyressurser selv.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp, konfigurere og administrere Morpheus.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Morpheus
- Tilby sky-ressurser på tvers av forskjellige infrastrukturer
- Orkestre og administrer skyer, inkludert logging, overvåking og sikkerhetskopiering
- Migrer søknader fra stedet til private eller offentlige skyer
- Integrer Morpheus med tredjepartsverktøy som Ansible , Chef , Consul og andre
Publikum
- administratorer
- Utviklere
- DevOps Engineers
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
MLOps (Machine Learning Operations) is the practice of integrating data science and operations to help manage the ML lifecycle. MLOps provides the ability to automate the reproduction of machine learning model development and training.
This instructor-led, live training (onsite or remote) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
MinIO is a cloud based storage server for storing objects and unstructured data. With MinIO, users are able to build high performance infrastructures that are lightweight and scalable.
This instructor-led, live training (onsite or remote) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO.
By the end of this training, participants will be able to:
- Provide an alternative to Unix Commands with the MinIO Client.
- Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
- Deploy MinIO on Kubernetes for orchestrated deployment to scale.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO.
By the end of this training, participants will be able to:
- Provide an alternative to Unix Commands with the MinIO Client.
- Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
- Deploy MinIO on Kubernetes for orchestrated deployment to scale.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
EKS er et selvstyrt Kubernetes -som-en-tjenestetilbud fra AWS. EKS er fullt skalerbar og tilpassbar og lar en implementering av Kubernetes etterligne og / eller integrere med et eksisterende Kubernetes oppsett på stedet.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på EKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på EKS
- Migrer et eksisterende Kubernetes miljø fra stedet til AWS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
- Forstå og ta i bruk verktøyene som er tilgjengelige for å administrere EKS effektivt
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på EKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på EKS
- Migrer et eksisterende Kubernetes miljø fra stedet til AWS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
- Forstå og ta i bruk verktøyene som er tilgjengelige for å administrere EKS effektivt
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
OpenMP (Open Multi-Processing) er et API for programmering av delt minne. Med OpenMP er programmerere i stand til å utvikle parallelle applikasjoner for plattformer fra stasjonære maskiner til ikke-delte minnesystemer.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot programvareingeniører som ønsker å utvikle parallelle applikasjoner ved bruk av OpenMP.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå og bruk parallell programmering med Fortran i OpenMP.
- Beregn fraktaler parallelt for å gjengi flere piksler og tegn.
- Implementere vektorprogrammering med SIMD-utvidelser for HPC-systemer.
- Legg til parallelle blokker for å spesifisere parallellitet for delt minne.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot programvareingeniører som ønsker å utvikle parallelle applikasjoner ved bruk av OpenMP.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå og bruk parallell programmering med Fortran i OpenMP.
- Beregn fraktaler parallelt for å gjengi flere piksler og tegn.
- Implementere vektorprogrammering med SIMD-utvidelser for HPC-systemer.
- Legg til parallelle blokker for å spesifisere parallellitet for delt minne.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
This instructor-led, live training (onsite or remote) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Kubeless, please visit: https://kubeless.io/
By the end of this training, participants will be able to:
- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Kubeless, please visit: https://kubeless.io/
28 timer
Oversikt
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
28 timer
Oversikt
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is a machine learning library and Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
This instructor-led, live training (onsite or remote) is aimed at developers who wish to use Knative to deploy serverless, event-driven functions, applications, and containers in a simplified and consistent manner.
By the end of this training, participants will be able to:
- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Knative, please visit: https://cloud.google.com/knative/
By the end of this training, participants will be able to:
- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Knative, please visit: https://cloud.google.com/knative/
8 timer
Oversikt
Summery:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
21 timer
Oversikt
Unlike other technologies, IoT is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the firs time, a modest course is offered to cover all of these critical aspects of IoT Engineering.
Summary
-
An advanced training program covering the current state of the art in Internet of Things
-
Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.
-
Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things
Target Audience
-
Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.
-
Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.
Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.
In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.
However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.
Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app.
This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.
Course Objective
Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.
-
Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and Total control plane
-
M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?
-
Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.
-
Security issues and security solutions for IoT
-
Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
-
Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
-
Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.
Summary
-
An advanced training program covering the current state of the art in Internet of Things
-
Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.
-
Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things
Target Audience
-
Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.
-
Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.
Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.
In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.
However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.
Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app.
This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.
Course Objective
Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.
-
Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and Total control plane
-
M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?
-
Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.
-
Security issues and security solutions for IoT
-
Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
-
Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
-
Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.
14 timer
Oversikt
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects.
In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.
By the end of this training, participants will be able to:
- Understand the fundamentals of IoT architecture
- Install and configure Azure IoT Suite
- Learn the benefits of using Azure in programming IoT systems
- Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
- Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.
By the end of this training, participants will be able to:
- Understand the fundamentals of IoT architecture
- Install and configure Azure IoT Suite
- Learn the benefits of using Azure in programming IoT systems
- Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
- Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
This instructor-led, live training (onsite or remote) is aimed at developers who wish to use OpenFaas to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying server infrastructure.
By the end of this training, participants will be able to:
- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenFaas, please visit: https://www.openfaas.com/
By the end of this training, participants will be able to:
- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenFaas, please visit: https://www.openfaas.com/
14 timer
Oversikt
OpenStack is an open source IaaS (Infrastructure as a Service) software stack. It is popular among Telecom providers who wish to optimize their network stack through Network Functions Virtualization (NFV).
This instructor-led, live training (onsite or remote) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.
By the end of this training, participants will be able to:
- Plan, deploy, and administer OpenStack as a private cloud.
- Understand IaaS architecture and its implementation under OpenStack.
- Replace physical routers and servers with virtual machines running in a private cloud.
- Reduce infrastructure and maintenance costs through virtualization and cloud computing.
- Expedite the rollout of new services to customers.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.
By the end of this training, participants will be able to:
- Plan, deploy, and administer OpenStack as a private cloud.
- Understand IaaS architecture and its implementation under OpenStack.
- Replace physical routers and servers with virtual machines running in a private cloud.
- Reduce infrastructure and maintenance costs through virtualization and cloud computing.
- Expedite the rollout of new services to customers.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
21 timer
Oversikt
Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.
In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
- Developers
- IT Professionals
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
- Developers
- IT Professionals
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
28 timer
Oversikt
Pivotal Cloud Foundry er en viktig merkeinstallasjon av Cloud Foundry . Den integrerer tjenester som My SQL , Redis , ELK, RabbitMQ , etc. med Cloud Foundry .
I denne instruktørledede liveopplæringen vil deltakerne lære å sette opp og administrere Pivotal Cloud Foundry .
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå hvordan Pivotal Cloud Foundry er forhold til andre skytilbud (SaaS, PaaS til IaaS)
- Installer, konfigurer og vedlikehold en forekomst av Pivotal Cloud Foundry
- Implementere et eksempel på skysøknad
- Konfigurer og administrer brukere på Pivotal Cloud Foundry
- Sikkerhetskopier, gjenopprett og oppgrader Pivotal Cloud Foundry
Publikum
- administratorer
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
I denne instruktørledede liveopplæringen vil deltakerne lære å sette opp og administrere Pivotal Cloud Foundry .
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå hvordan Pivotal Cloud Foundry er forhold til andre skytilbud (SaaS, PaaS til IaaS)
- Installer, konfigurer og vedlikehold en forekomst av Pivotal Cloud Foundry
- Implementere et eksempel på skysøknad
- Konfigurer og administrer brukere på Pivotal Cloud Foundry
- Sikkerhetskopier, gjenopprett og oppgrader Pivotal Cloud Foundry
Publikum
- administratorer
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
21 timer
Oversikt
Terraform er et konfigurasjonsorkestreringsverktøy for å bygge og administrere infrastruktur på og utenfor nettskyen.
Denne instruktørledede, liveopplæringen (stedet eller fjernkontrollen) er rettet mot ingeniører som har liten eller ingen tidligere erfaring med å administrere infrastruktur. Terraform vil bli brukt til å automatisere oppsett og distribusjon av infrastruktur.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Forstå prinsippene for infrastruktur som kode.
- Konfigurer og automatiser infrastruktur ved hjelp av Terraform .
- Skriv og del konfigurasjonsfil med teammedlemmer.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- Hvis du vil lære mer om Terraform , kan du gå til: https://github.com/hashicorp/terraform
Denne instruktørledede, liveopplæringen (stedet eller fjernkontrollen) er rettet mot ingeniører som har liten eller ingen tidligere erfaring med å administrere infrastruktur. Terraform vil bli brukt til å automatisere oppsett og distribusjon av infrastruktur.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Forstå prinsippene for infrastruktur som kode.
- Konfigurer og automatiser infrastruktur ved hjelp av Terraform .
- Skriv og del konfigurasjonsfil med teammedlemmer.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- Hvis du vil lære mer om Terraform , kan du gå til: https://github.com/hashicorp/terraform
14 timer
Oversikt
Denne instruktørledede, liveopplæringen (stedet eller fjernkontrollen) er rettet mot ingeniører som ønsker å bruke Terraform til å planlegge og bygge skyinfrastruktur.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Implementere en "infrastruktur som kode" -tilnærming for å styre private og offentlige skymiljøer.
- Skriv deklarative konfigurasjonsfiler for mer effektiv endringsledelse og samarbeid.
- Forbedre åpenhet i anskaffelsesprosessen for infrastruktur.
- Lag, lanser og fjern ressurser på tvers av forskjellige infrastrukturleverandører (AWS, GCP, Azure , OpenStack , VMware, etc.) fra et enkelt verktøy.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- For å lære mer om Terraform , vennligst besøk: https://www.terraform.io/
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Implementere en "infrastruktur som kode" -tilnærming for å styre private og offentlige skymiljøer.
- Skriv deklarative konfigurasjonsfiler for mer effektiv endringsledelse og samarbeid.
- Forbedre åpenhet i anskaffelsesprosessen for infrastruktur.
- Lag, lanser og fjern ressurser på tvers av forskjellige infrastrukturleverandører (AWS, GCP, Azure , OpenStack , VMware, etc.) fra et enkelt verktøy.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- For å lære mer om Terraform , vennligst besøk: https://www.terraform.io/
14 timer
Oversikt
This instructor-led, live training (onsite or remote) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications.
By the end of this training, participants will be able to:
- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
By the end of this training, participants will be able to:
- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
21 timer
Oversikt
Red Hat Ceph Storage is a storage platform for storing petabyte-size data.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to understand and deploy a Red Hat Ceph Storage cluster.
By the end of this training, participants will be able to:
- Install and configure Red Hat Ceph Storage.
- Deploy and manage a Red Hat Ceph Storage cluster.
- Tune Red Hat Ceph Storage for performance.
- Integrate Red Hat Ceph Storage with OpenStack.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Red Hat Open Ceph, please visit: https://www.redhat.com/en/technologies/storage/ceph
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to understand and deploy a Red Hat Ceph Storage cluster.
By the end of this training, participants will be able to:
- Install and configure Red Hat Ceph Storage.
- Deploy and manage a Red Hat Ceph Storage cluster.
- Tune Red Hat Ceph Storage for performance.
- Integrate Red Hat Ceph Storage with OpenStack.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Red Hat Open Ceph, please visit: https://www.redhat.com/en/technologies/storage/ceph
21 timer
Oversikt
Pulumi is an infrastructure as code tool for creating, deploying, and managing cloud applications and infrastructure.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
21 timer
Oversikt
Pivotal Cloud Foundry er en viktig merkeinstallasjon av Cloud Foundry . Den integrerer tjenester som My SQL , Redis , ELK, RabbitMQ , etc. med Cloud Foundry .
I denne instruktørledede, liveopplæringen, vil deltakerne lære å distribuere, administrere og skalere applikasjoner på Pivotal Cloud Foundry .
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå hvordan Pivotal Cloud Foundry er forhold til andre skytilbud (SaaS, PaaS til IaaS)
- Distribuer, administrer og skaler native applikasjoner og tjenester
- Forstå hvordan Cloud Foundry passer inn i en mikroservicearkitektur
Publikum
- Utviklere
- administratorer
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
I denne instruktørledede, liveopplæringen, vil deltakerne lære å distribuere, administrere og skalere applikasjoner på Pivotal Cloud Foundry .
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå hvordan Pivotal Cloud Foundry er forhold til andre skytilbud (SaaS, PaaS til IaaS)
- Distribuer, administrer og skaler native applikasjoner og tjenester
- Forstå hvordan Cloud Foundry passer inn i en mikroservicearkitektur
Publikum
- Utviklere
- administratorer
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
7 timer
Oversikt
OSv is an open source operating system for the cloud.
In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment.
By the end of this training, participants will be able to:
- Run OSv on minimal memory and cpu overhead, compared to traditional OSs
- Install, configure and troubleshoot OSv
- Reduce the size and number of running OS instances
- Run large applications such as Cassandra on OSv
Audience
- System administrators
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment.
By the end of this training, participants will be able to:
- Run OSv on minimal memory and cpu overhead, compared to traditional OSs
- Install, configure and troubleshoot OSv
- Reduce the size and number of running OS instances
- Run large applications such as Cassandra on OSv
Audience
- System administrators
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
14 timer
Oversikt
This instructor-led, live training (onsite or remote) is aimed at developers who wish to use OpenWhisk to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying execution environment.
By the end of this training, participants will be able to:
- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- OpenWhisk supports a number of languages, including: Go, Java, JavaScript, PHP, Python, Ruby, Swift, etc. To request a specific language for the course, please contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenWhisk, please visit: http://openwhisk.incubator.apache.org/
By the end of this training, participants will be able to:
- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- OpenWhisk supports a number of languages, including: Go, Java, JavaScript, PHP, Python, Ruby, Swift, etc. To request a specific language for the course, please contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenWhisk, please visit: http://openwhisk.incubator.apache.org/
14 timer
Oversikt
The course is providing practical knowledge on OpenStack and private cloud security. It starts from the introduction to the system, then the participants are getting practical knowledge on security in private clouds and securing OpenStack installation.
Kommende Cloud Computing Kurs
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Rådgivning
Helg Cloud Computing kurs, kveld Cloud Computing trening, Cloud Computing boot camp, Cloud Computing instruktørledet, Helg Cloud Computing trening, Kveld Cloud Computing kurs, Cloud Computing coaching, Cloud Computing instruktør, Cloud Computing trener, Cloud Computing kurs, Cloud Computing klasser, Cloud Computing on-site, Cloud Computing private kurs, Cloud Computing tomannshånd trening
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