Kubeflow Opplæringskurs

Kubeflow Opplæringskurs

Lokale, instruktørledede live Kubeflow treningskurs demonstrerer gjennom interaktiv praktisk praksis hvordan du bruker Kubeflow til å bygge, distribuere og administrere Kubeflow for maskinlæring på Kubernetes . Kubeflow trening er tilgjengelig som "live live training" eller "live live training". Live-trening på stedet kan gjennomføres lokalt i kundelokaler i Norge eller i NobleProg bedriftsopplæringssentre i Norge . Ekstern liveopplæring gjennomføres ved hjelp av et interaktivt, fjerntliggende skrivebord. NobleProg - din lokale opplæringsleverandør

Machine Translated

Testimonials

★★★★★
★★★★★

Kubeflow Kursplaner

Kursnavn
Varighet
Oversikt
Kursnavn
Varighet
Oversikt
35 timer
Oversikt
This instructor-led, live training in Norge (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this training, participants will be able to:

- Install and configure Kubeflow on premise and in the cloud using AWS EKS (Elastic Kubernetes Service).
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
28 timer
Oversikt
This instructor-led, live training in Norge (online or onsite) 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.
28 timer
Oversikt
This instructor-led, live training in Norge (online or onsite) 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.
28 timer
Oversikt
This instructor-led, live training in Norge (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Google Cloud Platform (GCP).

By the end of this training, participants will be able to:

- Install and configure Kubernetes, Kubeflow and other needed software on GCP and GKE.
- Use GKE (Kubernetes Kubernetes Engine) to simplify the work of initializing a Kubernetes cluster on GCP.
- 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 GCP services to extend an ML application.
28 timer
Oversikt
This instructor-led, live training in Norge (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to IBM Cloud Kubernetes Service (IKS).

By the end of this training, participants will be able to:

- Install and configure Kubernetes, Kubeflow and other needed software on IBM Cloud Kubernetes Service (IKS).
- Use IKS to simplify the work of initializing a Kubernetes cluster on IBM Cloud.
- 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 IBM Cloud services to extend an ML application.
28 timer
Oversikt
This instructor-led, live training in Norge (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud.

- By the end of this training, participants will be able to:
- Install and configure Kubernetes and Kubeflow on an OpenShift cluster.
- Use OpenShift to simplify the work of initializing a Kubernetes cluster.
- 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.
- Call public cloud services (e.g., AWS services) from within OpenShift to extend an ML application.
28 timer
Oversikt
This instructor-led, live training in Norge (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this training, participants will be able to:

- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

Kommende Kubeflow Kurs

Helg Kubeflow kurs, kveld Kubeflow trening, Kubeflow boot camp, Kubeflow instruktørledet, Helg Kubeflow trening, Kveld Kubeflow kurs, Kubeflow coaching, Kubeflow instruktør, Kubeflow trener, Kubeflow kurs, Kubeflow klasser, Kubeflow on-site, Kubeflow private kurs, Kubeflow tomannshånd trening

Kursrabatter

Kursrabatter Nyhetsbrev

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients

is growing fast!

We are looking to expand our presence in Norway!

As a Business Development Manager you will:

  • expand business in Norway
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!

This site in other countries/regions