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One of our training experts will be in touch shortly to go over your training requirements.

Course Information

Kubeflow Training Course Outline

Module 1: Getting Started

  • Introduction
  • Architecture
  • Installing Kubeflow

Module 2: Central Dashboard

  • Introduction to Central Dashboard
  • Customising Menu Items
  • Registration Flow

Module 3: Kubeflow Notebooks

  • Overview
  • Container Images
  • Submit Kubernetes Resources
  • Troubleshooting
  • Kubeflow Notebooks API

Module 4: Kubeflow Pipelines

  • Introduction
  • Overview
  • Concepts Used in Pipelines
  • Installation
  • Pipelines SDK
  • Pipelines SDK (v2)
  • Troubleshooting

Module 5: Katib

  • Introduction to Katib
  • Getting Started with Katib
  • Running an Experiment
  • Overview of Trial Templates
  • Using Early Stopping
  • Katib Configuration Overview
  • Environment Variables for Katib Components

Module 6: Multi-Tenancy

  • Introduction to Multi-User Isolation
  • Design for Multi-User Isolation
  • Getting Started with Multi-User Isolation

Module 7: External Add-Ons

  • Elyra
  • Istio
  • Kale
  • KServe
    • Migration
    • Models UI
    • Run Your First InferenceService
  • Fairing
    • Overview of Kubeflow Fairing
    • Install Kubeflow Fairing
    • Configure Kubeflow Fairing
    • Fairing on Azure
    • Fairing on GCP
  • Feature Store
    • Introduction to Feast
    • Getting Started with Feast
  • Tools for Serving
    • Seldon Core Serving
    • BentoML
    • MLRun Serving Pipelines
    • NVIDIA Triton Inference Server
    • TensorFlow Serving
    • TensorFlow Batch Prediction

Module 8: Kubeflow Distributions

  • Kubeflow on AWS
  • Arrikto Enterprise Kubeflow
  • Arrikto Kubeflow as a Service
  • Charmed Kubeflow

Module 9: Kubeflow on Azure

  • Deployment
  • Authentication Using OIDC in Azure
  • Azure Machine Learning Components
  • Access Control for Azure Deployment
  • Configure Azure MySQL Database to Store Metadata
  • Troubleshooting Deployments on Azure AKS

Module 10: Kubeflow on Google Cloud

  • Deployment
  • Pipelines on Google Cloud
  • Customise Kubeflow on GKE
  • Using Your Own Domain
  • Authenticating Kubeflow to Google Cloud
  • Securing Your Clusters
  • Troubleshooting Deployments on GKE
  • Kubeflow On-Premises on Anthos

Module 11: Kubeflow on IBM Cloud

  • Create or Access an IBM Cloud Kubernetes Cluster
  • Create or Access an IBM Cloud Kubernetes Cluster on a VPC
  • Kubeflow Deployment on IBM Cloud
  • Pipelines on IBM Cloud Kubernetes Service (IKS)
  • Using IBM Cloud Container Registry (ICR)
  • End-to-End Kubeflow on IBM Cloud

Module 12: Kubeflow on Nutanix Karbon

  • Install Kubeflow on Nutanix Karbon
  • Integrate with Nutanix Storage
  • Uninstall Kubeflow

Module 13: Kubeflow Operator

  • Introduction to Kubeflow Operator
  • Installing Kubeflow Operator
  • Installing Kubeflow
  • Uninstalling Kubeflow
  • Uninstalling Kubeflow Operator
  • Troubleshooting

Module 14: Kubeflow on OpenShift

  • Install Kubeflow on OpenShift
  • Uninstall Kubeflow

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Prerequisites 

There are no formal prerequisites for attending this Kubeflow Training course. 

Audience 

This course is designed for everyone who wants to gain knowledge of Machine Learning pipelines to orchestrate complicated workflows running on Kubernetes. However, it is well suited for:

  • Developers
  • Data Scientists

Kubeflow Training Course Overview

Kubeflow is an open-source Machine Learning platform that allows Machine Learning pipelines to orchestrate complex Kubernetes activities. It is essential to deploy the container to a specific environment by customising the resulting configuration files and running the provided scripts. The basic idea behind Kubeflow is to scale Machine Learning models and deploy them to production. This training assists learner in creating and testing machine learning pipelines for composing workflows running on Kubernetes and integrating Kubeflow on different platforms. Gaining technical expertise and development skills through this Kubeflow training will help individuals advance their career prospects and climb the ladder of success quickly.

In this 5-day Kubeflow Training, delegates will gain a deep understanding of Kubeflow and the development of Machine Learning pipelines. During this training, delegates will learn about the architecture and installation process of Kubeflow. They will also learn about the central dashboard that provides quick access to Kubeflow components deployed in a cluster. Our highly professional instructor with years of experience in teaching technical courses will conduct this training course and will help them to get a complete understanding of this course.

Course Objectives:

  • To deploy Machine Learning systems to several environments for development
  • To evaluate the output of many stages of the Machine Learning workflow
  • To use Jupyter and TensorFlow in Kubeflow Notebooks effectively
  • To set up Kubeflow with authentication and authorisation support through OIDC in Azure
  • To identify the problems and collect data to train the Machine Learning model
  • To evaluate the output of various stages and apply changes to the model

After attending this training, delegates will be able to make scalable Machine Learning models and manage loosely coupled microservices. They will also be able to transform the data into the training system's format and serve the model for online prediction or running in batch mode. 

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  • Delegate pack consisting of course notes and exercises
  • Courseware
  • Experienced Instructor

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.

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Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience

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Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.

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Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.

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Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Kubeflow Training FAQs

FAQ's

Kubeflow is an open-source Machine Learning platform that allows Machine Learning pipelines to orchestrate complex Kubernetes activities.
There are no formal prerequisites for attending this Kubeflow Training course.
This course is designed for everyone who wants to gain knowledge of Machine Learning pipelines to orchestrate complicated workflows running on Kubernetes.
Kubeflow aims to make scaling Machine Learning models and deploy them to production by managing loosely-coupled microservices and scaling based on demand.
Kubeflow is beneficial for hiding the complexity involved in code containerisation for data preparation, tuning, training, and deploying Machine Learning models.
The goal of Kubeflow Pipelines is to simplify and enable the orchestration of Machine Learning pipelines, make it easy to try various techniques, and reuse components to create end-to-end solutions quickly.
In this Kubeflow Training course, you will learn about the central dashboard, Kubeflow Notebooks, Pipelines, Katib, multi-user isolation, in-depth design for supporting multi-user isolation, training operators, Kubeflow on AWS, charmed Kubeflow from canonical, and other relatable concepts.
The price for Kubeflow Training certification in the United Kingdom starts from £1995
The Knowledge Academy is the Leading global training provider in the world for Kubeflow Training.
Please see our DevOps courses available in the United Kingdom

Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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