Kubeflow Training Overview

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 and 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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Who should attend this Kubeflow Training Course?

The Kubeflow Training Course is designed for those who want to get better at streamlining their Machine Learning Workflows via Kubeflow, an open-source Machine Learning platform. This DevOps Certification Course can be beneficial to variety of professionals, including:

  • Data Scientists
  • Software Developers
  • Data Analysts
  • Data Engineers
  • DevOps Engineers
  • Cloud Engineers
  • AI and ML Experts  

Prerequisites of the Kubeflow Training Course

There are no formal prerequisites for this Kubeflow Training Course.

Kubeflow Training Course Overview

Kubeflow is an essential platform for orchestrating and deploying Machine Learning (ML) and data science workflows on Kubernetes. In the rapidly evolving field of DevOps, mastering Kubeflow is crucial. Kubeflow streamlines the deployment of ML models, making it pertinent for DevOps professionals looking to enhance their skills in ML operations. This course equips learners with the knowledge to excel in DevOps by integrating Machine Learning seamlessly.

Proficiency in Kubeflow is imperative for DevOps professionals aiming to excel in their careers. It empowers them to manage complex ML pipelines efficiently, ensuring the seamless integration of ML models into their applications. This DevOps Certification Training is tailored for DevOps Practitioners, Data Engineers, and anyone seeking DevOps Certifications, as it equips them with the skills needed to navigate the increasingly data-driven world of DevOps.

In this 2-day Kubeflow Training, delegates will gain a deep understanding of Kubeflow and the development of Machine Learning pipelines. During this DevOps Certification, 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 instructors with years of experience in teaching technical courses will conduct this training 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 completing this DevOps Certification Course, delegates will be equipped with the knowledge and skills needed to excel in DevOps roles requiring ML integration. This course serves as a solid foundation for those pursuing DevOps Certification, helping them stand out in the competitive field of DevOps.

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What’s included in this Kubeflow Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Kubeflow Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Kubeflow Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Kubeflow Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Kubeflow Training FAQs

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 training fees for Kubeflow Training certification in Canada starts from CAD3095
The Knowledge Academy is the Leading global training provider for Kubeflow Training.
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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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