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 1-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
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Our Milton Keynes venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Milton Keynes is a large town located in Buckinghamshire, England. It is in the centre of the Borough of Milton Keynes and is located about 45 miles (72 km) north-west of London. Milton Keynes currently has an estimated population of over 200,000 residents inhabiting the city; it increased from 53,000 in 1961. Schools in Milton Keynes follow the British educational Tripartite System which is divided into three levels: Primary School, Secondary Schools and Higher Education. The education in Milton Keynes is compulsory for children up until they are 16 years old. The city offers over 80 state schools which are Comprehensive School including Stantonbury Campus and Denbigh School, as well as Grammar Schools. The city also includes Private Schools, Webber Independent School, which is a mixes school for children from the ages of 3 to 18 years old, and the Milton Keynes Preparatory School which is also a mixed schools forma age 2 ½ years old to 11 years old. Milton Keynes also offers Special Schools and Alternative Schools for children living in the city including The Redway School and White Spire School. There are four independent Primary and Preparatory Schools including: Broughton Manor Preparatory School, Walton Pre Preparatory School, Milton Keynes Preparatory School, and the Grove School.

Popular searched areas in and around Milton Keynes include:-

  • Bletchley
  • Brooklands
  • Broughton
  • Kingston
  • Loughton
  • Middleton
  • Nash
  • Northfield
  • Salford
  • Simpson
  • Springfield
  • Stonebridge
  • Stony Stratford
  • Thornton
  • Walnut Tree
  • Walton
  • Walton Hall
  • Woburn
  • Wolverton

Milton Keynes is home to The Open University's (OU) headquarters which is situated in the Walton Hall district. It is a public university and was established in 1969 and has nearly 170,000 students; with 156,000 undertaking their undergraduate degrees and 11,000 doing their postgraduates. The Open University has study off-campuses based all over the UK and all over the world. There are many notable current and former academics including astronomer Jocelyn Bell Burnell, editor of Red Pepper magazine Hilary Wainwright, discourse analyst, social psychologist Margaret Wetherell, and space scientist John Zarnecki. Open University's (OU) also has over two million alumni that attended the university. Milton Keynes is notable for its world-famous architect Sir Norman Foster in designing the city as well as the Foster's Beanhill housing scheme.

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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Kubeflow Training Course. 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.

classes

Live classes

Join a scheduled class with a live instructor and other delegates.

interactive

Interactive

Engage in activities, and communicate with your trainer and peers.

degree

Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

expertise

Expertise

With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

global

Global Reach

With classes running in all timezones, access any of our courses and course material from anywhere, anytime.

Master Kubeflow Training with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

trainer

Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

venue

Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Kubeflow Training industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

classes

Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

money

Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Experience the most sought-after learning style with The Knowledge Academy's Kubeflow Training Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led CIPD Level 3 Foundation Certificate in People Practice Course sessions.

trainer

Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

venue

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

classes

Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

money

Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Kubeflow Training Course at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

tailored

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

budget

Maximise your training budget

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

building

Team building opportunity

Our Kubeflow Training Course offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

monitor

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Package deals for Kubeflow Training

Our training experts have compiled a range of course packages on a variety of categories in Kubeflow Training, to boost your career. The packages consist of the best possible qualifications with Kubeflow Training, and allows you to purchase multiple courses at a discounted rate.

Kubeflow Training | DevOps in Milton Keynes FAQs

What is Kubeflow?

Kubeflow is an open-source platform designed for deploying, managing, and scaling machine learning workflows on Kubernetes, streamlining the machine learning lifecycle from experimentation to production.

What are the prerequisites for this course?

Delegates should have a fundamental understanding of machine learning concepts, familiarity with Kubernetes, and experience in programming, ideally with Python, to effectively engage with the course material.

Who should attend this course?

This course is ideal for data scientists, machine learning engineers, DevOps professionals, and IT practitioners interested in leveraging Kubernetes for machine learning workflows and enhancing their skill set.

What is the goal of Kubeflow?

The primary goal of Kubeflow is to simplify and accelerate the deployment of machine learning models, providing tools and frameworks that promote scalability, reproducibility, and collaboration.

What are the benefits of Kubeflow?

Kubeflow enables easier management of machine learning models, efficient resource utilisation, seamless integration with Kubernetes, and enhanced collaboration among data scientists, fostering a robust machine learning environment.

What is the purpose of the Kubeflow pipeline?

Kubeflow pipelines provide a framework for building, deploying, and managing end-to-end machine learning workflows, allowing users to automate and monitor experiments while ensuring reproducibility.

What will I learn in this Kubeflow Training Course?

Participants will learn how to deploy Kubeflow on Kubernetes, manage pipelines, utilise various components like Katib and training operators, and implement best practices for machine learning workflows.

What companies actively recruit professionals certified in Kubeflow Training?

Numerous technology companies, cloud service providers, and enterprises leveraging machine learning actively seek Kubeflow-certified professionals, recognising the growing demand for expertise in cloud-native machine learning solutions.

How popular is the Kubeflow Training in Milton Keynes?

Kubeflow training is gaining traction in the United Kingdom as organisations increasingly adopt cloud-native machine learning solutions, reflecting a growing interest in modernising machine learning practices.

What is KATIB?

Katib is a Kubernetes-native hyperparameter tuning framework within Kubeflow that automates the process of finding the optimal hyperparameters for machine learning models to enhance performance.

How to secure a Cluster using Kubeflow?

Securing a Kubeflow cluster involves implementing Kubernetes RBAC for access control, using network policies to restrict traffic, and ensuring data encryption both at rest and in transit.

What are some ways to troubleshoot using Kubeflow?

Troubleshooting in Kubeflow can involve examining logs, monitoring resource utilisation, using the Kubeflow dashboard for insights, and checking the status of pipeline runs to identify issues.

What tools will I get access to in Kubeflow Training?

Delegates will gain access to various tools such as Jupyter Notebooks, Katib for hyperparameter tuning, Pipelines for workflow management, and various Kubernetes tools for orchestration.

What are some operators in Kubeflow?

Operators in Kubeflow include training operators for various frameworks like TensorFlow, PyTorch, and MXNet, enabling seamless integration and management of machine learning workloads.

How does multi-user isolation work?

Multi-user isolation in Kubeflow is achieved through namespace segmentation in Kubernetes, allowing different users to work in isolated environments while sharing the underlying infrastructure.

What are some fundamentals of Kubeflow?

Fundamentals of Kubeflow include understanding Kubernetes concepts, building and deploying machine learning pipelines, managing datasets, and leveraging tools for training and tuning models.

How do organisations benefit from Kubeflow?

Organisations benefit from Kubeflow by improving collaboration between data science and operations teams, enhancing the scalability of machine learning models, and accelerating time-to-market for AI solutions.

Difference between TensorFlow and Kubeflow?

TensorFlow is a machine learning framework, while Kubeflow is a platform for deploying and managing machine learning workflows on Kubernetes, allowing the use of TensorFlow along with other tools.

How to run a Kubeflow pipeline?

To run a Kubeflow pipeline, users create a pipeline definition using Python, deploy it to the Kubeflow dashboard, and execute it while monitoring the progress and results through the interface.

What job opportunities will I get on completing the Kubeflow training?

Completing Kubeflow training opens up job opportunities such as machine learning engineer, data engineer, DevOps specialist, and cloud engineer, all focused on cloud-native solutions.

What is the average salary that one can expect on completing the Kubeflow course?

The average salary for professionals skilled in Kubeflow can range widely, typically from £50,000 to £90,000 annually, depending on experience and specific job roles.

How popular is the Kubeflow certification in Milton Keynes?

Kubeflow certification is becoming increasingly popular in Milton Keynes as organisations seek qualified professionals to support their machine learning initiatives and cloud adoption strategies.

How can I register for the course?

To register for the course, visit The Knowledge Academy's website, navigate to the course page, and click on the registration button. Fill in the required details, select your preferred schedule, and complete the payment process.

What is the cost/training fees for Kubeflow Training in Milton Keynes?

The training fees for Kubeflow Trainingin Milton Keynes starts from £3995

Which is the best training institute/provider of Kubeflow Training in Milton Keynes?

The Knowledge Academy is the Leading global training provider for Kubeflow Training.

What are the best DevOps Certification courses in Milton Keynes?

Please see our DevOps Certification courses available in Milton Keynes

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