Kubeflow Training | DevOps in Teesside

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Kubeflow Training

Teesside

Kubeflow Training in Teesside equips learners to build machine learning pipelines effectively. They understand workflow orchestration, identify model deployment needs, use Kubernetes procedures, and follow ML rules. The training improves AI operations and strengthens scalable machine learning quality.

Gain a deep understanding of Kubeflow to customise resulting configuration files.
Get familiar with the Kubeflow pipelines for building and deploying ML workflow.
Acquire lucrative skills to run Kubeflow on Amazon Web Services and Google Cloud.

Dates & Prices

SALE LIVE

SAVE 60% BLACK FRIDAY

Kubeflow Training Black Friday Offers

Kubeflow Training is part of our Black Friday sale. Lock in 60% off now, choose online, classroom or onsite training, and schedule your course any time through 2027. Group bookings save up to 60%.

FROM £1,595 ~~£3,995~~ SAVE £2,400

Offer ends 27 November 2026

Kubeflow Training Overview

Course syllabus

Who it’s for

What’s included

FAQs

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

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 for 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 delegates 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 Courses Training is tailored for DevOps Practitioners, Data Engineers, and anyone seeking Devops Certification, as it equips them with the skills needed to navigate the increasingly data-driven world of DevOps.

In this 1-day Kubeflow Training offered by The Knowledge Academy, 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.

Kubeflow Training 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.

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.

Train Your Workforce

Looking for Kubeflow Training in-house or onsite training Teesside. We specialise in corporate group training and bulk bookings for organisations of all sizes. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling.

Approved supplier to 1,276,803 organisations

The Knowledge Academy is an approved training supplier to 1,276,803 organisations across the UK, Europe, North America and Australia, so most buyers can book through their existing purchasing process with no new supplier setup.

Our Teesside 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.

Nearby Locations include:

Wynyard
Claxton
Wolviston
Cowpen Bewley
Brierton
Newton Bewley
Norton
Carlton
Fairfield
Elton
Bradbury
Sedgefield
Thornaby
Winterton
Ingleby Barwick
Fishburn
Bishopton
Eaglescliffe
Hartburn
Mordon

Ways to take Kubeflow Training in Teesside

Classroom

Face to face with your trainer in a small group, at our Teesside venue in Teesside.

Best for: people who learn best in the room.

1 day · next Fri 13 Nov 2026

See classroom dates

Live Online

The same live course from home, with a live instructor and other delegates. Mirrors the classroom schedule.

Best for: starting soon, without travel.

1 day · next Thu 19 Nov 2026

See live online dates

Online Self-Paced

Study 24/7 on your own schedule through our learning platform, with progress tracking.

Best for: fitting study around work.

90 days of access

See self-paced options

Onsite

We bring the course to your team, at your premises, online or hybrid, on dates that suit you.

Best for: groups and bulk bookings.

Tailored to your team

Get a team quote

Kubeflow Training Schedule in Teesside

Classroom · Teesside Soonest

Next: Fri 13 Nov 2026

1 date in 2026 · 1 day · £2,995

View classroom dates

Live Online · Same trainer and syllabus

Next: Thu 19 Nov 2026

5 upcoming dates · 1 day · £3,995

View online dates

Classroom · Teesside

Online Instructor-Led

Online Self-Paced

Onsite

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Package deals for Kubeflow Training in Teesside

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 Teesside 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 Teesside?

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 Teesside?

Kubeflow certification is becoming increasingly popular in Teesside 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 Teesside?

The training fees for Kubeflow Training in Teesside starts from £3995

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

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

What are the best DevOps Certification courses in Teesside?

Please see our DevOps Certification courses available in Teesside

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Flexible delivery methods are available depending on your learning style.

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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