Course information

Kubeflow Training Course Outline

Module 1: Getting Started

  • Introduction
  • Architecture
  • Installing Kubeflow

Module 2: Central Dashboard

  • Introduction to Central Dashboard
  • Customizing 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
  • Customize 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

Show moredowndown

Who should attend this Kubeflow Training Course?

The Kubeflow Course in Sacramento is designed for those who want to get better at streamlining their Machine Learning Workflows via Kubeflow, an open-source Machine Learning platform. This 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 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 in Sacramento 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 in Sacramento 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 offered by The Knowledge Academy in Sacramento, 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. Our highly professional instructors with years of experience in teaching technical DevOps 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 authorization 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 in Sacramento, 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.

Show moredowndown

What’s included in this Kubeflow Training Course?

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

Why choose us

Our Sacramento 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.

Sacramento is situated near central valley at the joining of the Sacramento River and the American River, as well as it being the capital city of California it is also the sixth largest city within California and is home to around 485,199 people within 2014. Sacramento also has a metropolitan population of an estimated 2,414, 783 in 2010 therefore ranking it in third place as the largest metropolitan population within California. Sacramento is also the seat to the government of Sacramento County, and America’s most diverse city as of Harvard University civil rights project in 2002. There are a number of different types of schools, which are public, private or independent, the independent schools within Sacramento include the Waldorf School and the Sacramento Country Day School which was run by the California Association of Independent Schools as opposed to being one of the Roman Catholic Independent schools. The Public schools include Natomas Unified School District, Twin Rivers Unified School District, Sacramento City Unified School District and Elk Grove Unified School District. Some of the Universities within the city include Sacramento State (California State University, Sacramento) and University of California. Sacramento State University plays a big part in the education of students, as of 2004 they enrolled roughly 22,555 undergraduates within the eight colleges it operates. There is also a few universities with campuses in Sacramento which include the McGeroge School of law – University of Pacific, National University, Western Seminary and the University of San Francisco. All of the Universities offer students different types of courses and degrees some of which include graduate, undergraduate, bachelors, masters and doctoral degrees. Subjects can also differ depending on the institution with regards to public health sciences, administration, project management, business, sciences, law, counselling, education, mathematics, engineering, arts, sports and many more. Sacramento also consists of different schools which practise religion, these being an Islamic school the Masjid Annur, Christian schools such as the Sacramento Adventist Academy and the Capital Christian School as well as a Jewish school which is the Shalom School.

Show moredown

Address

Sacremento, California

T: +1 7204454674

Ways to take this course

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

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

tailored_learning_experience

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.

team_building

Team building opportunity

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

monitor_progress

Monitor employees progress

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

What our customers are saying

Kubeflow Training | DevOps in Sacramento FAQs

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Operators in Kubeflow include training operators for various frameworks like TensorFlow, PyTorch, and MXNet, enabling seamless integration and management of machine learning workloads.
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.
Fundamentals of Kubeflow include understanding Kubernetes concepts, building and deploying machine learning pipelines, managing datasets, and leveraging tools for training and tuning models.
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.
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.
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.
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.
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.
Kubeflow certification is becoming increasingly popular in Sacramento as organisations seek qualified professionals to support their machine learning initiatives and cloud adoption strategies.
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.
The training fees for Kubeflow Trainingin Sacramento starts from $2295
The Knowledge Academy is the Leading global training provider for Kubeflow Training.
Show more down

Why choose us

icon

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.

icon

Many delivery methods

Flexible delivery methods are available depending on your learning style.

icon

High quality resources

Resources are included for a comprehensive learning experience.

barclays Logo
deloitte Logo
Thames Water Logo

"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

santander logo
bmw Logo
Google Logo

Looking for more information on DevOps Certification?

backBack to course information

Get a custom course package

We may not have any package deals available including this course. If you enquire or give us a call on +1 7204454674 and speak to our training experts, we should be able to help you with your requirements.

cross

BIGGEST
BLACK FRIDAY SALE!

red-starWHO WILL BE FUNDING THE COURSE?

close

close

Thank you for your enquiry!

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

close

close

Press esc to close

close close

Back to course information

Thank you for your enquiry!

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

close close

Thank you for your enquiry!

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