Kubeflow Courses and Certifications

KubeFlow Bootcamp

234 ratings at Udemy

Learn how to use Kubeflow for Machine Learning at scale on Google Cloud!

• Udemy
• 8 hours 10 minutes
• On-Demand
• Paid Course

Introduction to AI/ML Toolkits with Kubeflow

Learn about Kubeflow, the open source, CNCF-backed, Kubernetes-native, scalable, and portable machine learning toolkit.

• edX
• 10 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Introducing Kubeflow for Machine Learning and AI on Kubernetes

Explore Kubeflow for seamless machine learning model deployment, from laptop to production. Learn about its components, scalability benefits, and integration with tools like TensorFlow and Apache Spark.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Introduction to KubeFlow: Using and Use Cases

Explore KubeFlow for machine learning on Kubernetes, covering components, use cases, and a practical recommender system example with collaborative filtering and TensorFlow.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Hyperparameter Tuning Using Kubeflow

Explore automated machine learning with Katib, a Kubernetes-native platform for hyperparameter tuning and neural architecture search, enhancing model performance efficiently.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Introducing Kubeflow with TensorFlow and Apache Spark

Explore Kubeflow's role in streamlining machine learning workflows, from model development to production deployment on Kubernetes, with insights on scalability and integration with TensorFlow and Apache Spark.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Build a Reproducible ML Workflow with Kubeflow Pipelines

Learn to create reproducible machine learning workflows using Kubeflow Pipelines, enhancing efficiency and scalability in ML projects with Google's open-source platform.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Hardening Kubeflow Security for Enterprise Environments

Learn about Kubeflow security vulnerabilities, best practices, and improvements for enterprise environments. Gain insights on addressing unauthorized access, user impersonation, and data protection in MLOps platforms.

• YouTube
• 41 minutes
• On-Demand
• Free Video

The Future of Reproducible Research - Powered by Kubeflow

Explore the future of reproducible research using Kubeflow, an open-source platform that streamlines data science workflows and enhances scientific collaboration through easily shareable and replicable pipelines.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Component Registry for Kubeflow Pipelines

Explore a component registry for Kubeflow Pipelines, enhancing ML workflow collaboration on Kubernetes. Learn how shared components can streamline common tasks and improve efficiency in machine learning projects.

• YouTube
• 29 minutes
• On-Demand
• Free Video

A Deep Dive into Kubeflow Pipelines

Explore Kubeflow Pipelines' architecture and components for executing cloud-native ML workflows on Kubernetes. Gain insights into the platform's inner workings and integration of ML pipeline elements.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Rawkode Academy

Introduction to Kubeflow and Machine Learning on Kubernetes

Comprehensive introduction to Kubeflow 1.3, covering its new features and guiding users through running data science workloads on Kubernetes. Includes hands-on examples and practical deployment techniques.

• YouTube
• 2 hours 10 minutes
• On-Demand
• Free Video

Machine Learning at Scale Using KubeFlow on AWS

Explore scalable machine learning architecture using Kubeflow on AWS, featuring hands-on demos of distributed storage and Kubernetes-based ML toolkit implementation.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Transforming Jupyter Notebooks to Reproducible Machine Learning Pipelines with Kale

Learn to convert Jupyter notebooks into scalable Kubeflow pipelines using Kale, enabling seamless deployment of ML workflows on Kubernetes for improved reproducibility and efficiency.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Jet Energy Corrections with GNN Regression using Kubeflow at CERN

Explore how Kubeflow enables graph neural network-based jet energy corrections at CERN's Large Hadron Collider, improving particle physics research through scalable machine learning workflows.

• YouTube
• 24 minutes
• On-Demand
• Free Video