Kubeflow Courses and Certifications

CNCF [Cloud Native Computing Foundation]

Elevating Kubeflow Spark Operator's Future: Best Practices and Enhancements

Discover advanced techniques for deploying Apache Spark on Kubernetes using Kubeflow Spark Operator, covering scaling strategies, multi-tenancy management, security best practices, and efficient upgrade procedures.

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

Canonical Ubuntu

Building Machine Learning Pipelines with Kubeflow

Master building ML pipelines using Kubeflow's components, from key considerations to best practices, and learn effective implementation strategies for scaling machine learning projects.

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

Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications

69 ratings at LinkedIn Learning

Learn the basics of leveraging Google Cloud Platform for building AI-based applications. Explore the tools that you can use today, as well as best practices for using them correctly.

• LinkedIn Learning
• 1 hour 20 minutes
• On-Demand
• Free Trial Available

Building End-to-end Machine Learning Workflows with Kubeflow

27 ratings at Pluralsight

In this course, you will learn how to effectively build end-to-end scalable, production grade machine learning workflows using Kubeflow.

• Pluralsight
• 3 hours 31 minutes
• On-Demand
• Free Trial Available

Databricks

KFServing - Model Monitoring with Apache Spark and Feature Store

Explore an open-source platform for scalable model serving and monitoring using KFServing, Hopsworks Feature Store, and Spark Streaming. Learn continuous data drift detection and see a live demonstration.

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

TensorFlow

Distributed TensorFlow - TensorFlow at O'Reilly AI Conference, San Francisco '18

Learn distributed TensorFlow training using Keras APIs, Kubeflow, and Kubernetes. Explore TensorFlow's architecture, set up clusters, and distribute models for efficient multi-GPU and multi-node performance.

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

Machine Learning Made Easy on Kubernetes - DevOps for Data Scientists

Explore DevOps for ML on Kubernetes: streamline data prep, model training, testing, and deployment using tools like Tensorflow, Kubeflow, and Pachyderm. Ideal for data scientists and SRE teams.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Fixing the Image Problems of the Web Using Machine Learning

Explore how machine learning can address web image issues, enhancing user experience and accessibility. Learn innovative techniques for optimizing visual content on the internet.

• YouTube
• 38 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Accelerating Machine Learning DevOps with Kubeflow

Explore Kubeflow for seamless machine learning deployment on Kubernetes. Learn to move models from development to production efficiently, enhancing ML DevOps practices.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

GOTO Conferences

One Does Not Simply Put Machine Learning into Production

Explore challenges and trade-offs in implementing machine learning in products, focusing on accuracy, cost, maintainability, and interpretability. Learn key considerations for successful ML integration.

• YouTube
• 37 minutes
• On-Demand
• Conference Talk

Devoxx

Machine Learning Using Kubeflow and Kubernetes

Explore machine learning workflows on Kubernetes using Kubeflow, covering deployment, training, inference, and advanced features like hyperparameter tuning and automated pipelines.

• YouTube
• 51 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Kubeflow for Machine Learning

Explore Kubeflow for ML: tooling, scaling Python with Dask/Ray, API comparisons, and insights on distributed computing. Learn from experts about advancements in machine learning infrastructure.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

GOTO Conferences

From Experimentation to Products - The Production Machine Learning Journey

Explore the journey from ML experimentation to production, covering MLOps, TensorFlow Extended, and pipeline architectures for scalable, maintainable machine learning applications.

• YouTube
• 38 minutes
• On-Demand
• Conference Talk

Mirantis

Kubeflow - Orchestrating AI Workflows on Kubernetes

Discover how Kubeflow simplifies AI workflow orchestration on Kubernetes. Learn its functionality, components, and benefits for scaling machine learning solutions, with a live demo on installation and setup.

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

Object Storage Driven Machine Learning Workloads

Explore how object storage enhances AI architectures, enabling scalable and high-performance ML workflows using S3 API. Learn to deploy MinIO and TensorFlow on Kubernetes for automated ML operations.

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