--- title: Still figuring out what is Kubeflow? description: 'What is Kubeflow: Learn & understand the new technologies through pieces of training dedicated to both, individuals and enterprises.' url: https://canonical.com/blog/kubeflow-learn-understand?format=md --- 1. [Blog](https://canonical.com/blog) 2. Article --- [Andreea Munteanu](https://canonical.com/blog/author/munteanuandreea "More about Andreea Munteanu") 22 February 2021 # Still figuring out what is Kubeflow? [Kubeflow News](https://canonical.com/blog/tag/kubeflow-news) --- Share the article Kubeflow has become quite popular in the MLOps community as the tool that enables data science teams to automate their workflows from data preprocessing to model deployment on Kubernetes. However, with it’s made of many pieces, and while it keeps evolving, how can you effectively start using? ## Learn Kubeflow from online courses Started by Google, Kubeflow is a project which’s basics are presented on [Coursera](https://www.coursera.org/lecture/ml-pipelines-google-cloud/containerized-training-applications-FZbZr?utm_source=link&utm_medium=page_share&utm_content=vlp&utm_campaign=top_button) through a free training. During it, you will learn about * TensorFlow Extended (or TFX), which is Google’s production machine learning platform * How to automate your pipeline through continuous integration and continuous deployment * How to  manage ML metadata * How to  automate and reuse ML pipelines across multiple ML frameworks ## Kubeflow training for the whole team A possible fast-path, if you want to train all your team at once is Canonical’s offer of [4-day enterprise training](https://assets.ubuntu.com/v1/ee5a96f3-Kubeflow+Training+Curriculum.pdf). The training covers the following topics: * Machine Learning & Deep Learning Architecture + Introduction to [Charmed Kubeflow](https://charmed-kubeflow.io/), Canonical’s packaging of Kubeflow * Kubeflow Pipelines and components * MLOps and Advanced Topics * Labs *Note: Canonical’s full offer of services can be found* [*here*](https://ubuntu.com/ai/services) ## ML models in production Building models is a totally different story than putting them in production. This is why we found [this guide](https://neptune.ai/blog/deep-dive-into-ml-models-in-production-using-tfx-and-kubeflow) into how Tensorflow Extended (TFX) can help you move your models effectively, going through the whole process. The tutorial is not only a dry presentation of the steps that you need to follow, but a proper use case that you can have into production by the end of it. Source: [Tensorflow](http://tensorflow.org/) If you would like to know more about Kubeflow, learn and understand more than the basic, you can take a look at these resources as well: * [Tutorial: End-to-end Kubeflow on GCP](https://www.kubeflow.org/docs/gke/gcp-e2e/) * [#kubeflow101 weekend watch list](http://kubeflow-news.com/weekend-watch-list-2) * [Deploying Kubeflow](https://www.katacoda.com/kubeflow) [Get in touch Interested in running Ubuntu in your organization?](https://ubuntu.com/about/contact-us/form) ## Sign up for our newsletter Get the latest Canonical news and updates in your inbox. Work email: \*I agree to receive information about Canonical's products and services. By submitting this form, I confirm that I have read and agree to [Canonical's Privacy Policy](https://canonical.com/legal/dataprivacy). Sign up ## Share on --- ## Related posts [### Kubeflow operations guide](https://canonical.com/blog/kubeflow-operations-guide) Operating MLOps stacks alike Kubeflow in an increasingly multi-cloud world will be a key topic as this market and Kubernetes adoption grow. Kubeflow operations webinar To... [Andreea Munteanu](https://canonical.com/blog/author/munteanuandreea) 17 March 2021 [### Latest community videos](https://canonical.com/blog/latest-kubeflow-videos) MLOps community jewels The MLOps community continues to grow and gift us with great content and discussions around the topic! Here are a couple of interesting discussions – a... [Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos) 8 March 2021 [### SageMaker and Kubeflow: end-to-end ML workflows](https://canonical.com/blog/sagemaker-and-kubeflow) In June 2020, AWS introduced SageMaker components for Kubeflow. 6 months later, Antje Barth, Sr. developer advocate @AWS, presents how to build end-to-end ML workflows with... [Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos) 11 February 2021 [### Kubeflow impact from health to telco](https://canonical.com/blog/kubeflow-impact-from-health-to-telco) From Gitlab to Kubeflow in Healthcare ML Lifen, the french platform for healthcare products, recently switched from Gitlab’s jobs to Kubeflow Pipelines for continuous learning... [Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos) 8 February 2021