AI, ML, & Ubuntu: Everything you need to know

AI and ML adoption in the enterprise is exploding from Silicon Valley to Wall Street. Ubuntu is the premier platform for these ambitions — from developer workstations, to racks, to clouds and to the edge with smart connected IoT. One of the joys that come with new developer trends are a plethora of new technologies and terminologies to understand.

In this webinar, join Canonical’s Kubernetes Product Manager Carmine Rimi for:

  • An introduction to some of the key concepts in Machine Learning
  • A look into some examples of how AI applications and their development are reshaping company’s IT
  • A deep dive into how enterprises are applying devops practices to their ML infrastructure and workflows
  • An introduction to Canonical AI / ML portfolio from Ubuntu to the Canonical Distribution of Kubernetes and and how to get started quickly with your project

And in addition, we’ll be answering some of these questions:

  • What do Kubeflow, Tensorflow, Jupyter, and GPGPUs do?
  • What’s the difference between AI, ML and DL?
  • What is an AI model? How do you train it? How do you develop / improve it? How do you execute it?

And finally, we’ll be taking the time to answer your questions in a Q&A session

Register for webinar

Ubuntu cloud

Ubuntu offers all the training, software infrastructure, tools, services and support you need for your public and private clouds.

Newsletter signup

Select topics you’re
interested in

In submitting this form, I confirm that I have read and agree to Canonical’s Privacy Notice and Privacy Policy.

Related posts

Declarative vs Imperative: DevOps done right

Deciding whether to automate workloads, while designing your ICT infrastructure, is trivial. It’s 2019 and automation is everywhere around. However, deciding which DevOps paradigm to choose and which tool to use, may not be that obvious. …

Charmed Kubernetes update for upstream API server vulnerability

An upstream Kubernetes vulnerability (CVE-2019-11247) has been identified where the API server mistakenly allows access to a cluster-scoped custom resource, if the request is made as if the resource were namespaced. Authorisations for the resource accessed …

A shift to the Linux app store experience

Linux software developers historically have faced a number of challenges including fragmentation, distribution complexity and a lack of metrics into the success of their applications. Once an application is built, the journey does not end there …