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How to build and deploy your first AI/ML model on Ubuntu

Learn how to get started with AI/ML on Ubuntu with this webinar that will walk you through running a Kaggle experiment on Kubeflow on Microk8s on Ubuntu. These highly reproducible instructions can be used for any machine learning exercise, in addition to any Kaggle competitions. You’ll be able to run your experiments locally or in the cloud.

In this webinar, join Canonical’s Kubernetes Product Manager Carmine Rimi for a demo with instructions for everything from Ubuntu, with multiple examples of how to get an AI/ML environment on Ubuntu environment up and running.

At the end of the exercise, you’ll end up with a summary of commands needed to quickly and efficiently launch your machine learning environment.
Recorded Oct 17 2018 49 mins
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Presented by
Carmine Rimi
Presentation preview: How to build and deploy your first AI/ML model on Ubuntu

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  • Using Kubernetes at the Edge - architecture and tools for edge clouds and edge d Jul 10 2019 4:00 pm UTC 60 mins
    Carmine Rimi - Ubuntu Product Manager
    Edge clouds and devices are one of the fastest growth segments for cloud computing. This webinar will dive into the benefits of using Kubernetes as part of your edge strategy - for both edge clouds and edge devices.

    We’ll also explore use cases, architecture, and tools that will help you at every stage of your development lifecycle - from development to production deployments at scale. Microk8s and Charmed Kubernetes will be explored in sufficient detail to get you started with Kubernetes on Ubuntu.
  • An guide to edge computing Jul 3 2019 4:00 pm UTC 60 mins
    Galem Kayo - Ubuntu Product Manager
    Put simply, edge computing is the method of processing data where it is being generated, at the edge of a network, allowing for real time data-processing without latency as opposed to sending it to a data centre. Since these ‘edge devices’ are integrated to the physical world and interact with people, it can be said that the edge is the physical location where things and people connect to the cloud.

    The drive to edge computing has been born out of necessity as a result of the huge amounts of data being generated by devices. With the advancement of ‘smart-tech’ generating vast amounts of data daily, edge computing is here to stay and will continue to provide cost effective security assurances, speed of compute and scalability for businesses.

    Join our upcoming webinar hosted by Galem Kayo, Ubuntu Product Manager to understand what is driving businesses to process their data at the edge and how you can add an edge computing layer to your business infrastructure.
  • How to start and progress with an AI program Recorded: Jun 19 2019 69 mins
    Carmine Rimi - Ubuntu Product Manager & Al Kari - Manceps
    Whether you’re exploring what AI can do for your business and how to get started; have developed machine learning models you’re looking to deploy in production at scale; want to optimise your models for performance, audit your neural network for adversarial attacks or orchestrate your data pipelines, this webinar will provide an overview of what you need to achieve your goals.

    With data often described as the new electricity powering the 4th industrial revolution, and many leading companies falling behind innovative newcomers, we will discuss how you can maximise the value of your data, and where to use transfer learning or find more data when needed to train models for accurate predictions.

    In this webinar you will also learn:

    1. Which AI solutions are ready for production and for which applications.

    2. About open-source state-of-the-art frameworks and pre-trained models ready to be fine-tuned and deployed with minimal effort to realise your intelligent automation objectives.

    3. About current advancements and limitations in a technology moving at an unprecedented pace, powered by big data, advanced algorithms and infinite cloud resources.

    4. How you can manage change and prepare for the impact to your people.
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    1) Key technology areas, highlighting some of the popular implementations.

    2) Deployment diagrams, showing several models for how the technology can be deployed

    3) Getting Started tools, including reference tools in GitHub that can be used for experimentation

    4) Demo of using the reference tools - due to time constraints, this will be similar to cooking shows - we'll demonstrate the start, and the end.

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  • Connected cars: addressing risk and complexity with software Recorded: May 30 2019 60 mins
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    Join Canonical Product Director Stephan Fabel and Ubuntu Product Managers to discuss everything new in Ubuntu 19.04 ‘Disco Dingo'.


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    Alongside these updates Ubuntu 19.04 contains productivity improvements focussed on eliminating friction on existing features and enabling enterprises to operate at speed and scale.
  • How Charmed OpenStack is decreasing common security concerns Recorded: Apr 24 2019 35 mins
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    Learn how Canonical's approach to O7k allows implementation of advanced security features while not impacting the ability to upgrade and LCM the underlying codebase.
  • AI, ML, & Ubuntu: Everything you need to know Recorded: Apr 10 2019 48 mins
    Canonical
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    In this webinar, join Canonical’s Kubernetes Product Manager Carmine Rimi for:
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    2) Deployment diagrams, showing several models for how the technology can be deployed

    3) Getting Started tools, including reference tools in GitHub that can be used for experimentation

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    Attend this webinar to learn:

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    - About real-world OpenStack migration stories

    - Tactics to cut down overall deployment time for your project using Canonical
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  • Live at: Oct 17 2018 4:00 pm
  • Presented by: Carmine Rimi
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