Published Apr 18, 2023

671: Cloud Machine Learning — with Kirill Eremenko and Hadelin de Ponteves

Jon Krohn engages with Kirill Eremenko and Hadelin de Ponteves to delve into the significance of cloud skills for data scientists, the CloudWolf educational platform, and AWS services, highlighting how mastering cloud computing can advance careers and optimize data workflows.
Episode Highlights
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Episode Highlights

  • Educational Pathways

    Kirill Eremenko and Hadelin de Ponteves highlight the importance of building a dedicated educational platform for cloud computing. They explain that their new platform, CloudWolf, offers more flexibility and community engagement compared to traditional platforms like Udemy 1. Kirill mentions that CloudWolf will include various resources such as study guides, exam samples, and labs to help students prepare for AWS certification 2.

    We're building it up. We're going to be adding more and more things. This is this like when the podcast is live, this is literally the first week that it is available.

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    The platform aims to create a supportive community for learners to grow together and achieve their certification goals.

       

    Overcoming Complexity

    Jon Krohn and his guests discuss the initial complexity of learning cloud computing and how to simplify it. Kirill and Hadelin acknowledge that while cloud computing can seem complex at first, their educational content aims to make it straightforward 3. They believe that with dedicated study, learners can achieve AWS certification in just 21 days 3.

    At the beginning it can seem quite complex, but we make the complex simple. We've done that with artificial intelligence, so there is no reason why we shouldn't do it for the cloud.

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    Jon emphasizes that mastering cloud skills can significantly broaden the impact data scientists can make in their careers 4.

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