Smart Automation Can Scale Enough
August 19th, 2020
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Often people who know how to train and test Machine Learning models don't know how to deploy them to real production systems. That's a big knowledge gap that will prevent many from realizing the full value of their models. In this course we show how to not only train and test Machine Learning models, but also how to make the operational for real-world use. By the end of the course, you'll be able to deploy APIs that produce real-time predictions that you can request through HTTP calls.
Cloud Engineering uses properties from cloud services, such as scalability and elasticity, to provide you with cost-effective computational power and storage so that you can trade CapEx for lower OpEx to reduce your Total Cost of Ownserhip (TCO). These trade-offs, combined, provide you with the agility and speed you need to tackle the toughest problems. In this post you will learn the top cloud services for different use cases, and the trade-offs between them from a business perspective.