Azure ML Orchestration And Deployment - AI42 - S02 Ep. 07

There is always a challenge to create a DevOps solution for machine learning projects. In this session, an overview of the machine learning process will be delivered. Using Pipeline creates a workflow with speed, portability, and reusability, and we can focus on machine learning instead of infrastructure and automation. In this session, we learned how to create a Pipeline in three main authoring environments ( Azure ML designer, Automated ML and Notobook) and use the created REST API in a project.

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Ai Fortytwo
Ai Fortytwo
AI42 (AI is the answer to all your questions) is an organization that consists of a strong team of two AI MVPs (Microsoft Most Valuable Professional). Together we provide a valuable series of lectures to people who would like to start their career in the field of Data Science and Artificial Intelligence (AI).Our concept is to involve professionals in the field to contribute as speakers at our events, some of our approved speakers are employees of Microsoft. We provide topics which finally allows our students to get a deep, hands-on knowledge in mathematics, statistics, probability, data science and machine learning pipelines. With the help of these lectures our students learn the background required to build a Data Scientist career. The availability and responsibility of the tools and services we discuss during the sessions make our students build trust towards AI.Our streams are going to be available at different platforms: YouTube, Twitch, Facebook, and Twitter.YouTube: https://www.youtube.com/channel/UCYSVVM0ASUGDTeontl4pbxA/Twitch: https://www.twitch.tv/ai42Facebook: https://www.facebook.com/ai.fortytwoTwitter: https://twitter.com/aifortytwo
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