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Google Cloud Professional Machine Learning Engineer Cert Prep: 5 Automating and Orchestrating ML Pipelines/ with Noah Gift

LinkedIn Learning Available online

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Format:
Video
Author/Creator:
Gift, Noah, speaker.
Contributor:
linkedin.com (Firm)
Language:
English
Genre:
Instructional films.
Educational films.
Physical Description:
1 online resource
Place of Publication:
Carpenteria, CA: linkedinchescom, 2023.
System Details:
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Pluginches JavaScript and cookies must be enabled. A broadband Internet connection.
Summary:
Learn about automating and orchestrating ML pipelines in preparation for the Google Professional Machine Learning Engineer certification exam.
Earning the Google Professional Machine Learning Engineer certification demonstrates your ability to design, build, and productionize machine learning models to solve business challenges using Google Cloud technologies, and knowledge of proven ML models and techniques. In this fifth course in the certification prep series, instructor Noah Gift covers core concepts relating to automating and orchestrating ML pipelines. Noah explains how to design and implement training pipelines, including how to engineer prompts for Google BigQuery with ChatGPT4. Then, learn about implementing serving pipelines, as Noah explains some of the characteristics of GPU-enabled Docker containers, gives a Rust PyTorch microservice walkthrough, and demos a Rust pre-trained PyTorch microservice.
Participant:
Presenter: Noah Gift
Notes:
6/20/2023
Access Restriction:
Restricted for use by site license.

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