Linkedin – Google Cloud Professional Machine Learning Engineer Cert Prep

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  • Linkedin – Google Cloud Professional Machine Learning Engineer Cert Prep

    Free Download Linkedin – Google Cloud Professional Machine Learning Engineer Cert Prep


    Released: 03/2025
    Duration: 7h 7m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 0.97 GB
    Level: Advanced | Genre: eLearning | Language: English
    Earning the Google Cloud Professional Machine Learning Engineer certification confirms that you're able to build, evaluate, productionize, and optimize AI solutions by using Google Cloud capabilities and knowledge of conventional ML approaches. In this course, Noah Gift prepares you for the certification, starting with an

    Overview

    of the exam—including the format of the exam, the time it should take, and how and where you can take the exam. Noah then dives into the six sections of the exam, covering what you need to know аbout: architecting low-code ML solutions; collaborating within and across teams to manage data and models; scaling prototypes into ML models; serving and scaling models; automating and orchestrating ML pipelines; and monitoring ML solutions.

Linkedin – Google Cloud Professional Machine Learning Engineer Cert Prep

Free Download Linkedin – Google Cloud Professional Machine Learning Engineer Cert Prep


Released: 03/2025
Duration: 7h 7m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 0.97 GB
Level: Advanced | Genre: eLearning | Language: English
Earning the Google Cloud Professional Machine Learning Engineer certification confirms that you're able to build, evaluate, productionize, and optimize AI solutions by using Google Cloud capabilities and knowledge of conventional ML approaches. In this course, Noah Gift prepares you for the certification, starting with an

Overview

of the exam—including the format of the exam, the time it should take, and how and where you can take the exam. Noah then dives into the six sections of the exam, covering what you need to know аbout: architecting low-code ML solutions; collaborating within and across teams to manage data and models; scaling prototypes into ML models; serving and scaling models; automating and orchestrating ML pipelines; and monitoring ML solutions.


Homepage:
https://www.linkedin.com/learning/google-cloud-professional-machine-learning-engineer-cert-prep


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