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Smart Analytics, Machine Learning, and AI on GCP

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Coursera
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Course Report - Smart Analytics, Machine Learning, and AI on GCP

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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Course Features

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Duration

8 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

8 hours

Course Description

Machine learning can help businesses extract more insight from their data. This course will demonstrate how machine learning can be integrated in data pipelines on Google Cloud Platform depending on the customization level. This course will cover AutoML. It can be modified with very little to no modification. This course introduces AI Platform Notebooks and BigQuery Machine Learning. These enable you to create more personalized machine learning capabilities. Kubeflow is also covered in this course. This course will provide hands-on experience in building machine learning models with QwikLabs, Google Cloud Platform.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Big Data Analytics with Cloud AI Platform Notebooks

Custom Model Building with AutoML

Custom Model building with SQL in BigQuery ML

ML options on Google Cloud Platform

Productionizing Custom ML Models

Course FAQs

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