Smart Analytics, Machine Learning and AI on Google Cloud

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform.
Course info
Level
Intermediate
Updated
Jan 26, 2021
Duration
1h 40m
Table of contents
Introduction
Introduction to Analytics and AI
Prebuilt ML model APIs for Unstructured Data
Big Data Analytics with Cloud AI Platform Notebooks
Productionizing Custom ML Models
Custom Model building with SQL in BigQuery ML
Custom Model Building with Cloud AutoML
Summary
Description
Course info
Level
Intermediate
Updated
Jan 26, 2021
Duration
1h 40m
Description

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.

About the author
About the author

Build, innovate, and scale with Google Cloud Platform.

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