4.5  16 reviews on Coursera

Smart Analytics, Machine Learning, and AI on GCP

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data.
Course from Coursera
 2397 students enrolled
 en
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

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.

Smart Analytics, Machine Learning, and AI on GCP
Free
per course
Incentives
Shareable Certificate
100% online
Flexible deadlines
Intermediate Level
Approx. 11 hours to complete
English
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