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 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 Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Vertex AI. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
Offered By
Google CloudAbout this Course
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Flexible deadlines
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Shareable Certificate
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Intermediate Level
Approx. 6 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Differentiate between ML, AI and Deep Learning.
Discuss the use of ML API’s on unstructured data.
Execute BigQuery commands from Notebooks.
Create ML models by using SQL syntax in BigQuery and without coding using AutoML.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 6 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Syllabus - What you will learn from this course
1 minute to complete
Introduction
1 minute to complete
1 video (Total 1 min)
12 minutes to complete
Introduction to Analytics and AI
12 minutes to complete
4 videos (Total 8 min)
1 hour to complete
Prebuilt ML model APIs for Unstructured Data
1 hour to complete
5 videos (Total 13 min)
1 hour to complete
Big Data Analytics with Notebooks
1 hour to complete
4 videos (Total 7 min)
1 hour to complete
Production ML Pipelines
1 hour to complete
6 videos (Total 9 min)
2 hours to complete
Custom Model building with SQL in BigQuery ML
2 hours to complete
6 videos (Total 12 min)
28 minutes to complete
Custom Model Building with AutoML
28 minutes to complete
6 videos (Total 24 min)
1 minute to complete
Summary
1 minute to complete
1 video (Total 1 min)
Reviews
- 5 stars69.02%
- 4 stars23.97%
- 3 stars4.43%
- 2 stars1.45%
- 1 star1.10%
TOP REVIEWS FROM SMART ANALYTICS, MACHINE LEARNING, AND AI ON GOOGLE CLOUD
by SSMar 7, 2021
Good structure and overview of things which can be accomplished in GCP Analytics
by MAMay 11, 2020
Content was fun and exciting but some exercises/graded labs inside this course are very unclear with the instructions and also took a long time to finish (model training).
by ACMar 30, 2021
Great hands one excercises to confirm few coding lines to do real world predictions
by VRFeb 28, 2021
Amazing to be part of this great learning Journey!! I am learning concepts and strong fundamentals to build a good foundation.
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