Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. 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 by using Vertex AI.
Smart Analytics, Machine Learning, and AI on Google Cloud
Smart Analytics, Machine Learning, and AI on Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
38,858 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(1,234 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 6 hours
Learn at your own pace
87%
Most learners liked this course
What you'll 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 Vertex AI AutoML.
Skills you'll gain
Details to know
Shareable certificate
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Assessments
6 assignments
Taught in English
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There are 8 modules in this course
In this module, we introduce the course and agenda
What's included
1 video
This modules talks about ML options on Google Cloud
What's included
4 videos1 assignment
This module focuses on using pre-built ML APIs on your unstructured data
What's included
5 videos1 assignment1 app item
This module covers how to use Notebooks
What's included
4 videos1 assignment1 app item
This module covers building custom ML models and introduces Vertex AI and TensorFlow Hub
What's included
6 videos1 assignment1 app item
This module covers BigQuery ML
What's included
6 videos1 assignment2 app items
Custom model building with Vertex AI AutoML
What's included
6 videos1 assignment
This module recaps the topics covered in the course
What's included
1 video
Instructor
Instructor ratings
4.6 (158 ratings)Offered by
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4.6
1,234 reviews
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Showing 3 of 1234
MC
4
Reviewed on Aug 21, 2022
A general introduction for enabling data engineer start working on GCP
VR
5
Reviewed on Feb 28, 2021
Amazing to be part of this great learning Journey!! I am learning concepts and strong fundamentals to build a good foundation.
MA
5
Reviewed on Oct 23, 2020
This course helped me to do smart analytics, and in my current job I was able to apply Machine Learning easily on GCP, and I helped my team to the AI platform like experts.
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,