Share on LinkedIn Feed Twitter Facebook

Google Cloud Skills Boost
Your Learning progress might get lost. Sign in or Join to save your progress.
close

Smart Analytics, Machine Learning, and AI on Google Cloud

Course navigate_next Overview

Smart Analytics, Machine Learning, and AI on Google Cloud

magic_button Machine Learning Deep Learning Artificial Intelligence
These skills were generated by A.I. Do you agree this course teaches these skills?
7 hours Intermediate universal_currency_alt 25 Credits

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.

When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Badge for Smart Analytics, Machine Learning, and AI on Google Cloud
info
Course Info
Objectives
  • 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.
  • Create ML models without coding using AutoML.
Prerequisites
To benefit from this course, participants should have completed “Google Cloud Big Data and Machine Learning Fundamentals” or have equivalent experience.
Audience
Data Engineers
Available languages
English, español (Latinoamérica), 日本語, français, and português (Brasil)
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
What badges can I earn?
Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
Prefer learning with an instructor?
View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
Preview