Skip to content
learning path

Machine Learning on Google Cloud Platform

Intermediate
Up to 2h 42m
1,703
5/5
Enroll
Enhance your skill setDevelop essential skills for thriving in real-world scenarios.
Stay focused, stay committedBoost your learning journey by enrolling: stay focused, consistent and achieve your goals with ease.
Earn a certificate of completionShow your skills and build your credibility when you include them in your resume and LinkedIn profile.

Training content

3
1
COURSE
Beginner
Duration: 32 minutes and 39 seconds
Introduction to Machine Learning on GCP
This lesson introduces machine learning on Google Cloud Platform.
COURSE
Intermediate
Duration: 56 minutes and 34 seconds
Building a Machine Learning Model
This lesson will demonstrate how to build and train your own custom machine learning model from scratch.
COURSE
Beginner
Duration: 38 minutes and 2 seconds
Introduction to Google Vertex AI
In this lesson, we will introduce Google Vertex AI.
EXAM
Duration: Up to 35 minutes
Final Exam: Machine Learning on Google Cloud Platform
Final Exam: Machine Learning on Google Cloud Platform

Course Description

This course will introduce you to Machine Learning. You will find out how to create and train your own models using a Jupyter notebook. Also, you will learn how create models using the Google Vertex AI platform. Even if you don't have any previous experience with machine learning, that's okay.

The first course explains the fundamentals. You will discover the differences between Artificial Intelligence, Machine Learning and Deep Learning. And you will learn how Machine Learning actually works, as well as the types of problems it can be used to solve.

The second course is a live demonstration that walks you through how to create your own machine learning model. You will learn how to set up your environment, import your data, create appropriate features, train your model, and make multiple refinements.

The third course shows you how you can simplify your Machine Learning tasks by using Vertex AI. The main exciting feature here is AutoML. This allows you to create high-quality models without writing any code. All you have to do is feed in your dataset.

Learning Objectives

  • Understand the basics of machine learning
  • Train and evaluate your own machine learning model
  • Improve the performance of your model
  • Create a managed dataset in Vertex AI
  • Use AutoML to train a model
  • Deploy a trained model using Vertex AI to make predictions


Intended Audience

  • Data Engineers
  • Machine Learning Engineers


Prerequisites

  • Google Cloud Platform account recommended (You can sign up for free trial)


Feedback

If you have thoughts or suggestions for this course, please contact Cloud Academy at support@cloudacademy.com.

Your certificate for this learning path

About the Author

Avatar
Daniel Mease, opens in a new tab
Google Cloud Content Creator
Students
49,952
Courses
57
Learning paths
21

Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.

Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.

When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.

Covered Topics

Machine Learning
Artificial Intelligence
Google Cloud Platform
Artificial Intelligence for Google