Machine Learning on Google Cloud with AutoML and VertexAI (Udemy.com)
Discover how to use AutoML on Google Cloud with Vertex AI
Created by: Jose Portilla
Last updated October 2023
What you will learn
- Discover the potential and functionalities of Vertex AI and AutoML on the Google Cloud platform.
- Learn advanced techniques for processing and classifying vast amounts of textual data.
- Understand the intricacies of video data processing and gain proficiency in action recognition within video frames.
- Master the art of handling tabular data, including time-series forecasting, to predict future data trends.
- Grasp the fundamentals of image data classification, from understanding raw data to model deployment.
- Acquire hands-on experience by building a real-world Covid detection model using image classification.
- Navigate and implement your learnings with ease on the Google Cloud platform, thanks to our comprehensive guide.
- Achieve proficiency in object detection within images, transforming the way you perceive visual data.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.2 out of 5higher than 9% of them
- Reviews232#324 of 462 by number of reviews
- Length4.2 hoursshorter than 71% of them
- Last updatedOctober 2023earlier than 79% of them
Course Description
Welcome to "Automated Machine Learning on Google Cloud with AutoML" — a holistic course designed for enthusiasts eager to master the cutting-edge tools of Vertex AI and AutoML on the Google Cloud platform. This course seamlessly guides you through the vast and intricate realm of AI, ensuring both beginners and intermediates find valuable insights.
The journey begins with a comprehensive introduction to the world of AI, setting the stage for what's to come. As you progress, you'll delve into the Vertex AI and AutoML Overview, a module meticulously crafted to offer an enlightening look into these dynamic tools and their boundless potential.
Our specialized sections on Text Data unravel the art and science of processing and classifying vast textual information. Here, you'll learn not just the basics, but also advanced techniques, especially how to extract entities from text, offering invaluable insights into data.
For visual enthusiasts, our chapters on Video Data open a window to the intricate world of video processing. Beyond mere understanding, you'll venture into the action recognition model, discovering how to spot specific actions and nuances within video frames.
The course ensures you're not confined to one type of data. We branch into Tabular Data and time-series forecasting, giving you a robust understanding of structured data and the art of predicting future data points using historical trends.
Images, in today's digital age, speak louder than words. Our modules on Image Data Classification and Object Detection in Images guide you through the end-to-end process, from understanding raw image data to building, training, and deploying sophisticated classification models. Further enriching the learning experience, we have incorporated a hands-on lab module, guiding you to Build a Covid Detection Model using image classification.
Lastly, for those unfamiliar with the Google Cloud environment, our appendix serves as a torchbearer. The Getting Started on Google Cloud section is your handy guide, ensuring a smooth sail as you navigate and implement your learnings on the platform.
We invite you to enroll in this immersive journey. "Automated Machine Learning on Google Cloud with AutoML" isn't just a course; it's a pathway to mastering the future of AI, ensuring you stay ahead in the tech-driven world.
Instructor Details
- 4.2 Rating
232 Reviews
Jose Portilla
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
More courses by Jose Portilla
The Complete Python Bootcamp From Zero to Hero in Python (2025)
4.6 (566,376 Reviews)
Provider: Udemy
Time: 22.4h
$199.99
The Complete SQL Bootcamp: Go from Zero to Hero (2022)
4.7 (258,007 Reviews)
Provider: Udemy
Time: 8.9h
$159.99
Python for Data Science and Machine Learning Bootcamp (2020)
4.5 (160,681 Reviews)
Provider: Udemy
Time: 24.9h
$124.99
Python and Django Full Stack Web Developer Bootcamp (2019)
4.4 (52,248 Reviews)
Provider: Udemy
Time: 31.9h
$159.99
Spark and Python for Big Data with PySpark (2020)
4.6 (26,667 Reviews)
Provider: Udemy
Time: 10.6h
$27.99
Learning Python for Data Analysis and Visualization Ver 1 (2022)
4.5 (20,266 Reviews)
Provider: Udemy
Time: 21.1h
$27.99
More Data Science courses
Master statistics & machine learning: intuition, math, code (2026)
4.9 (3,077 Reviews)
Provider: Udemy
Time: 38.3h
$124.99
Reviews
By Rajat Kaushik on 11/12/2024
Its all practical knowledge and I applied on my project. Thank you!!
By Saurabh Sinha on 7/28/2024
Good explanation of different types of AutoML models with the code along and via console. This course is not four hours long. It requires minimum 4 days to complete with models trainings. Don't try in Paid GCP account you might get bill shock.
By Anugrah Shrivastava on 7/20/2024
That last section can be shifted to somewhere at the top. Rest was good
By Dumitru Rusu on 3/4/2024
Very low amount of details missing. At least you can do in 1h general assignments to Vertex AI and can directly create some low level quality models. Jose usually gives better content. At least all is very comprehensive.
By Slim Allani on 11/2/2023
Course matches its description
By Chintamani Modak on 11/1/2023
So far this course is going quite well for me . Course contents are quite interesting and very relevant for handling of variety of Industry use cases using Google AutoML no code approach. I believe that this course would also help me to prepare for Google Professional Machine Learning exam well by having enough knowledge about Vertex AI.
By Jeff White on 10/31/2023
Very hard to understand the instructor due to his thick accent
By Duc Thinh Duong on 10/5/2026
By SUVOJEET PAUL on 5/27/2026
By stalin goud on 2/14/2026
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 84 / 100












