Machine Learning on Google Cloud with AutoML and VertexAI

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Jose Portilla,CloudMeta LLC

4:13:11

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1. Introduction

1.1 VertexAI Course.pdf

1. Introduction.mp4

01:39

2. Google Cloud Account Setup.mp4

06:59

2. Vertex AIAutoML Overview

1. VertexAI and AutoML Overview.mp4

05:03

3. Text Data

1.1 data claritin.csv

1.2 data happiness.csv

1.3 data ucaip ten dataset.zip

1. Text Data Introduction.mp4

01:45

2. AutoML for Text Data.mp4

00:36

4. Text Data Classification Model

1.1 data happiness.csv

1. Introduction.mp4

01:37

2. Objectives.mp4

00:37

3. Understand Data.mp4

02:58

4. Create Dataset.mp4

05:07

5. Train the Model.mp4

03:20

6. Deploy and test.mp4

04:15

7. Code Notebook to create the online prediction.mp4

08:50

8.1 Text Classification batch prediction.zip

8. Code Notebook to create the batch prediction.mp4

05:47

5. Text Data Entity Extraction Model

1.1 data ucaip ten dataset.zip

1. Introduction.mp4

04:48

2. Objectives.mp4

00:39

3. Create DataSet.mp4

03:36

4. Train the Model.mp4

02:15

5. Deploy and test.mp4

01:58

6.1 entity extraction batch prediction.zip

6. Code Notebook to create the batch prediction part 1.mp4

04:51

7. Code Notebook to create the batch prediction part 2.mp4

05:11

6. Video Data

1.1 data.zip

1. Video Data Introduction.mp4

01:24

2. AutoML for Video Data.mp4

00:21

7. Video Data Action Recognition Model

1.1 data.zip

1. Introduction.mp4

01:13

2. Vertex AI AutoML for Action Recognition.mp4

00:32

3. Understand Data.mp4

02:29

4. Create Dataset.mp4

04:00

5. Action Recognition Train the Model.mp4

03:20

6.1 Archive.zip

6. Code Notebook to create batch prediction.mp4

09:01

8. Tabular Data

1. Introduction.mp4

01:29

2. VertextAI Models for Tabular Data.mp4

02:23

9. Time-series Forecasting model for Tabular Data

1.1 2020 sales train.csv

1. Introduction.mp4

03:29

2. Objectives.mp4

01:04

3. Time-series Forecasting Methods.mp4

01:09

4. Context Window and Forecasting Horizon.mp4

02:23

5. Understand Data for Model Training.mp4

01:06

6. Build Dataset and Train the Model.mp4

07:43

7.1 2021 sales predict.csv

7. Create Batch Prediction.mp4

06:35

10. Image Data Classification Model

1. Introduction.mp4

02:40

2. VertexAI AutoML for Image Classification.mp4

00:35

3.1 dogs-vs-cats.zip

3. Data for Image Classification.mp4

00:21

4. Build Dataset.mp4

08:10

5. Train, Deploy and Test the Model.mp4

04:53

11. Build Covid Detection Model Image Classification Lab

1.1 Covid X-Ray Dataset.zip

1. Lab Part1.mp4

09:26

2. Lab Part2.mp4

08:29

3. Lab Part3.mp4

15:02

12. Object Detection in Images

1. Introduction.mp4

01:33

2. Build Dataset.mp4

10:26

3. Train the Model.mp4

07:05

13. APPENDIX Getting Started on Google Cloud

1. Understanding Google Cloud Storage.mp4

23:16

2. Cloud Storage DEMO.mp4

16:45

14. APPENDIX Machine Learning Metrics

1. Classification Metrics Overview - Part One.mp4

09:45

2. Classification Metrics Overview - Part Two.mp4

06:00

3. Classification Metrics Overview - Part Three.mp4

07:13

Description

Discover how to use AutoML on Google Cloud with Vertex AI

What You'll 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.

Who is this for?

Python developers interested in working with AutoML on Google Cloud Vertex AI

What You Need to Know?

Python programming experience

Cloud experience, preferably Google Cloud Console

More details

Description
Welcome to "Automated Machine Learning on Google Cloud with AutoML" â€” 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.
Who this course is for:
Python developers interested in working with AutoML on Google Cloud Vertex AI

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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, The New York Times, Credit Suisse, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.

CloudMeta LLC

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CloudMeta has over 10 years of experience for consulting cloud native software systems for some of the prestigious global organizations. They have been creating learning contents for university students and professionals for acquiring professional grade hands on knowledge on cutting edge technologies including Micro-services, DevOps, ServiceMesh, DataMesh, Cloud native applications and Terraform.

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