Machine Learning on Google Cloud with AutoML and VertexAI

Machine Learning on Google Cloud with AutoML and VertexAI, available at $64.99, has an average rating of 4.15, with 53 lectures, based on 56 reviews, and has 710 subscribers.

You will learn about 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. This course is ideal for individuals who are Python developers interested in working with AutoML on Google Cloud Vertex AI It is particularly useful for Python developers interested in working with AutoML on Google Cloud Vertex AI.

Enroll now: Machine Learning on Google Cloud with AutoML and VertexAI

Summary

Title: Machine Learning on Google Cloud with AutoML and VertexAI

Price: $64.99

Average Rating: 4.15

Number of Lectures: 53

Number of Published Lectures: 53

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: $199.99

Quality Status: approved

Status: Live

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.

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Google Cloud Account Setup

Chapter 2: Vertex AI/AutoML Overview

Lecture 1: VertexAI and AutoML Overview

Chapter 3: Text Data

Lecture 1: Text Data Introduction

Lecture 2: AutoML for Text Data

Chapter 4: Text Data Classification Model

Lecture 1: Introduction

Lecture 2: Objectives

Lecture 3: Understand Data

Lecture 4: Create Dataset

Lecture 5: Train the Model

Lecture 6: Deploy and test

Lecture 7: Code: Notebook to create the online prediction

Lecture 8: Code: Notebook to create the batch prediction

Chapter 5: Text Data Entity Extraction Model

Lecture 1: Introduction

Lecture 2: Objectives

Lecture 3: Create DataSet

Lecture 4: Train the Model

Lecture 5: Deploy and test

Lecture 6: Code: Notebook to create the batch prediction part 1

Lecture 7: Code: Notebook to create the batch prediction part 2

Chapter 6: Video Data

Lecture 1: Video Data Introduction

Lecture 2: AutoML for Video Data

Chapter 7: Video Data: Action Recognition Model

Lecture 1: Introduction

Lecture 2: Vertex AI AutoML for Action Recognition

Lecture 3: Understand Data

Lecture 4: Create Dataset

Lecture 5: Action Recognition Train the Model

Lecture 6: Code: Notebook to create batch prediction

Chapter 8: Tabular Data

Lecture 1: Introduction

Lecture 2: VertextAI Models for Tabular Data

Chapter 9: Time-series Forecasting model for Tabular Data

Lecture 1: Introduction

Lecture 2: Objectives

Lecture 3: Time-series Forecasting Methods

Lecture 4: Context Window and Forecasting Horizon

Lecture 5: Understand Data for Model Training

Lecture 6: Build Dataset and Train the Model

Lecture 7: Create Batch Prediction

Chapter 10: Image Data Classification Model

Lecture 1: Introduction

Lecture 2: VertexAI AutoML for Image Classification

Lecture 3: Data for Image Classification

Lecture 4: Build Dataset

Lecture 5: Train, Deploy and Test the Model

Chapter 11: Build Covid Detection Model: Image Classification Lab

Lecture 1: Lab Part1

Lecture 2: Lab Part2

Lecture 3: Lab Part3

Chapter 12: Object Detection in Images

Lecture 1: Introduction

Lecture 2: Build Dataset

Lecture 3: Train the Model

Chapter 13: APPENDIX: Getting Started on Google Cloud

Lecture 1: Understanding Google Cloud Storage

Lecture 2: Cloud Storage DEMO

Chapter 14: APPENDIX: Machine Learning Metrics

Lecture 1: Classification Metrics Overview – Part One

Lecture 2: Classification Metrics Overview – Part Two

Lecture 3: Classification Metrics Overview – Part Three

Instructors

Jose Portilla
Head of Data Science at Pierian Training

CloudMeta LLC
Cloud Consulting

Pierian Training
Data Science and Machine Learning Training

Rating Distribution

1 stars: 4 votes

2 stars: 4 votes

3 stars: 9 votes

4 stars: 19 votes

5 stars: 20 votes

Frequently Asked Questions

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