Artificial Intelligence & Data Science
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Art and Science of Machine Learning

Course Cover

5

(8)

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Course Features

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Duration

19 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Teaching Type

Self Paced

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Video Content

19 hours

Course Description

This course demonstrates a real-world, practical approach to ML workflow. This course includes a case study of an ML team faced with multiple ML business needs. This team will need knowledge about the tools required for data management and governance as well as the best method to preprocess data. BigQuery can be used to preprocess data.

Three options are available to the team for creating machine learning models that can be used in specific cases. This course will explain why AutoML, BigQueryMLMLML and custom training are used to achieve their goals. This course provides an in-depth look at custom training. This course covers custom training needs, such as storage and loading large datasets, code structure and exporting a trained computer.

This will enable you to create a machine learning model that can be used for training. It can also be used to build containers images using very little knowledge about Docker.

This case study discusses hyperparameter tuning using Vertex Vizier and how it can increase model performance. In this section, we will discuss model improvement. We will be discussing regularization, sparsity, and other important concepts. The discussion ends with model monitoring and prediction and how VertexAI can help manage ML-models.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Describe data management, governance, and preprocessing options

Identify when to use Vertex AutoML, BigQuery ML, and custom training

Implement Vertex Vizier Hyperparameter Tuning

Explain how to create batch and online predictions, setup model monitoring, and create pipelines using Vertex AI

Course Instructors

Google Cloud Training

Instructor

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an ef...

Course Reviews

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