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How Google does Machine Learning
  • Level Foundation
  • Duration 11 hours
  • Course by Google Cloud
  • Offered by

About

This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You're introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it's important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.

Modules

Series Preview and Course Introduction

    • 2 Videos
Show info about module content

2 Videos

  • Course series preview
  • Course introduction

What it Means to be AI First: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Machine Learning on Google Cloud

    • 6 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • What it Means to be AI First

6 Videos

  • What is ML?
  • What problems can it solve?
  • Activity intro: Framing a machine learning problem
  • Activity solutions: Framing a machine learning problem
  • Infuse your apps with ML
  • Build a data strategy around ML

2 Readings

  • Activity: Framing a machine learning problem
  • Resources: What It Means to Be AI First

How Google Does Machine Learning

    • 7 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • How Google Does ML

7 Videos

  • Introduction
  • ML Surprise
  • The secret sauce
  • ML and business processes
  • The path to ML
  • A closer look at the path to ML
  • End of phases deep dive

1 Readings

  • Resources: How Google does ML

ML Development with Vertex AI: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Moving from Experimentation to Production

    • 1 Videos
Show info about module content

1 Videos

  • Moving from experimentation to production

Vertex AI

    • 7 Videos
    • 1 Readings
    • 2 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Machine Learning Development with Vertex AI

2 External Tool

  • Lab: Using an image dataset to train an AutoML model
  • Lab: Training an AutoML video classification model

7 Videos

  • Components of Vertex AI
  • Getting Started with Google Cloud Platform and Qwiklabs
  • Lab intro: Using an image dataset to train an AutoML model
  • Lab demo: Using an image dataset to train an AutoML model
  • Lab intro: Training an AutoML video classification model
  • Lab demo: Training an AutoML video classification model
  • Tools to interact with Vertex AI

1 Readings

  • Resources: Machine Learning Development with Vertex AI

ML Development with Vertex Notebooks: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

ML Development with Vertex Notebooks

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Machine Learning Development with Vertex Notebooks

1 Videos

  • Machine learning development with Vertex Notebooks

1 Readings

  • Resources: Machine Learning Development with Vertex Notebooks

Best Practices for Implementing Machine Learning on Vertex AI: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Best Practices for Implementing Machine Learning on Vertex AI

    • 3 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Best Practices for Implementing Machine Learning on Vertex AI

3 Videos

  • Best practices for machine learning development
  • Data preprocessing best practices
  • Best practices for machine learning environment setup

Responsible AI Development: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Machine Learning and Human Bias

    • 3 Videos
Show info about module content

3 Videos

  • Overview
  • Human biases lead to biases in ML models
  • Biases in data

Equality in Metrics and Data

    • 3 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Responsible AI Development

3 Videos

  • Evaluating metrics with inclusion for your ML system
  • Equality of opportunity
  • How to find errors in your dataset using Facets

1 Readings

  • Resources: Responsible AI Development

Course Summary

    • 4 Readings
Show info about module content

4 Readings

  • Summary
  • Resource: All quiz questions
  • Resource: All readings
  • Resource: All slides

Auto Summary

Discover how Google leverages Machine Learning in this foundational Data Science & AI course by Coursera. Over 660 minutes, you'll learn to solve problems with ML, implement best practices, and use Vertex AI for model deployment. Perfect for beginners, choose from Starter, Professional, or Paid subscriptions. Join now to understand ML phases and tackle biases effectively.

Google Cloud Training
Instructor

Google Cloud Training