Buy Now AED 170.99 + VAT

Monthly Subscription Starting at AED 99 + VAT

Machine Learning in the Enterprise
  • Level Professional
  • المدة 20 ساعات hours
  • الطبع بواسطة Google Cloud
  • Offered by

عن

This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.

الوحدات

Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Course introduction

Understanding the ML Enterprise Workflow: Module Introduction and Overview

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

1 Assignment

  • Understanding the ML Enterprise Workflow

2 Videos

  • Introduction
  • Overview of an ML enterprise workflow

1 Readings

  • Resources: Understanding the ML Enterprise Workflow

Data in the Enterprise: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Tools for data management and governance

    • 2 Videos
Show info about module content

2 Videos

  • Feature Store
  • Data Catalog

Pre-GA tools

    • 2 Videos
Show info about module content

2 Videos

  • Dataplex
  • Analytics Hub

Data preprocessing options

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

1 Assignment

  • Data in the Enterprise

1 External Tool

  • Lab: Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep

4 Videos

  • Data preprocessing options
  • Dataprep
  • Lab intro: Exploring and Creating an Ecommerce Analytics Pipeline with Dataprep
  • Coursera: Getting Started with Google Cloud and Qwiklabs

1 Readings

  • Resources: Data in the Enterprise

Science of Machine Learning and Custom Training: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

The Art and Science of ML

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

1 Assignment

  • Science of Machine Learning and Custom Training

1 External Tool

  • Lab: Vertex AI: Qwik Start

6 Videos

  • The art and science of machine learning
  • Make training faster
  • When to use custom training
  • Training requirements and dependencies (part 1)
  • Training requirements and dependencies (part 2)
  • Training custom ML models using Vertex AI

2 Readings

  • Resources: Science of Machine Learning and Custom Training
  • Resources: The Science of Machine Learning

Vertex Vizier Hyperparameter Tuning: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Hyperparameter Tuning

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

1 Assignment

  • Vertex Vizier Hyperparameter Tuning

1 External Tool

  • Lab: Vertex AI: Hyperparameter Tuning

2 Videos

  • Vertex AI Vizier hyperparameter tuning
  • Lab intro: Vertex AI: Hyperparameter Tuning

1 Readings

  • Resources: Vertex Vizier Hyperparameter Tuning

Prediction and Model Monitoring Using Vertex AI: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Predictions and Model Monitoring

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

1 Assignment

  • Prediction and Model Monitoring Using Vertex AI

1 External Tool

  • Lab: Monitoring Vertex AI Models

3 Videos

  • Predictions using Vertex AI
  • Model management using Vertex AI
  • Lab intro: Monitoring Vertex AI Models

1 Readings

  • Resources: Prediction and Model Monitoring Using Vertex AI

Vertex AI Pipelines: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Prediction using Vertex AI pipelines

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

1 Assignment

  • Vertex AI Pipelines

2 External Tool

  • Lab: Introduction to Vertex AI Pipelines
  • Lab: Running Pipelines on Vertex AI 2.5

2 Videos

  • Prediction using Vertex AI pipelines
  • Lab intro: Vertex AI Pipelines

2 Readings

  • Lab Introduction and Walkthrough: Vertex AI pipeline
  • Resources: Vertex AI Pipelines

Best Practices for ML Development on Vertex AI: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Best Practices for ML Development on Vertex AI

    • 4 Videos
    • 1 Readings
Show info about module content

4 Videos

  • Best practices for model deployment and serving
  • Best practices for model monitoring
  • Vertex AI pipeline best practices
  • Best practices for artifact organization

1 Readings

  • Resources: Best Practices for ML Development on Vertex AI

Course Summary

    • 4 Readings
Show info about module content

4 Readings

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

Course Series Summary

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Series summary

1 Readings

  • Resource: Best practices summary

Auto Summary

"Machine Learning in the Enterprise" by Coursera is a professional-level course focused on the real-world application of the ML workflow through case studies. It covers essential tools for data management, governance, and preprocessing while exploring AutoML, BigQuery ML, and custom training for building models. The course spans 1200 minutes and is available with a Starter subscription, making it ideal for professionals in Data Science & AI.

Google Cloud Training
Instructor

Google Cloud Training