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Machine Learning in the Enterprise

Master enterprise ML workflows using Google Cloud tools, from data management to model deployment with Vertex AI and BigQuery ML.

Master enterprise ML workflows using Google Cloud tools, from data management to model deployment with Vertex AI and BigQuery ML.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning on Google Cloud Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Machine Learning in the Enterprise

This course includes

19 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,029

What you'll learn

  • Describe data management and governance options

  • Implement Vertex AutoML and BigQuery ML solutions

  • Use Vertex Vizier for hyperparameter tuning

  • Create batch and online predictions with Vertex AI

  • Develop and manage ML pipelines

Skills you'll gain

TensorFlow
Machine Learning
Cloud Computing
Vertex AI
BigQuery ML
AutoML
Data Management
MLOps
Model Monitoring
Pipeline Development

This course includes:

2.5 Hours PreRecorded video

6 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 10 modules in this course

This course provides a comprehensive look at implementing machine learning solutions in enterprise environments using Google Cloud tools. Students learn about data management and governance using Feature Store, Data Catalog, and Dataplex, along with various preprocessing options. The curriculum covers different approaches to building ML models including AutoML, BigQuery ML, and custom training, with hands-on experience in Vertex AI for model deployment, monitoring, and pipeline creation.

Introduction

Module 1 · 1 Minutes to complete

Understanding the ML Enterprise Workflow

Module 2 · 23 Minutes to complete

Data in the Enterprise

Module 3 · 1 Hours to complete

Science of Machine Learning and Custom Training

Module 4 · 2 Hours to complete

Vertex Vizier Hyperparameter Tuning

Module 5 · 3 Hours to complete

Prediction and Model Monitoring Using Vertex AI

Module 6 · 2 Hours to complete

Vertex AI Pipelines

Module 7 · 5 Hours to complete

Best Practices for ML Development

Module 8 · 20 Minutes to complete

Course Summary

Module 9 · 1 Hours to complete

Series Summary

Module 10 · 22 Minutes to complete

Fee Structure

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Machine Learning in the Enterprise

This course includes

19 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,029

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.