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How Google does Machine Learning

Learn Google's approach to machine learning, from ML fundamentals to implementing AI-first solutions using Vertex AI Platform and best practices.

Learn Google's approach to machine learning, from ML fundamentals to implementing AI-first solutions using Vertex AI Platform and best practices.

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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How Google does Machine Learning

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

4,191

Audit For Free

What you'll learn

  • Describe Vertex AI Platform and AutoML capabilities

  • Implement machine learning best practices on Google Cloud

  • Leverage Google Cloud tools for ML development

  • Articulate Responsible AI principles and practices

  • Build a data strategy around machine learning

Skills you'll gain

Machine Learning
Google Cloud Platform
Vertex AI
AutoML
Responsible AI
BigQuery
API Integration
Data Strategy
ML Implementation
Inclusive ML

This course includes:

2.6 Hours PreRecorded video

6 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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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 8 modules in this course

This course introduces learners to Google's approach to machine learning and AI. Students learn how to leverage Vertex AI Platform to build, train, and deploy AutoML models without extensive coding. The curriculum covers the five phases of implementing machine learning solutions, best practices for ML on Google Cloud, and responsible AI development. Through hands-on labs and practical examples, participants gain understanding of how to effectively implement ML solutions while considering ethical implications and biases in AI systems.

Introduction to Course and Series

Module 1 · 3 Minutes to complete

What It Means to be AI-First

Module 2 · 1 Hours to complete

How Google Does ML

Module 3 · 48 Minutes to complete

Machine Learning Development with Vertex AI

Module 4 · 5 Hours to complete

Machine Learning Development with Vertex Notebooks

Module 5 · 27 Minutes to complete

Best Practices for Implementing Machine Learning on Vertex AI

Module 6 · 19 Minutes to complete

Responsible AI Development

Module 7 · 58 Minutes to complete

Summary

Module 8 · 1 Hours 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.

How Google does Machine Learning

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

4,191

Audit For Free

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.