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Managing Machine Learning Projects with Google Cloud

Learn to lead ML projects, from identifying business value to implementing ethical AI solutions using Google Cloud tools.

Learn to lead ML projects, from identifying business value to implementing ethical AI solutions using Google Cloud tools.

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 Digital Transformation Using AI/ML with 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.

4.6

(3,637 ratings)

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Managing Machine Learning Projects with Google Cloud

This course includes

13 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Explore common machine learning business use cases

  • Assess ML project feasibility and business impact

  • Identify model building and evaluation requirements

  • Manage data quality and bias considerations

  • Implement ML projects successfully

Skills you'll gain

Machine Learning
Project Management
Google Cloud
AI Ethics
Data Strategy
AutoML
Business Analytics
Model Evaluation
Data Governance
Team Leadership

This course includes:

3.8 Hours PreRecorded video

6 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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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 empowers business professionals to lead machine learning projects without requiring technical expertise. Students learn to identify and assess ML opportunities, understand project requirements, and manage implementation effectively. The curriculum covers key aspects including data strategy, ethical AI considerations, team building, and creating a culture of innovation, with hands-on exposure to Google Cloud tools like AutoML, Vision API, and BigQuery ML.

Introduction

Module 1 · 17 Minutes to complete

Identifying business value for using ML

Module 2 · 1 Hours to complete

Defining ML as a practice

Module 3 · 1 Hours to complete

Building and evaluating ML models

Module 4 · 2 Hours to complete

Using ML responsibly and ethically

Module 5 · 2 Hours to complete

Discovering ML use cases in day-to-day business

Module 6 · 2 Hours to complete

Managing ML projects successfully

Module 7 · 2 Hours to complete

Summary

Module 8 · 8 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.

Managing Machine Learning Projects with Google Cloud

This course includes

13 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

3,637 ratings

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.