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Managing Machine Learning Projects
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Managing Machine Learning Projects

This course is part of AI Product Management.

Course Cost

Free course

Beginner

Skill Level

15 Hours

Self-paced Video lessons

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 AI Product Management 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.

4.8

15,196 Enrolled

English

4.8

15,196 Enrolled

English

What you'll learn

  • Identify valuable ML project opportunities

  • Apply data science process to organize projects

  • Make key ML system design decisions

  • Lead projects from concept to production

  • Manage model lifecycle and maintenance

Skills you'll gain

Machine Learning
Project Management
Data Science Process
ML System Design
Model Lifecycle
Team Leadership
Technology Selection
Data Management
System Monitoring
Production Deployment

This course includes:

4.2 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Certificate
Certificate

Get a Completion Certificate

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

CREATED BY

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PROVIDED BY

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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 5 modules in this course

This comprehensive course teaches the practical aspects of managing machine learning projects from inception to deployment. Students learn to identify ML opportunities, apply the CRISP-DM data science process, make key technology decisions, and manage production systems. The curriculum covers data collection, model building, deployment strategies, and system monitoring, preparing participants to lead ML initiatives in real-world settings.

Identifying Opportunities for Machine Learning

Module 1 · 2 Hours to complete

Organizing ML Projects

Module 2 · 2 Hours to complete

Data Considerations

Module 3 · 2 Hours to complete

ML System Design & Technology Selection

Module 4 · 2 Hours to complete

Model Lifecycle Management

Module 5 · 6 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: AI Product Management

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Managing Machine Learning Projects

Beginner

Skill Level

15 Hours

Self-paced Video lessons

Course Cost

Free course

Completion

CERTIFICATE

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.