RiseUpp Logo
Educator Logo

Managing Machine Learning Projects

Learn to lead machine learning projects through the complete lifecycle, from opportunity identification to deployment and monitoring.

Learn to lead machine learning projects through the complete lifecycle, from opportunity identification to deployment and monitoring.

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

(180 ratings)

15,196 already enrolled

Instructors:

Jon Reifschneider

Jon Reifschneider

English

پښتو, বাংলা, اردو, 2 more

Powered by

Provider Logo
Managing Machine Learning Projects

This course includes

18 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free

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

Closed caption

Get a Completion Certificate

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

Created by

Provided by

Certificate

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.

icon-0icon-1icon-2icon-3icon-4

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

Instructor

Jon Reifschneider

Jon Reifschneider

4.8 rating

55 Reviews

56,564 Students

3 Courses

Director of AI for Product Innovation at Duke University

Jon Reifschneider is the Director of the Master of Engineering in Artificial Intelligence for Product Innovation (AIPI) program at Duke University's Pratt School of Engineering, where he also teaches graduate courses in machine learning. With a robust background in data services and analytics, Jon previously held senior management roles for 15 years, most notably as Senior Vice President at DTN, where he led the Weather Analytics division. His team developed predictive analytics systems that have become integral to the operations of major transportation, aviation, and energy utility organizations across the United States and globally. Jon's academic credentials include a B.S. in Mechanical Engineering from the University of Virginia, a Master of Engineering Management from Duke University, an M.S. in Analytics from Georgia Tech, and a Global MBA from EBS in Germany. His international experience spans the U.S., Luxembourg, Germany, and India, enriching his perspective on global engineering challenges. As a leader in integrating AI with product innovation, Jon Reifschneider is committed to advancing education and research in this dynamic field.

Managing Machine Learning Projects

This course includes

18 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free

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.

4.8 course rating

180 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.