Schedule
Asynchronous
Delivery method
Online
Managing Machine Learning Projects
0 credit hours
Credits awarded upon completion
Self-Paced
Progress at your own speed
18.27 hours
Estimated learning time
About the Course
Description
This second course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the practical aspects of managing machine learning projects. The course walks through the keys steps of a ML project from how to identify good opportunities for ML through data collection, model building, deployment, and monitoring and maintenance of production systems. Participants will learn about the data science process and how to apply the process to organize ML efforts, as well as the key considerations and decisions in designing ML systems.
At the conclusion of this course, you should be able to:
- Identify opportunities to apply ML to solve problems for users
- Apply the data science process to organize ML projects
- Evaluate the key technology decisions to make in ML system design
- Lead ML projects from ideation through production using best practices
This Course is part of a program
You can only buy it along with program.
Sections
Deliverables
0 Credits
Academic Excellence
Earn necessary number of credit hours for completing this content
Hone Important Skills
Total Upgrade
Such as Data Cleansing, Applied Machine Learning, Software Versioning, System Monitoring, Technical Design, Machine Learning, Solution Design, Project Management, Market Opportunities, Data Quality, Organizational Skills, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Project Management Life Cycle, Systems Design, Data Management