Managing Machine Learning Projects
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
None
Syllabus
Syllabus - What you will learn from this course
Week 1
Identifying Opportunities for Machine Learning
Week 2
Organizing ML Projects
Week 3
Data Considerations
Week 4
ML System Design & Technology Selection
Week 5
Model Lifecycle Management
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
Excellent course! And the professor is a SME in the ML field. Looking forward to the next course.
worth your time if you are a product manager, product owner or project manager that is interested in implementing ML
