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Overview
Learn to apply the data science process and best practices to lead machine learning projects, and how to develop human-centered AI products which ensure privacy and ethical standards.
This AI Product Management course is offered by Coursera in partnership with Duke University.
What you'll learn
Identify when and how machine learning can applied to solve problems
Apply human-centered design practices to design AI product experiences that protect privacy and meet ethical standards
Lead machine learning projects using the data science process and best practices from industry
Skills you'll gain
- Machine Learning
- Machine Learning Algorithms
- Applied Machine Learning
- Probability & Statistics
- Regression
- Data Analysis
- Deep Learning
Programme Structure
Courses included:
- Machine Learning Foundation for Products Managers
- Managing Machine Learning Projects
- Human Factor in AI
Key information
Duration
- Part-time
- 4 months
- 5 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Software Engineering Artificial Intelligence View 125 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No programming experience or prior knowledge of machine learning / AI required.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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