AI Product Management

University of Washington Professional and Continuing Education ETPL
Building extraordinary products that leverage the power of artificial intelligence (AI) and machine learning (ML) require special expertise. Product teams need managers who understand when and how to invest in these technologies and how to wisely integrate AI into efficient, market-ready products for industry and consumers. In this one-course specialization, you’ll learn to evaluate, design and implement machine learning applications from scratch or in existing products. You’ll learn how to develop use cases and explore best practices for ML implementation. Plus, you’ll create a strategic product launch and post-launch plans for native and AI-enhanced projects, while learning dependencies, tradeoffs, deliverables and how to build the tech stack.

Financial information

Total tuition

$2,445.00

Total required fees

$0.00

Books and supplies

$0.00

Locations

Online

Instructional methods

Online, E-learning, or Distance Learning

Is this program offered on evenings and weekends?

Yes

Program details

3 Months

Length of training

Certificate

Award type

N/A

Credits

N/A

Clock Hours

Additional details

Award name

Certificate of Completion

Education Prerequisites

No Selection

Prerequisite courses and other requirements

Is this program approved to train veterans?

No

Program languages

English

Certification/license obtained as part of training program

Certification/license test preparation provided

Employment performance results

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.

Top industries for graduates

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.

Student characteristics

Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.