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Specialization in Machine Learning Product Management

www.pce.uw.edu/specializations/machine-learning-product-management

Specialization in Machine Learning Product Management

Enhance Your ML Product Strategy and Business Value

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Program Details

  • Location: Online
  • Duration: 4 months
  • Times: Evenings
  • Cost: $2,445

Next start date:

February 3, 2025

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Talk to an Enrollment Coach

About this Program


Building extraordinary products that leverage the power of machine learning (ML) requires special expertise. Product teams need managers who understand when to invest in ML solutions — or not — and know how to wisely integrate data science and artificial intelligence 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 plan for an original ML project, including dependencies, tradeoffs, deliverables, and how to build the tech stack.

Designed For

Experienced product managers, program managers, technical program managers, project managers and business managers who want to lead ML product teams or make product business decisions.

See Requirements

Skills You’ll Gain

  • Product management
  • New product development
  • Business & use case analysis
  • MLOps
  • ML solution architecture
  • Building data science teams

Get Real-World Experience

  • Learn to structure launch plans and milestones for a ML product team
  • Ask — and answer — insightful questions about costs, scope and scaling
  • Calculate the economics of a data-science solution, including technology, team compensation and return on investment

Career Stats

26%

Projected growth in U.S. demand for product management skills (2024–26)

24%

Projected growth in U.S. demand for new product development skills (2024–26)

Source: Lightcast

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EARN A DIGITAL BADGE

After successfully completing this program, you can claim a digital achievement badge that can be shared on LinkedIn and other social media sites. Learn more about digital badges.

Specialization in Machine Learning Product Management

Approved by the UW Foster School of Business.

View this program's advisory board.

Attend an info session

Join an upcoming information session to learn more about the program, curriculum and instructors.

Fri, Jan 17 at 12 p.m. – Online

RSVP

Specialization, Certificate or Course:
What’s the Difference?

Specialization

Deep dive into an in-demand skill

Courses: 1-2 | Class Hours: 35+ | Credential: Certificate of Completion

Certificate

In-depth preparation for a new career or career advancement

Courses: 1-3 | Class Hours: 90+ | Credential: Certificate of Completion

Course

Foundation in a topic and step toward further study 

Class Hours: < 30

Learn More »

Learning Format

Online With Real-Time Meetings

Online Synchronous

Combine the convenience of online learning with the immediacy of real-time interaction. You’ll meet with your instructor and classmates at scheduled times over Zoom. Learn More »

Program Sessions

Online Synchronous

    Scheduled Meetings
    • Feb
      03 Mon 6–9 P.M.

      Online

    • Feb
      10 Mon 6–9 P.M.

      Online

    • Feb
      24 Mon 6–9 P.M.

      Online

    • Mar
      03 Mon 6–9 P.M.

      Online

    • Mar
      10 Mon 6–9 P.M.

      Online

    • Mar
      17 Mon 6–9 P.M.

      Online

    • Mar
      24 Mon 6–9 P.M.

      Online

    • Apr
      07 Mon 6–9 P.M.

      Online

    • Apr
      14 Mon 6–9 P.M.

      Online

    • Apr
      21 Mon 6–9 P.M.

      Online

    • Apr
      28 Mon 6–9 P.M.

      Online

    • May
      05 Mon 6–9 P.M.

      Online

    • May
      12 Mon 6–9 P.M.

      Online

    • May
      19 Mon 6–9 P.M.

      Online

    All times are Pacific Time.

    Online

    Noncredit Program

    You'll earn 5 continuing education units (CEUs) for successfully completing this program. Learn more about noncredit options.

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