Career track  ·  Data Product Management

Build and scale data products that users trust.

A 34-hour program built for experienced product managers. Learn how to map user needs, ensure data quality, design self-serve dashboards, and drive platform adoption.

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34 HoursAdvanced curriculum
5 CoursesFoundations to strategy
Direct SupportExpert guidance

Learning structure

Applying product discipline to AI systems

Built for experienced product managers, this advanced specialization teaches you how to design and scale software powered by AI. The curriculum focuses on building the technical fluency needed to collaborate with engineers, design trustworthy user experiences, and evaluate product quality when system outputs are unpredictable.

The value of AI is determined entirely by how well it solves real user needs—not by how complex the underlying technology is.
01Validate AI opportunities: Learn to identify when AI is genuinely the right solution for your product, and when traditional software or better design is more effective.
02Build technical fluency: Understand how models, latency, and data systems connect so you can make strong, cost-effective product choices without needing to code.
03Design for user trust: Create intuitive product interfaces with clear user controls, helpful fallback options, and smooth human-in-the-loop workflows.
04Evaluate product quality: Master new ways to test, measure, and safely launch AI features when system answers change dynamically and cannot be hard-coded.

Common study difficulties

The operational gaps this program solves

01

Managing unpredictable behavior: Standard products have clear pass/fail tests. AI products require unique testing and release guidelines to ensure consistent quality.

02

Balancing technical tradeoffs: Leaders must navigate complex decisions around model performance, processing speed, and infrastructure costs without losing sight of the user.

03

Calibrating user trust: If an AI feature is too hidden, users ignore it; if it is overhyped, users lose faith when it makes a mistake. Designing the right balance is highly difficult.

04

Navigating fast-moving markets: Product leaders struggle to build sustainable, long-term roadmaps when AI vendor capabilities, pricing, and regulations change constantly.

Dulania

STATEMENT OF COMPLETION

This certifies that

Your Name

has successfully completed all required coursework for

Data Product Management

Upon completion

Receive a verifiable Statement of Completion

When you finish every course in this program, Dulania issues you a digitally verifiable Statement of Completion — documenting your contact hours and the date of completion.

Having a structured, verifiable record of your professional development hours puts you in the best position when submitting to credentialing bodies or employers. Acceptance is always at the discretion of the receiving organization.

  • Unique verification link anyone can check
  • Contact hours and completion date recorded
  • PDF-ready for your records or submissions
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Learning experience

An advanced, self-paced specialization built for product leaders who need to confidently design, evaluate, and scale products powered by AI.

Build the advanced product capabilities your AI strategy needs.

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