University of Maryland, College Park

Vibe Coding: AI-Powered App Development for Product Managers

University of Maryland, College Park

Vibe Coding: AI-Powered App Development for Product Managers

William A. Brantley

Instructor: William A. Brantley

Access provided by Northrop Grumman

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Design AI-powered apps by “vibe coding” in natural language

  • Use Model Context Protocol to make AI agents reliable and safe

  • Run AI-assisted product cycles from prototype through testing and launch

Details to know

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Assessments

27 assignments

Taught in English
Recently updated!

May 2026

See how employees at top companies are mastering in-demand skills

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There are 5 modules in this course

Discover how “vibe coding” lets product managers build real apps by talking to AI instead of writing code. Explore a real-world health app built in four days, unpack the five core principles of vibe coding, and see how to focus on outcomes, emotion, and user experience rather than syntax.

What's included

6 videos9 readings7 assignments

Move beyond basic prompting and learn how to design AI agents using the Model Context Protocol (MCP). See how leading companies use MCP to turn large language models into reliable, reusable “AI brains” that power real workflows.

What's included

5 videos7 readings7 assignments

Learn how to move from ad‑hoc prompting into context engineering so your AI-powered apps behave consistently and safely at scale. Design the “brains” of your vibe‑coded apps and explore memory design, tone and vibe guardrails, and success criteria.

What's included

5 videos6 readings6 assignments

Take vibe‑coded apps from first build to tested, refined, and launch‑ready. Learn how to co‑develop with AI through rapid iteration, give effective feedback when features miss the mark, and how to close with a lightweight retrospective.

What's included

5 videos6 readings6 assignments

Test what you have learned throughout the whole course.

What's included

2 readings1 assignment

Instructor

William A. Brantley
University of Maryland, College Park
12 Courses8,036 learners

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