Title: Vibe Coding: AI-Powered App Development for Product Managers

Location: US

Company: The University of Maryland, College Park

About this course:
This course shows product managers how to turn AI from a buzzword into a hands‑on build partner. By the end, you’ll be able to design and ship real applications by “vibe coding” with AI. Describing outcomes, flows, and emotional tone in natural language while the model handles code, architecture, and integration.
You’ll learn how to use Model Context Protocol (MCP) to make your agents predictable and safe, engineer context so they reflect your product’s voice and guardrails, and run fast, AI‑assisted iterations from first prototype through testing and retrospective.
Drawing on real case studies like a PTSD support app and a four‑day health platform, you’ll practice shipping useful, user‑centered AI products without needing deep engineering skills.
This course is practical for product managers who want to compress timelines, validate ideas quickly, and stay in control of experience and ethics while AI does the heavy lifting.

Describe product ideas, user flows, and emotional tone in natural language

Use natural language to design AI-powered apps by “vibe coding”

Apply "vibe coding" to shift from thinking in code and syntax to thinking in outcomes, experience, and user emotion.

Use Model Context Protocol to make AI agents reliable and safe

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

Co‑develop with AI through rapid, conversational iteration to refine UX, flows, and features based on real feedback.

Drive an AI‑assisted product lifecycle end‑to‑end, from first build through testing, troubleshooting, and retrospective planning.

Turn AI into your build partner. Design and ship real apps through “vibe coding”. Describe outcomes while AI handles code and integration. Use MCP to create safe, reliable agents, and move fast from idea to prototype to launch. Apply real case studies to build user-centered products. No deep engineering or coding background required.

Duration: 4 weeks

Curriculum:
- Describe product ideas, user flows, and emotional tone in natural language
- Use natural language to design AI-powered apps by “vibe coding”
- Apply "vibe coding" to shift from thinking in code and syntax to thinking in outcomes, experience, and user emotion.
- Use Model Context Protocol to make AI agents reliable and safe
- Run AI-assisted product cycles from prototype through testing and launch
- Co‑develop with AI through rapid, conversational iteration to refine UX, flows, and features based on real feedback.

- Drive an AI‑assisted product lifecycle end‑to‑end, from first build through testing, troubleshooting, and retrospective planning.