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Starts 17 June 2025 13:38

Ends 17 June 2025

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Coding with AI for MBAs

Master AI-powered coding for digital product development, from user interfaces to algorithms and data models, with a disciplined approach for MBAs and business professionals.
University of Virginia via Coursera

University of Virginia

11 Courses


A highly-rated public institution, the University of Virginia provides its students with a progressive and internationally linked education in an energetic university city.

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Overview

This specialization is intended for anyone interested in digital products and user experiences. While AI and 'vibe coding' have dramatically eased the entry points for building digital UX's, mastering the work of building something worthwhile and building it well is as much of a challenge as it ever was.

In this specialization, you'll learn a disciplined but humanistic approach for going from idea to release.

Syllabus

  • Introduction to AI in Digital Products
  • Overview of AI technologies and their applications in digital products
    Trends and innovations in AI for user experiences
  • Fundamentals of User Experience (UX) Design
  • Key principles of UX design
    Understanding user needs and behavior
    Importance of human-centered design in AI projects
  • AI Tools and Platforms for Coding
  • Introduction to coding tools simplified by AI (e.g., low-code and no-code platforms)
    Overview of popular AI APIs and services for developers
  • Ideation and Prototyping
  • Techniques for generating and refining digital product ideas
    Methods for creating wireframes and prototypes quickly using AI tools
  • AI-Driven Product Development Process
  • Planning and managing digital product lifecycle
    Integrating AI in product development stages: from conception to deployment
  • AI for Enhancing Digital UX
  • Personalization, recommendation systems, and adaptive user interfaces
    Using AI to analyze and improve user interaction data
  • Collaboration Between Business and Technical Teams
  • Strategies for effective communication and collaboration
    Bridging the gap between business goals and technical implementation
  • Ethical and Humanistic AI Design
  • Considerations for bias, fairness, and transparency in AI experiences
    Case studies and discussion on ethical challenges in AI projects
  • Testing and Iteration in AI Products
  • Approaches to user testing and feedback loops
    Continuous improvement through iterative design processes
  • Go-to-Market Strategy for AI-Driven Digital Products
  • Crafting a launch plan
    Marketing and positioning of AI-enabled products
  • Capstone Project
  • Develop a comprehensive AI-enhanced digital product prototype
    Present ideas and receive feedback from peers and instructors

Taught by

Alex Cowan and Yael Grushka-Cockayne


Subjects

Computer Science