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.

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Coding with AI for MBAs Specialization
Heard about coding with AI? Now's your chance!. Master a historic new approach to application development and digital UX's.


Instructors: Alex Cowan
Included with
Recommended experience
Recommended experience
What you'll learn
1. Analyze applications using the Model-View-Controller (MVC) framework
2. Translate design intent into working code
3. Build effectively with AI
Overview
Skills you'll gain
What’s included

Add to your LinkedIn profile
June 2025
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Virginia

Specialization - 3 course series
What you'll learn
How to transition ideas to designs, and how to translate those designs to code
How to build end user interfaces using HTML and CSS (with a transition to Javascript in course 2).
How to use analytical debugging to take the guess work and anxiety out of coding
How to use digital literacy to enhance your team's practice of agile
Skills you'll gain
What you'll learn
How to take application designs and translate them into digital prototypes using HTML, CSS, and Javascript
Analytically debug Javascript with the Chrome debugger
Explain what digital literacy means for today’s interdisciplinary collaborators
Skills you'll gain
What you'll learn
How to go from idea to design, and from design to code
How to integrate with web API's like Google Firebase to build a modern web application
How to take the anxiety and guesswork out of coding with analytical debugging
Skills you'll gain
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors


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Frequently asked questions
Plan to take 12-15 hours to complete all courses in the Specialization.
We suggest you take the courses in the order presented to get maximum benefit from the materials.
Coursera courses don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
More questions
Financial aid available,