Coding with AI for MBAs

Übersicht

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.

Lehrplan

• 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

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Unterrichtet von

Alex Cowan and Yael Grushka-Cockayne

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Fachgebiete

Computer Science