AI Productization: Tools, UX, Deployment

This unit focuses on applying generative AI and tooling to real-world products and services, emphasizing user experience, accessibility, and responsible deployment. Students will practice prompt engineering, model selection, AI-assisted coding and testing, conversational agent construction and publishing, and strategies to detect and mitigate misinformation, bias, and other harms while optimizing for user needs and business outcomes.

Learning Objectives

• Analyze user needs, accessibility requirements, and business goals to select appropriate AI models, plugins, and deployment environments for a given application
• Apply prompt engineering techniques, model configuration (e.g., temperature selection), and tool-specific built-in prompts to optimize output quality for tasks such as localization, multimedia generation, summarization, and SEO
• Design, build, test, and publish a conversational AI agent or plugin—integrating manually written and AI-generated code, linting, and platform-specific deployment steps—within a collaborative development environment
• Evaluate AI outputs for accuracy, misinformation, bias, citation integrity, and user experience impacts and implement mitigation strategies (including accessibility accommodations and editorial controls) to improve trustworthiness and conversion outcomes