Course Program

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#1Introduction to Large Language Models
  • What are LLMs?---
  • History and Evolution of LLMs---
  • Core Concepts and Definitions---
#2Foundational AI and UX Design
  • Connecting AI with UX---
  • Basic AI Terminology for Designers---
  • Fundamentals of User-Centric Design---
  • Ethical Considerations in AI---
#3Exploring Capabilities of LLMs
  • Text Generation by AI---
  • AI in Content Personalization---
  • Natural Language Processing---
  • Enhancing Chatbots with LLMs---
#4Responsible AI and Ethics
  • Bias and Fairness in AI---
  • Transparent AI Decisions---
  • User Privacy Concerns---
  • Mitigating Ethical Risks---
#5User Testing with AI Systems
  • Designing Compelling User Tests---
  • Evaluating AI Interaction---
  • Optimizing Feedback Loops---
  • Iterative Usability Analysis---
#6Prototyping with Large Language Models
  • Creating AI Prototypes---
  • Tools and Platforms Available---
  • Iterative Development Techniques---
  • User Testing Prototypes---
  • Gathering Prototype Feedback---
#7Advanced LLM Features
  • Understanding AI Capabilities---
  • Integrating AI APIs---
  • Building Custom Functions---
  • Algorithm Robustness---
#8Interactive User Interfaces Incorporating LLMs
  • User Interface Standards---
  • Adaptive UIs Guided by AI---
  • Reacting to User Intentions---
  • Performance Tuning for Integrations---
  • Measuring User Engagement---
#9Personality and Voice Using AI in UX
  • Customizing AI Personality---
  • Natural Voice Recognition---
  • Crafting User Typologies---
  • Guidelines to Exemplary UX Voices---
#10Visualization Techniques for AI Results
  • Useful AI Visualizations---
  • Cluster and Trend Techniques---
  • Non-Chart-based Presentations---
  • Storytelling with Big Data---
  • Ends with Adaptive Insight---