Udemy - Ai-Powered Interaction Design Patterns

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Free Download Udemy - Ai-Powered Interaction Design Patterns
Published: 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.90 GB | Duration: 5h 36m
Case studies, challenges and best practices

What you'll learn
Describe key AI-powered interaction patterns like adaptive interaction, feedback loops, and human-in-the-loop systems.
Identify examples and applications of AI-powered design patterns.
Use design patterns to create personalized, engaging, and trustworthy AI solutions.
Describe challenges and best practices of designing and implementing various AI-powered design patterns.
Requirements
Previous experience in product development, UX (User Experience) design, HCI (Human-Computer Interaction), or data-driven projects can enhance your engagement in this course. However, if you do not have this experience, curiosity about how AI shapes modern products and a willingness to explore ethical and technical challenges are sufficient.
Description
AI is transforming user experiences by making digital interactions smarter, adaptive, and more intuitive. This course explores AI-powered design patterns-structured approaches that leverage AI to create engaging, efficient, and human-centered digital experiences.By understanding and applying these patterns, learners will be able toescribe key AI-powered interaction patterns like adaptive interaction, feedback loops, and human-in-the-loop systems.Identify examples and applications of AI-powered design patterns.Use design patterns to create personalized, engaging, and trustworthy AI solutions.Describe challenges and best practices of designing and implementing various AI-powered design patterns.What you will learn:AI-Driven Adaptive Patterns - How AI adjusts experiences dynamically based on user behavior.Conversational AI Patterns - Designing intuitive AI-powered chatbots and voice assistants.Natural User Interaction - How AI help design interactions based on human behaviors. Human-AI Collaboration - How users and AI co-create, guide, or enhance digital interactions.Gamification & Engagement - AI-powered rewards, challenges, and social interaction strategies.Feedback & Learning Loops - Using AI to refine and optimize interactions through continuous feedback.Who Should Take This Course?Designers (UX/UI, Interaction) - Enhance digital products with AI-driven interactions.Developers - Implement AI-powered patterns in software and applications.Product Managers - Understand AI's impact on user engagement and strategy.Researchers & Educators - Explore cutting-edge AI interaction design methodologies.By the end of this course, you'll have a deep understanding of AI-powered interaction design patterns and be able to apply them in real-world applications across various industries.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Target Audience
Lecture 3 Disclosures
Section 2: Design Patterns
Lecture 4 Learning Objectives
Lecture 5 Introduction to Design Patterns
Lecture 6 History of Design Patterns
Lecture 7 AI-Powered Design Patterns
Section 3: Adaptive Patterns
Lecture 8 Learning Objectives and Introduction
Lecture 9 Dynamic Personalization
Lecture 10 Predictive Assistance
Lecture 11 Context-Aware Interfaces
Lecture 12 Conclusion
Section 4: Conversational Patterns
Lecture 13 Learning Objectives
Lecture 14 Introduction
Lecture 15 Single-Turn Conversational Patterns
Lecture 16 Multi-Turn Conversational Patterns
Lecture 17 Variations in Conversational Patterns
Lecture 18 Conclusion
Section 5: Feedback and Learning Patterns
Lecture 19 Learning Objectives
Lecture 20 Introduction
Lecture 21 Continuous Feedback Loops
Lecture 22 Adaptive Learning Patterns
Lecture 23 Corrective Feedback and Error Recovery Pattern
Lecture 24 Anomaly Detection Feedback Pattern
Lecture 25 Conclusion
Section 6: Natural Interaction Patterns
Lecture 26 Learning Objectives
Lecture 27 Introduction
Lecture 28 Voice Interaction
Lecture 29 Gesture Recognition
Lecture 30 Emotion Recognition
Lecture 31 Touch and Haptic Feedback
Lecture 32 Eye-Tracking & Gaze Prediction
Lecture 33 Conclusion
Section 7: Human-AI Collaboration Patterns
Lecture 34 Learning Objectives
Lecture 35 Introduction
Lecture 36 Human-Guided AI
Lecture 37 Human-AI Collaboration Loop
Lecture 38 Human-AI Co-creation
Lecture 39 AI Guides Human
Lecture 40 AI Takes Initiative, Human Approves
Lecture 41 Conclusion
Section 8: Gamification and Engagement Patterns
Lecture 42 Learning Objectives
Lecture 43 Introduction
Lecture 44 AI-Enhanced Challenges
Lecture 45 Dynamic Rewards
Lecture 46 Habit Formation and Streak Mechanisms
Lecture 47 Social and Competitive Engagement
Section 9: Conclusion
Lecture 48 Conclusion
designers (UI/UX, product, interaction), developers, product managers, researchers and educators.

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