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Course Outline
Introduction to Multimodal AI and User Experience
- The role of AI in enhancing user experience
- Overview of multimodal AI systems
Understanding Multimodal Data
- Types of multimodal data in user interfaces
- Collecting and preprocessing multimodal data
Designing Multimodal Interfaces
- Principles of multimodal UI/UX design
- Tools and frameworks for creating multimodal interfaces
Implementing Voice and Visual Recognition
- Voice recognition technologies and their applications
- Visual recognition and processing for UIs
Gesture and Facial Expression Integration
- Technologies for gesture recognition
- Integrating facial expression recognition into UIs
Creating Adaptive and Responsive UIs
- Designing UIs that adapt to user input and context
- Case studies of adaptive multimodal UIs
Ethical Considerations and Privacy
- Ethical design principles for multimodal UIs
- Privacy concerns and data protection in multimodal systems
Project and Assessment
- Designing, implementing and troubleshooting a basic multimodal UI
- Evaluation and feedback
Summary and Next Steps
Requirements
- Basic understanding of AI and machine learning
- Experience with user interface design
- Familiarity with Python and JavaScript
Audience
- UX/UI designers
- Front-end developers
- Product managers
21 Hours
Testimonials (1)
Our trainer, Yashank, was incredibly knowledgeable. He modified the curriculum to match what we truly needed to learn, and we had a great learning experience with him. His understanding of the domain he was teaching was impressive; he shared insights from real experience and helped us solve actual problems we were facing in our work.
