Global Certificate in Accessible AI Solutions
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• Introduction to Accessible AI Solutions: Overview of AI, accessibility, and the importance of creating inclusive AI solutions. • Understanding Disability and Accessibility: Defining disability, accessibility, and assistive technologies. • Accessible AI Design Principles: Best practices and guidelines for designing accessible AI systems. • Natural Language Processing (NLP) and Accessibility: Exploring the role of NLP in accessible AI, including text-to-speech, speech-to-text, and machine translation. • Computer Vision and Accessibility: Utilizing computer vision for accessibility, including image recognition, object detection, and optical character recognition. • Accessible AI in Practice: Real-world examples and case studies of accessible AI solutions. • Ethics and Bias in Accessible AI: Addressing ethical concerns and biases in AI systems, ensuring fairness and avoiding discrimination. • Testing and Validation for Accessible AI: Methods and tools for testing AI systems for accessibility and usability. • Building Accessible AI Solutions: Hands-on experience in developing accessible AI applications and services.
• Accessibility Regulations and Standards: Overview of global accessibility regulations and standards for AI solutions, including WCAG, ADA, and Section 508.
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- BasicUnderstandingSubject
- ProficiencyEnglish
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- ThreeFourHoursPerWeek
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