AI for Accessibility
Use AI to build accessible digital experiences — from WCAG-compliant websites and accessible documents to assistive technology integration, inclusive content creation, and ethical AI design for people with disabilities.
One billion people — 15% of the world’s population — live with some form of disability. Yet most digital experiences are built as if they don’t exist. Automated accessibility scans catch only about 30% of WCAG issues, and the remaining 70% require human expertise that most teams don’t have or can’t afford.
AI is changing this equation. Not by replacing human accessibility expertise, but by scaling it — automating audits that used to take weeks, generating alt text for thousands of images, captioning content in real-time, and flagging accessibility barriers before they reach production.
AI for Accessibility teaches you to use AI as a force multiplier for building digital experiences that work for everyone — not just as a compliance checkbox, but as a design philosophy that makes products better for all users.
What makes this course different
Most accessibility courses teach the rules. This course teaches you how to use AI to implement accessibility at scale — from automated WCAG auditing to AI-generated alt text to cognitive accessibility for neurodiverse users. You’ll learn both the technical how and the ethical why.
What You'll Learn
- Explain the landscape of AI-powered assistive technologies across visual, auditory, cognitive, and motor disabilities
- Use AI tools to audit websites and documents for WCAG compliance, generate remediation plans, and prioritize accessibility fixes
- Create accessible content at scale — AI-generated alt text, captions, transcripts, and document structures that meet accessibility standards
- Design inclusive digital experiences using AI to identify barriers, test with assistive technology users, and implement ARIA patterns
- Apply AI to support cognitive accessibility — simplified content, executive function aids, and adaptive interfaces for neurodiverse users
- Evaluate ethical implications of AI in accessibility — bias, representation, community involvement, and the balance between automation and human judgment
After This Course, You Can
What You'll Build
Course Syllabus
Who Is This For?
- Developers and designers who want to build accessible products efficiently using AI tools
- Content creators responsible for making documents, images, and media accessible at scale
- Product managers and team leads building accessibility into their development workflows
- Accessibility professionals looking to leverage AI for faster auditing, testing, and remediation
Frequently Asked Questions
Do I need to be a developer to take this course?
No. The course covers both technical accessibility (WCAG, ARIA, code-level fixes) and content accessibility (alt text, captions, document structure, plain language). Designers, content creators, project managers, and anyone responsible for digital experiences will find actionable takeaways.
Which accessibility standards does the course cover?
Primarily WCAG 2.1 and 2.2 (AA level), which form the basis for most legal requirements worldwide including ADA, Section 508, EAA, and EN 301 549. You'll learn the principles and how AI tools map to specific success criteria.
Is this course about making AI accessible, or using AI to improve accessibility?
Both. The primary focus is using AI as a tool to improve accessibility — automating audits, generating alt text, creating captions, and remediating documents. But we also cover how to ensure the AI tools themselves are accessible and ethically designed.
I already know basic accessibility. Will this course still be valuable?
Yes. This is an advanced course. It goes beyond 'add alt text' into AI-powered audit workflows, predictive accessibility testing, cognitive accessibility for neurodiverse users, ethical AI considerations, and building sustainable accessibility programs. If you've taken a basic accessibility course, this is the next level.
