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With Generative AI for frontend developers course you will be able to build stunning frontends using Gen AI tools with much faster UI, smarter UX, better conversions, and blazing-fast prototyping.
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Great UI/UX design has just been easy. The Gen AI for Frontend Developers course teaches you how to integrate AI into your design and development workflow, from creating stunning interfaces to improving user journeys and accessibility. Accelerate frontend delivery with the proper tools and better techniques.
Artificial intelligence is no longer simply a trending word. This training provides frontend developers with a hands-on experience with leading Gen AI solutions including as Figma AI, Uizard, Adobe Sensei, and Midjourney. Learn how to automate UI creation, assess accessibility, tailor UX, and do data-driven A/B testing. Whether you’re prototyping or improving an existing product, AI may significantly reduce development time and enhance quality. This course will teach you how to turn static designs into intelligent, adaptable, and user-centric interfaces using real-world examples, tools, and challenges.
Sub-Topics: Figma AI, Uizard, Sketch2Code – Generating UI elements | Auto-responsive designs using AI | Automated component styling & theme generation
Use Cases: AI-generated UI components for a web application
Tools Used: Figma AI, Uizard, Sketch2Code
Expected Outcomes: Faster UI design and implementation using AI
Assessment Methods: Frontend development challenges
Sub-Topics: Using axe DevTools, Google Lighthouse, TPGi ARC Toolkit for accessibility testing | Automated WCAG compliance checks | AI-based color contrast and font-size optimization
Use Cases: AI-powered accessibility auditing and compliance
Tools Used: axe DevTools, Google Lighthouse, TPGi ARC Toolkit
Expected Outcomes: More accessible and user-friendly web applications
Assessment Methods: AI-driven accessibility compliance exercises
Sub-Topics: Adobe Sensei, Dynamic Yield, Optimizely – Personalizing UI based on user behavior | AI-driven heatmap analysis for engagement tracking | Adaptive UI elements based on real-time user interactions
Use Cases: Building a personalized homepage based on user behavior
Tools Used: Adobe Sensei, Dynamic Yield, Optimizely
Expected Outcomes: Higher engagement rates with AI-driven UX improvements
Assessment Methods: Hands-on UX customization project
Sub-Topics: Figma AI, Midjourney, Uizard – AI-driven wireframing | Auto-generating layout structures and design templates | AI-powered rapid prototyping for iterative design
Use Cases: AI-driven wireframing for a mobile-first web application
Tools Used: Figma AI, Midjourney, Uizard, Visily
Expected Outcomes: Reduced time for wireframing and prototyping
Assessment Methods: AI-based prototyping tasks
Sub-Topics: Google Optimize, VWO, Optimizely – AI-assisted A/B testing | AI-based traffic segmentation for user testing | Automated statistical significance calculations
Use Cases: A/B testing for e-commerce checkout process optimization
Tools Used: Google Optimize, VWO, Optimizely
Expected Outcomes: Better conversion rates through AI-powered UX decisions
Assessment Methods: A/B testing case study and analysis
Sub-Topics: AI-driven lazy loading (Lozad.js), Cloudflare Auto-Minify – Performance optimization | AI-powered CSS/JS minification and optimization | AI-driven predictive caching and content preloading
Use Cases: Frontend performance optimization for a SaaS platform
Tools Used: Lozad.js, Cloudflare Auto-Minify
Expected Outcomes: Lightning-fast frontend loading speeds
Assessment Methods: Frontend performance tuning tests
Sub-Topics: Selenium AI, Testim.io, Applitools, Cypress AI – Frontend automation | Automated visual regression testing | Self-healing UI test automation scripts
Use Cases: Automating regression testing for a UI-heavy application
Tools Used: Selenium AI, Testim.io, Applitools, Cypress AI
Expected Outcomes: Efficient automation in frontend workflows
Assessment Methods: Final project: Full AI-powered frontend experience
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This course is ideal for frontend developers and designers who want to use AI for faster, smarter UI/UX development.
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Step 1: Enroll for our expert-led Generative AI for Frontend Developers course
Step 2: Complete the full training and hands-on assessments
Step 3: After successful completion, receive your Gen AI for Frontend Developers Certification
Corporate Training
Build Agile Team that excel with Customized Corporate Training & Group Discount
This course helped me slash my UI design time by half. Figma AI is a game changer!
I used Midjourney and Uizard for a prototype pitch. Landed a client thanks to this course!
AI in frontend always seemed gimmicky, until I took this. Now it's part of my daily dev stack.
Both! It blends UI/UX design tools and frontend coding using AI technologies.
Yes. We include modules on Figma AI, Midjourney, Adobe Sensei, and more.
No prior experience required. We walk you through each tool hands-on.
Yes. The final assignment is a real-world AI-powered frontend implementation.
No. Certification is based on completion of projects and modules.
You can retake the assessments with mentor guidance until you complete them.
Definitely. You’ll gain AI-first frontend skills that modern startups seek.
Absolutely. Each project is portfolio-worthy and demonstrates practical AI usage.
Finish all modules and hands-on tasks. Then receive your official certificate.
Yes, Agilefever certifications are widely respected across tech and AI firms.
It’s the use of AI to auto-generate UIs, improve UX, test accessibility, and more.
This course dives into design-specific AI tools built for frontend professionals—beyond just prompts.
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