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Afordz

Training

Generative AI for Designers Who Build

One digital licence for the Afordz Training syllabus Generative AI for Designers Who Build. Built for UI/UX designers who already know HTML and Bootstrap and want to design and ship AI-powered products — not train models. The pack covers six modules over about 12 weeks (roughly 5–6 hours per week): AI basics and prompting, AI design tools, JavaScript fundamentals, your first AI web app, UX for AI, and AI coding assistants with a portfolio finish. Outcome focus: three portfolio projects (chatbot UI, AI UX case study, landing-page-from-prompt generator). Materials are delivered as a private download after a captured Razorpay payment. This is not a live cohort, mentorship programme, or streaming classroom.

₹799

The syllabus document is ready for preview. Licence wording and any bonus files will be confirmed before checkout opens. Coming soon — not available to purchase yet.

Coming soon. This listing is not available to purchase yet.

Included files

  • Module 1 — AI Basics & Prompting

    How LLMs work (tokens, context, hallucinations), structured prompting, and a library of 20 tested design prompts for copy, research, audits, and ideation.

  • Module 2 — AI Design Tools

    Explore Figma AI, Uizard, Google Stitch, v0, and Firefly/Midjourney. Redesign 3–5 screens of a past project with a time-saved log and reflection.

  • Module 3 — JavaScript Basics

    Variables, DOM, events, and fetch. Build an interactive Bootstrap page (form, modal, dynamic list) and publish it on GitHub.

  • Module 4 — Your First AI Web App (Project 1)

    Call Gemini or OpenAI safely, keep keys off the client, and ship a polished chatbot UI with loading, error, and conversation states.

  • Module 5 — UX for AI (Project 2)

    People + AI Guidebook and HAX patterns: streaming, trust, control, and errors. Figma case study redesigning an existing AI product.

  • Module 6 — AI Coding Assistants & Portfolio (Project 3)

    Use Cursor/Copilot to build a landing-page-from-prompt generator, then present all three projects on a live portfolio site.

  • Progress checklist & role map

    Week-by-week checklist, what to skip for now (training models, heavy ML math), and target roles such as AI product designer and design engineer.