Course

Prompt to Pixel

Move from blank page to shipped interface — using AI as a sharpening tool, not a replacement for taste.

Duration
~16 hours
Lessons
52
Format
Self-paced. Pre-recorded HD lessons.

₹24,000

₹18,000

Launch pricing — early enrolment discount.

Enroll on WhatsApp

What you'll learn

  • Prompt for design outcomes, not just generic UI screenshots.

  • Move from rough idea to working wireframe in a single sitting.

  • Generate visual systems — tokens, palettes, type — that survive review.

  • Use Cursor and Claude Code to ship real product features end-to-end.

  • Critique AI output the way you'd critique a junior designer.

  • Build accessibility and review passes into your AI workflow by default.

  • Avoid the generic-AI look without rewriting from scratch.

  • Know when to stop prompting and start designing by hand.

Curriculum

7 chapters · 52 lessons · ~16 hours

  1. 01Mental model

    1h 30m

    Frame what AI is actually good at in design work.

    • What AI is and isn't good at in UI22m
    • Taste as a moat — why prompting alone isn't enough22m
    • The collaborator mindset, not the oracle mindset22m
    • Reading AI output critically24m

  2. 02Prompting for design

    2h 15m

    Structure prompts the way you'd brief a designer.

    • The anatomy of a strong design prompt22m
    • Constraints — what to specify, what to leave open22m
    • Reference images and visual anchors22m
    • Iterating instead of restarting22m
    • Evaluating output — quick rubrics that work23m
    • When to switch tools mid-prompt24m

  3. 03Wireframe to spec

    2h 30m

    From rough sketch to ready-to-build spec.

    • v0 for first-pass layout exploration20m
    • Figma Make and AI-assisted Figma flows22m
    • Going from prompt to a real wireframe22m
    • Code sketches as a design surface22m
    • Iterating with screenshots and annotations20m
    • Writing the spec the team can implement22m
    • Pre-empting engineering pushback22m

  4. 04Visual systems with AI

    2h 00m

    Generate the boring parts of a system without losing voice.

    • Tokens — color, spacing, radius, motion20m
    • Palettes that aren't AI-generic20m
    • Type pairing with AI assistance20m
    • Iconography — when AI helps, when it doesn't20m
    • Building a component baseline20m
    • Documenting the system as you go20m

  5. 05Workflows in Cursor / Claude Code

    2h 30m

    AI-assisted coding without the slop.

    • Setting up Cursor for design-engineering work20m
    • Claude Code basics — agents, slash commands, plans20m
    • Prompting code from a design intent18m
    • Reading diffs critically — what to accept, what to push back on18m
    • Refactoring AI output toward your codebase patterns20m
    • Component-by-component flows18m
    • Stitching a real feature end-to-end18m
    • Pair-prompting with another designer18m

  6. 06Shipping

    2h 00m

    Get AI-assisted work over the line without regret.

    • Reviewing AI work as if it were a teammate's18m
    • Refactor passes — naming, structure, dedup16m
    • Accessibility checks you can't skip18m
    • Performance passes — bundle, image, animation16m
    • Visual polish — the human-eye final pass18m
    • Documentation and handoff16m
    • Post-ship — instrumenting, watching, iterating18m

  7. 07Case studies

    3h 15m

    Real flows, rebuilt from prompt to pixel.

    • Marketing site from a blank Figma14m
    • Dashboard MVP in a weekend14m
    • Settings flow for a real app14m
    • Onboarding redesign with AI critique loops14m
    • Pricing page experimentation14m
    • Mobile-first redesign of a desktop app14m
    • Email templates and transactional UI14m
    • Internal admin tool from scratch14m
    • Public docs site with code samples14m
    • Static landing page with motion14m
    • Portfolio refresh using your own work as input14m
    • AI critique session — reviewing your shipped work14m
    • Building a personal AI design workflow13m
    • Wrap-up: where to take this next13m

What's included

  • 52 pre-recorded HD lessons
  • Starter repos and prompts for every module
  • Cursor and Claude Code configuration files
  • Lifetime access — including future updates
  • Private community channel for cohort discussion
  • Completion certificate

No live workshops, no scheduled calls. Everything ships pre-recorded so you can learn at your own pace.

Frequently asked

Is this a live course or a workshop?

Neither. Every lesson is pre-recorded, so you can move at your own pace. There are no live calls and no scheduled workshops.

Do I need to know how to code?

No. Comfort reading basic HTML and JSX helps in later chapters, but the course teaches you how to direct AI rather than write code from scratch.

What AI tools does the course assume?

Claude, Cursor, Claude Code, v0, and Figma Make are covered. The principles transfer to other tools — the prompts and rubrics are tool-agnostic.

Will this be outdated in six months?

Tooling will shift; the mental models and review habits won't. The case-study chapter is refreshed quarterly at no extra cost.

How long will it take to finish?

Around 16 hours of video plus exercises. Most learners take 4–6 weeks at a comfortable pace.

Is this for designers or developers?

Both — the course is built for the design-engineering middle ground, where most product work actually happens.

What's your refund policy?

See the refund policy page. In short: within 7 days of purchase if you haven't completed more than 25% of the course.

₹24,000

₹18,000

Lifetime access. Updates included.

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