How much does zuzu.codes cost?

The starter track is free — read all lessons and practice for free. Full access to every track (current and future) is $14.99/month. Cancel anytime.

How long does each track take?

Each track is designed as a 30-day challenge — one lesson per day, about 15 minutes each. Go at your own pace, but the structure is built around daily consistency.

What's the lesson format?

Each lesson is a student-teacher dialogue with code examples, followed by a hands-on code challenge in an in-browser editor. You read, you understand, then you write real code.

Do I need prior coding experience?

Our beginner track starts from absolute zero — no prior experience needed. Advanced tracks build on earlier ones, and the platform tells you exactly where to start.

How is zuzu.codes different from freeCodeCamp or Codecademy?

zuzu.codes uses a structured 30-day track format with dialogue-based teaching, an in-browser code editor, and gamification (XP, streaks, progress tracking). The format builds genuine understanding through daily practice.

Day 30 · ~11 min●

Thirty days ago you rated yourself on six workflow skills. Today you rate yourself again — same questions, same scale. Then we see the gap.

I ran the capstone this morning. One function: reads the KPI Sheet, drafts the digest email, creates the Calendar event for Tuesday's QBR prep. My team got the email before I was out of bed.

That function connected three live apps — Sheets, Gmail, Calendar — in one call. Thirty days ago you said APIs sounded like engineering territory. Rate yourself on what you can actually do now, not what you wish you could.

I want to see the delta. And then I want to start the AI track.

Same six rows. Answer honestly. And yes — the AI track starts where this one ends.

What you built

30 days, 20 code lessons, 1 real workflow pipeline.

From first inbox read to full Monday automation

Week 1 — Gmail: counted inbox messages, fetched email details, searched by query, drafted and sent emails
Week 2 — Calendar + Tasks: listed calendars, found upcoming events, created QBR events, managed task lists
Week 3 — Sheets, Docs, Slides: read KPI ranges, appended weekly snapshots, searched spreadsheets, created strategy docs
Week 4 — Cross-app workflows: Sheets → email digest, Calendar → task creation, Doc → LinkedIn post, error handling, capstone

What the chart shows

Column	Meaning
Left bar	Day 1 self-rating
Right bar	Today's rating
Gap	Real, measurable growth

Ahead: ai-for-professionals starts where this track ends. The first thing you meet there is a PydanticAI agent that summarises a meeting transcript into structured action items.

Sign up to practice

Create a free account to get started. Paid plans unlock all tracks.

Day 30 · ~11 min●

Thirty days ago you rated yourself on six workflow skills. Today you rate yourself again — same questions, same scale. Then we see the gap.

I ran the capstone this morning. One function: reads the KPI Sheet, drafts the digest email, creates the Calendar event for Tuesday's QBR prep. My team got the email before I was out of bed.

I want to see the delta. And then I want to start the AI track.

Same six rows. Answer honestly. And yes — the AI track starts where this one ends.

What you built

30 days, 20 code lessons, 1 real workflow pipeline.

From first inbox read to full Monday automation

Week 1 — Gmail: counted inbox messages, fetched email details, searched by query, drafted and sent emails
Week 2 — Calendar + Tasks: listed calendars, found upcoming events, created QBR events, managed task lists
Week 3 — Sheets, Docs, Slides: read KPI ranges, appended weekly snapshots, searched spreadsheets, created strategy docs
Week 4 — Cross-app workflows: Sheets → email digest, Calendar → task creation, Doc → LinkedIn post, error handling, capstone

What the chart shows

Column	Meaning
Left bar	Day 1 self-rating
Right bar	Today's rating
Gap	Real, measurable growth

Ahead: ai-for-professionals starts where this track ends. The first thing you meet there is a PydanticAI agent that summarises a meeting transcript into structured action items.

What you built

30 days, 20 code lessons, 1 real workflow pipeline.

From first inbox read to full Monday automation

Week 1 — Gmail: counted inbox messages, fetched email details, searched by query, drafted and sent emails

Week 2 — Calendar + Tasks: listed calendars, found upcoming events, created QBR events, managed task lists

Week 3 — Sheets, Docs, Slides: read KPI ranges, appended weekly snapshots, searched spreadsheets, created strategy docs

Week 4 — Cross-app workflows: Sheets → email digest, Calendar → task creation, Doc → LinkedIn post, error handling, capstone

What the chart shows

Column	Meaning
Left bar	Day 1 self-rating
Right bar	Today's rating
Gap	Real, measurable growth

Ahead: ai-for-professionals starts where this track ends. The first thing you meet there is a PydanticAI agent that summarises a meeting transcript into structured action items.

What you built

30 days, 20 code lessons, 1 real workflow pipeline.

From first inbox read to full Monday automation

Week 1 — Gmail: counted inbox messages, fetched email details, searched by query, drafted and sent emails

Week 2 — Calendar + Tasks: listed calendars, found upcoming events, created QBR events, managed task lists

Week 3 — Sheets, Docs, Slides: read KPI ranges, appended weekly snapshots, searched spreadsheets, created strategy docs

Week 4 — Cross-app workflows: Sheets → email digest, Calendar → task creation, Doc → LinkedIn post, error handling, capstone

What the chart shows

Column	Meaning
Left bar	Day 1 self-rating
Right bar	Today's rating
Gap	Real, measurable growth

Ahead: ai-for-professionals starts where this track ends. The first thing you meet there is a PydanticAI agent that summarises a meeting transcript into structured action items.