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 AI skills. Today you rate yourself again — same questions, same scale. Then we see the gap.

I ran the capstone on a real transcript from last Tuesday's exec sync. Extracted seven action items, all with owners and due dates. Formatted the email. My COO asked who sent such a clean follow-up.

That agent extracted typed ActionItem objects, formatted them into a Monday-send email body, and surfaced the open questions nobody had captured. Thirty days ago you said extracting commitments from a transcript required human judgment. Rate yourself on what you can actually do now.

I want to see the delta. And then I want to build the performance review drafter.

Same six rows. Answer honestly. The next thing you build is entirely yours to design.

What you built

30 days, 20 code lessons, 1 real AI agent.

From first agent call to full meeting summariser

Week 1 — Basic agents: first Agent(model).run_sync(prompt), output processing, system prompts for summarisation and classification, chaining two agents
Week 2 — Structured output: Pydantic model extraction, Literal classification, list output, multi-field triage tickets
Week 3 — Pipelines and batch: two personas, full summarise→classify pipeline, batch classification, batch word counts
Week 4 — Search, tools, and capstone: web search with Perplexity, research + extract, tool-calling agents, two-tool agents, capstone meeting summariser

What the chart shows

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

Ahead: You now have all three layers — Python fundamentals, workflow automation, and AI agent building. The next project is yours to define.

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 AI skills. Today you rate yourself again — same questions, same scale. Then we see the gap.

I ran the capstone on a real transcript from last Tuesday's exec sync. Extracted seven action items, all with owners and due dates. Formatted the email. My COO asked who sent such a clean follow-up.

I want to see the delta. And then I want to build the performance review drafter.

Same six rows. Answer honestly. The next thing you build is entirely yours to design.

What you built

30 days, 20 code lessons, 1 real AI agent.

From first agent call to full meeting summariser

Week 1 — Basic agents: first Agent(model).run_sync(prompt), output processing, system prompts for summarisation and classification, chaining two agents
Week 2 — Structured output: Pydantic model extraction, Literal classification, list output, multi-field triage tickets
Week 3 — Pipelines and batch: two personas, full summarise→classify pipeline, batch classification, batch word counts
Week 4 — Search, tools, and capstone: web search with Perplexity, research + extract, tool-calling agents, two-tool agents, capstone meeting summariser

What the chart shows

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

Ahead: You now have all three layers — Python fundamentals, workflow automation, and AI agent building. The next project is yours to define.

What you built

30 days, 20 code lessons, 1 real AI agent.

From first agent call to full meeting summariser

Week 1 — Basic agents: first Agent(model).run_sync(prompt), output processing, system prompts for summarisation and classification, chaining two agents

Week 2 — Structured output: Pydantic model extraction, Literal classification, list output, multi-field triage tickets

Week 3 — Pipelines and batch: two personas, full summarise→classify pipeline, batch classification, batch word counts

Week 4 — Search, tools, and capstone: web search with Perplexity, research + extract, tool-calling agents, two-tool agents, capstone meeting summariser

What the chart shows

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

Ahead: You now have all three layers — Python fundamentals, workflow automation, and AI agent building. The next project is yours to define.

What you built

30 days, 20 code lessons, 1 real AI agent.

From first agent call to full meeting summariser

Week 1 — Basic agents: first Agent(model).run_sync(prompt), output processing, system prompts for summarisation and classification, chaining two agents

Week 2 — Structured output: Pydantic model extraction, Literal classification, list output, multi-field triage tickets

Week 3 — Pipelines and batch: two personas, full summarise→classify pipeline, batch classification, batch word counts

Week 4 — Search, tools, and capstone: web search with Perplexity, research + extract, tool-calling agents, two-tool agents, capstone meeting summariser

What the chart shows

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

Ahead: You now have all three layers — Python fundamentals, workflow automation, and AI agent building. The next project is yours to define.