Is CodeMentor AI free?

The first 15 Python lessons are free with no signup and no credit card. After that, the 7-day Pro trial unlocks every track; cancel anytime. Pro is $12/month or $89/year. There's also a $5/month Student plan with .edu verification.

Can I learn Python without installing anything?

Yes. Every lesson runs Python in your browser — Skulpt for lightweight lessons and Pyodide (full CPython) on the playground. No Anaconda, no pyenv, no terminal commands. Open the page and hit Run.

Is CodeMentor AI good for complete beginners?

Yes — the Foundations track starts with print('Hello, World!') and assumes zero programming background. The first 15 lessons are free to verify the difficulty curve matches you before any signup.

Does the AI tutor replace a human mentor?

It replaces 80% of "I'm stuck at 21:00 and Stack Overflow scared me" moments. You get hints calibrated to your code + a chat for follow-up questions. For project review and career advice the team also answers support@learnpython.academy directly.

Can I learn Python for an AI engineering job?

Yes. The AI Engineering track covers production patterns the US dev community uses in 2026 — Claude/LLM APIs, tool use, RAG, agent loops, prompt caching, evals, voice agents. Build production AI features end-to-end.

Are the courses available in languages other than English?

Yes — the platform UI and most lessons are translated into 18 languages including Ukrainian, Russian, Polish, German, French, Spanish, Portuguese, and more. Pick yours in the language switcher.

← All learning paths

📊

Accountant → backend Python — 9 months part-time

282 lessons · ~216h · 36-40 weeks · starter

⏱ How long will this take you? ~216h total → 15 weeks at 15h/week (the title's pace) · 22 weeks at 10h/week · 54 weeks at 4h/week (45 min/day, 5 days). Pick the row that matches your real schedule.

Your progress

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Outcome

From spreadsheets to shipping a production-grade FastAPI app + STAR interview answers. Tue/Thu evening + Saturday morning. Honest timeline for a working 30+ professional.

Why this path

The career-switcher segment we hear from most: 32-ish, full-time job (often finance / accounting / ops), can't quit, wants real backend skills not toy tutorials. Existing 90-day paths assume 15h/week of focused study — Sarah has 6h/week realistically. Stretching the same curriculum to 9 months means lessons land + stick + don't punish missed Saturdays. Capstone is one shipped project that turns Excel pain into a deployed tool — exactly the work she does today, but in Python.

Resume bullet (when finished)

“Re-skilled from accounting (8 yrs Big4) to Python backend in 9 months, part-time. Built and shipped a multi-user FastAPI + Postgres app automating month-end close, with auth + tests + Docker deploy. Switched to junior backend role at [company].”

Stages (7)

STAGE 1

Month 1-2 · Python foundations (Tue/Thu eve + Sat AM)

~48h · 60 lessons

+ 54 more lessons in this stage

STAGE 2

Month 3 · OOP, errors, files — read other people's Python

~24h · 50 lessons

+ 44 more lessons in this stage

STAGE 3

Month 4 · Automate your current Excel/CSV pain

~24h · 30 lessons

+ 24 more lessons in this stage

STAGE 4

Month 5-6 · FastAPI + Postgres — your first REST service

~48h · 50 lessons

+ 44 more lessons in this stage

STAGE 5

Month 7 · System design basics + Docker deploy

~24h · 40 lessons

+ 34 more lessons in this stage

STAGE 6

Month 8 · Build the capstone — close-the-books-faster app

~24h · 21 lessons

+ 15 more lessons in this stage

STAGE 7

Month 9 · Interview prep + STAR + mock loop

~24h · 31 lessons

+ 25 more lessons in this stage

Ready to start?

Start with the first lesson →