Python, from first lineto first AI agent.
Real Python, the language of AI, data science and half the software industry, taken from print('hello') to a deployed machine-learning project with a GitHub portfolio.
In Session 1, they write and run their first real program. By the final session, they're demoing a machine-learning app from their own GitHub.
What lands in their hands
Not worksheets. These.
Every NEbots session ends with something working. These are the builds families talk about.
A secret-message cipher tool
A working Caesar cipher, with string handling taught the spy way.
An app that remembers
A diary / expense tracker that saves to disk and survives a restart. Their first real software.
A data story with live charts
A real dataset, three charts, one written insight, then published as a shareable web dashboard.
A machine-learning model in Python
scikit-learn, trained on data they chose, making real predictions.
Their first AI agent
A program that decides for itself when to use a calculator or a search tool. Agentic AI, hands on.
The 24-session trail
From first spark to showcase day
By the end of this phase: They think in code: sequence, selection, iteration, abstraction. The CBSE/ISC core, but built, not memorised.
By the end of this phase: Programs that survive bad input and closed laptops, plus a GitHub account with real commits.
By the end of this phase: They collect, clean, chart and publish data, the single most employable skill on this page.
By the end of this phase: They've trained, evaluated and questioned real models, including one they proved was biased.
By the end of this phase: A deployed capstone, a portfolio link for college applications, and a map of where this leads.
The honest numbers
What 24 sessions actually buy
sessions from zero Python to a working ML capstone
GitHub portfolio, the credential colleges and employers actually open
domains covered: software, data science, machine learning & agents
in software costs. Every tool is free and industry-standard
Parents ask us
Fair questions, straight answers
How does this fit board exams?
Python is the prescribed language for CBSE Class 11-12 Computer Science and central to the new CISCE Robotics & AI subject. CodeCanopy runs deeper than the board syllabus, so students walk into those exams having already built what the textbook describes.
No coding background: can they start?
Yes. Session 1 assumes nothing. The pace is brisk because every concept is drilled through a build the same day.
What's the full session plan?
All 24 sessions with skills, builds and grade-focus mapping are shared at your free demo class.
What makes this different from a YouTube course?
A mentor in the room, a cohort to build alongside, deadlines that are showcases instead of guilt, and a certificate backed by a demonstrated, public project.
Then what?
Next: RoboRoots
Give the software a body. ESP32, IoT and camera-based AI. Ages 14-18.
The first session is free.
The first build is theirs.
Book a demo class at your school or our studio in Naharlagun. They build something real before you decide anything.