Hi, I'm Safikul 👋
As parents, we don't just want our children to pass the next exam. We want them to grow into curious, confident people who can understand technology instead of only consuming it. I'm a software developer based here in Cooch Behar, and I'll help your child learn by writing real Python, solving problems, exploring how AI works, and building projects they can proudly explain — one small achievement at a time.
def say_hello(name):
return f"Hello, {name}!"
# My first program!
print(say_hello("Cooch Behar"))
→ Hello, Cooch Behar!
Week 1: Real Python! 🐍
From the first weekend, your child writes Python, solves small problems, tests ideas, and builds programs they can proudly explain at home.
Your child learns from a developer who has been building software since 2016, including 5 years of hands-on AI application work — with difficult ideas made understandable without watering them down.
Students predict what their code should do, investigate why it fails, test a fix, and explain the reasoning — instead of simply copying a finished solution.
Why Python for your child?
Python is beginner-friendly without being a toy language. Children can start with simple programs, then keep using the same language as they grow into data, automation, and AI projects.
That means less time switching between learning environments, and more time developing the habits that matter: breaking problems into steps, testing ideas, finding bugs, and improving their work.
What a parent sees: your child moves from “What do I click?” to “What should the program do, and how can I make it work?”
Readable code lets beginners focus on logic and ideas before worrying about too much syntax.
The same language can take them from first programs to data work, automation, and AI.
Children learn to read errors, form a hypothesis, test one change, and explain what happened.
Because Python is widely used in data and AI, students can connect coding foundations directly to later AI projects.
Curious → Capable → Confident
No Scratch detour. Students begin with real Python, learn to think with data, explore how AI works and fails, then spend three full weeks building and presenting a capstone project.
Students start coding from Week 1 — input, variables, decisions, loops, functions, lists, testing and debugging. The goal is not memorising syntax; it is learning how to turn a problem into working logic.
What a parent sees: Your child stops saying “it doesn't work” and starts saying, “I think the problem is here because…”
Students learn examples, features, labels and classification; train a tiny model; deliberately make it fail with weak data; then explore generative AI, hallucinations, prompting and verification.
What a parent sees: Your child can explain why AI can be useful and wrong — and why checking the result matters.
For the final three weeks, students choose a user and a real problem, scope a small solution, build a working prototype, test it with another person, fix bugs and present it on Demo Day.
What a parent sees: Not a certificate-only ending — a project your child can demonstrate, defend and explain in their own words.
The moment that matters
Ask, “Show me what you built — and explain how it works.”
That ability to explain is part of this journey. Building, debugging and understanding matter more than simply producing an impressive-looking screen.
What changes over 12 weeks?
Instead of freezing at a big task, students learn to split it into smaller, testable steps.
They learn to predict, test one thing, inspect results and explain what changed.
Students practise checking claims and understanding that confident AI can still be wrong.
A finished project counts more when the child can describe the logic, bugs, fixes and decisions behind it.
AI is already part of their world
Students first learn how AI systems use examples and data, then train a tiny model and deliberately make it fail. Only after that do we move to generative AI — where they learn prompting, hallucinations, verification, and responsible use.
This part of the journey comes from my own hands-on experience: I've spent about 5 years building AI applications. I use that practical background to choose approachable examples, explain what is happening behind the tool, and keep the focus on understanding rather than hype.
Think before trusting
Learn to question outputs instead of accepting every AI answer.
Use AI to create
Explore ideas and projects while keeping the child in control of the thinking.
Use it responsibly
Discuss sensible boundaries, mistakes, and why human judgment matters.
Explain what they made
A project matters more when a child can explain the idea behind it.
Human judgment at the centre
A healthier AI habit
1 Think before asking AI.
2 Ask with a clear goal and context.
3 Check, improve, and explain the result yourself.
Who will teach your child?
My name is Safikul. I'm a software developer based here in Cooch Behar. I've been building software since 2016, including about 5 years building AI applications. That work has given me practical experience turning ideas into reliable software and using AI where it genuinely adds value.
PixyDelta is my way of bringing that practical experience into a learning environment for children — without overwhelming them with professional jargon. We start directly with Python, build strong programming and debugging habits, then move into data, AI experiments, and a three-week capstone project.
I teach the way I wish I had been taught — by building real things, making mistakes, asking why something works, and learning by doing. The goal isn't to turn a child into an AI expert in 12 weeks. It's to give them a genuine foundation in programming, AI literacy and independent building — guided by someone who works with these technologies professionally.
Who
Classes 6 to 9
When
Saturday & Sunday
Duration
1.5 - 2 hours per session
Location
Cooch Behar (venue details on enrollment)
Requirement
Bring your own laptop
Journey structure
5 weeks Python · 4 weeks AI · 3 weeks Capstone
Final outcome
Working project + Demo Day
Confidence grows when a child can say, “I figured it out.”
Give your child a place to write real code, make mistakes safely, question AI outputs, and build something of their own. By Demo Day, they should be able to say, “I built this — and I can explain it.”
Review the Learning Journey