Certificate Course in Coding for Junior
Junior Innovation Track – 3-Month Curriculum (Python + AI + Data). Celltron Artificial Intelligence Lab – Empowering Minds, Building Nations
Dealine: 2025-11-30
Course Description
Key
Program Information
|
Category |
Details |
|
Eligibility |
Students in Grades 9–12, HSC, A-Level, or Adults |
|
Prerequisites |
No prior coding or AI experience required |
|
Course Duration |
3 Months (12 Weeks, 24 Classes, 2 Classes per Week) |
|
Class Duration |
90 minutes per class |
|
Delivery Mode |
Online / Offline (depending on availability) |
|
Tools & Software |
Python, Power BI, Tableau, Google Teachable Machine,
Excel / Google Sheets |
|
Learning Outcomes |
1. Understand AI concepts, machine learning, and
business intelligence 2. Develop Python programming skills for predictive
analytics 3. Create interactive dashboards and visualizations 4. Apply AI and
BI for problem-solving in real-world scenarios 5. Build a portfolio of 6
professional projects |
|
Project Highlights |
Chatbot Project, Dashboard Project, ML Prediction
Model, BI Analysis Project, AI Problem-Solving Case, Capstone AI Project |
|
Support |
Mentorship and step-by-step guidance for all
projects |
|
Certification |
Certificate of Completion + Capstone Showcase
Recognition |
Module 1: Think Like a Computer – Logic & Computational Thinking (Python Prep)
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 1 |
Class 1 |
Introduction to Innovation & Logic |
Understand what logic is and how computers follow
steps |
Fun “If–Then” logic game (offline activity) |
|
Class 2 |
Sequencing & Pattern Recognition |
Identify and create patterns; sequence instructions |
Create your own “Robot Dance” sequence using step
instructions |
|
|
Week 2 |
Class 3 |
Algorithms & Decomposition |
Learn how big problems can be broken into smaller
steps |
Write an algorithm for brushing teeth, making a
sandwich, or simple daily task |
|
Class 4 |
Introduction to Python Basics |
Learn Python syntax for print, input, and simple
calculations |
Write a program that asks user name and prints a
greeting |
|
|
Mini-Project: Logic Puzzle Game |
— |
Apply logic and basic Python |
Combine logic, sequencing, and simple Python
commands |
Project 1: “Logic Quest” – a mini Python program with questions/puzzles
using if–else logic |
Module 2: Coding Foundations (Python)
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 3 |
Class 5 |
Understanding Variables & Inputs |
Learn how Python stores and uses data; take input
from users |
Create a “Name Greeting” program that asks user name
and responds |
|
Class 6 |
Loops & Repetition |
Learn how for and while loops work to repeat actions |
Animate shapes or print patterns repeatedly using
Python |
|
|
Week 4 |
Class 7 |
Conditions & Decisions (if–elif–else) |
Learn decision-making using conditional statements |
Build a simple “Math Quiz” that gives feedback based
on answers |
|
Class 8 |
Functions & Simple Modules |
Learn how to create reusable blocks of code |
Write a program with a function to calculate area or
greet users |
|
|
Mini-Project: Interactive Python Story / Quiz |
— |
Combine variables, loops, conditions, and functions |
Apply Python concepts to a fun interactive program |
Project 2: “Adventure Quiz” or “Choose Your Path”
Python Game |
Module 3: Creative Python Projects – Animation & Game Design
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 5 |
Class 9 |
Introduction to Game Design in Python |
Learn basic game mechanics: movement, score, goals |
Move a sprite or character using Python (Turtle /
Pygame basics) |
|
Class 10 |
Motion, Sound & Interactivity |
Add motion and sound to Python projects |
Build a “Catch the Fruit” mini-game using Python |
|
|
Week 6 |
Class 11 |
Levels & Difficulty |
Learn to increase difficulty with variables and
loops |
Add multiple levels or speed challenges to mini-game |
|
Class 12 |
User Interface & Creativity |
Explore simple UI design in Python |
Finalize game aesthetics (color, score, interaction) |
|
|
Mini-Project: Python Game / Animation |
— |
Combine coding skills into an interactive project |
Encourage creativity and problem-solving |
Project 3: “My First Python Game / Animation” |
Module 4: AI for Kids – Smart Machines & Ethics
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 7 |
Class 13 |
What is AI? Understanding Smart Machines |
Discover examples of AI in everyday life |
Group discussion: “AI Around Us” |
|
Class 14 |
How Machines Learn (Patterns & Data) |
Understand training data, prediction, and patterns |
“Train the Model” paper exercise |
|
|
Week 8 |
Class 15 |
Hands-on: Google Teachable Machine |
Train a simple AI model (image/sound recognition) |
Create a model to detect emotions, sounds, or
objects |
|
Class 16 |
AI Ethics & Bias |
Explore fairness, privacy, and bias in AI |
Debate: “Should Robots Replace Teachers?” |
|
|
Mini-Project: Smart AI Concept |
— |
Combine Python skills + AI concepts |
Apply creativity and AI understanding |
Project 4: AI Mini Demo or Poster (“Smart Pet” / “Smart Waste Sorter”) |
Module 5: Data Detectives – From Numbers to Insights
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 9 |
Class 17 |
What is Data? Collection & Organization |
Learn how data is collected, stored, and organized |
Collect class data (favorite fruits, hobbies) |
|
Class 18 |
Visualizing Data (Charts & Graphs) |
Create visuals using Python libraries (matplotlib)
or Excel |
Make bar and pie charts |
|
|
Week 10 |
Class 19 |
Data Patterns & Insights |
Analyze data to find trends |
Interpret results (e.g., “Most popular fruit in
class”) |
|
Class 20 |
Linking Data to AI |
Understand how AI uses data to make predictions |
Simple demo: “How AI predicts weather or trends” |
|
|
Mini-Project: Data Tracker |
— |
Combine coding + data visualization |
Build a small data-driven project |
Project 5: “My Data Story” (Python or Excel tracker) |
Module 6: Innovation Showcase – My AI-Powered World
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 11 |
Class 21 |
Brainstorming & Design Thinking |
Identify real-world problems and brainstorm
solutions |
Mind-map ideas for “AI for Good” project |
|
Class 22 |
Prototype & Build |
Combine previous learning (Python + AI + Data) |
Work on final project in teams |
|
|
Week 12 |
Class 23 |
Testing & Presentation Skills |
Learn how to present ideas effectively |
Prepare slides, poster, or Python demo |
|
Class 24 |
Final Showcase |
Present projects to peers/teachers/parents |
“AI for Education” or “AI for Environment” fair |
|
|
Final Capstone: AI for Good Showcase |
— |
Celebrate and reflect on learning journey |
Develop creativity, confidence, and tech literacy |
Project 6: “My AI Innovation” |