Grade 9 — AI Literacy + Python 🤖
Students explain responsible AI, explore data, write Python basics and complete an AI-themed mini-project.
1 Week 1
AI Around Us in India
Identify everyday AI and where it helps or harms people.
▶ Start now
2 Week 2
AI vs Traditional Programming
Compare rule-based programs with systems that learn from data.
▶ Start now
3 Week 3
Data, NLP and Computer Vision
Describe three AI domains with school and India-themed examples.
▶ Start now
4 Week 4
Responsible AI: Bias and Privacy
Explain bias, consent and privacy in student-friendly AI use.
▶ Start now
5 Week 5
Problem Scoping with 4Ws
Frame an AI problem using who, what, where and why.
▶ Start now
6 Week 6
Data Acquisition
Plan ethical ways to collect useful, minimal data.
▶ Start now
7 Week 7
Data Exploration
Inspect a small dataset for columns, patterns and missing values.
▶ Start now
8 Week 8
Checkpoint: AI Case Clinic
Apply the project cycle to improve a proposed AI solution.
▶ Start now
9 Week 9
Data Types and Cyber-Safety
Distinguish numeric, categorical and personal data safely.
▶ Start now
10 Week 10
Reading Charts
Interpret bar, line and pie charts without misleading claims.
▶ Start now
11 Week 11
Making Charts with Python
Create clear charts from small tables using Python.
▶ Start now
12 Week 12
Mean, Median and Mode
Use averages to summarize data and spot outliers.
▶ Start now
13 Week 13
Spread and Standard Deviation
Explain variation using range and standard deviation intuition.
▶ Start now
14 Week 14
Probability Basics
Estimate chance and uncertainty using simple probability.
▶ Start now
15 Week 15
Sampling and Bias
Show how poor samples can produce unfair AI results.
▶ Start now
16 Week 16
Data Storytelling
Turn data into a short, honest insight for an audience.
▶ Start now
17 Week 17
AI Project Communication and Green Skills
Apply communication, self-management, ICT, entrepreneurship and green skills to an AI mini-context.
▶ Start now
18 Week 18
Fast Recap and New-Joiner Onboarding
Refresh Pyodide, variables and errors, with short onboarding support for new joiners.
▶ Start now
19 Week 19
Variables as Features
Use variables and arithmetic as features for small AI decisions.
▶ Start now
20 Week 20
Text Cleaning for AI
Apply strings to clean labels, names and short survey text.
▶ Start now
21 Week 21
Rule-Based Baselines
Use if-else as a transparent baseline before ML models.
▶ Start now
22 Week 22
Loops for Data Processing
Use loops to process repeated rows in small datasets.
▶ Start now
23 Week 23
Validation Loops
Use while loops for safe validation without storing personal data.
▶ Start now
24 Week 24
Lists as Mini-Datasets
Use lists to store, index and update small AI-ready datasets.
▶ Start now
25 Week 25
Feature Summaries
Compute simple summaries that can become model features.
▶ Start now
26 Week 26
Debugging AI-Assisted Code
Trace code, find bugs and improve readable AI-data scripts.
▶ Start now
27 Week 27
How LLMs Work
Explain LLM prediction at a high level without anthropomorphism.
▶ Start now
28 Week 28
Prompt Engineering Basics
Write clear prompts with role, task, context and constraints.
▶ Start now
29 Week 29
Hallucinations and Verification
Check AI outputs against evidence before using them.
▶ Start now
30 Week 30
Images, Music and Deepfakes
Discuss synthetic media risks, labels and respectful creation.
▶ Start now
31 Week 31
Project Scoping Sprint
Choose a small AI-themed Python and GenAI project with success criteria.
▶ Start now
32 Week 32
Build Sprint
Create a working browser-based prototype and use a school-provided AI assistant responsibly.
▶ Start now
33 Week 33
Testing and Reflection
Test the project, document limitations and improve fairness.
▶ Start now
34 Week 34
End-Year AI Literacy Showcase
Present a mini-project and explain responsible choices.
▶ Start now
CodeShaala · TechWave Academy Labs — real coding for every Indian school.