CBSE School Curriculum - Computational Thinking & Artificial Intelligence
CBSE Computational Thinking & AI Masterclass for Kids (Classes 3-8)
From Curiosity to Creating AI — The Future-Ready Child Starts Here!
Ready to Master CBSE Computational Thinking & AI Course for Kids (Classes 3-8) | Complete Beginner to AI Project Builder?
Choose your plan and start your journey into the future of technology today.
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Program Overview
The Central Board of Secondary Education (CBSE) has officially integrated Computational Thinking and Artificial Intelligence into the foundational and middle school curriculum as a core 21st-century skill. This comprehensive 9-month program is specifically designed to give your child a deep, hands-on mastery of both Computational Thinking and AI — completely aligned with CBSE's framework, NCERT's AI handbooks, and the National Education Policy (NEP) 2020.
Your child will learn to think like a scientist, reason like a mathematician, solve like an engineer, and create like an AI researcher. Starting with unplugged thinking activities (no screens!), we gradually introduce Scratch block coding, AI concepts through stories and games, Google's Teachable Machine, the official CBSE AI Project Cycle (Problem Scoping with 4Ws → Data Acquisition → Data Exploration → Modelling → Evaluation), AI Ethics, Sustainable Development Goals (SDGs), and culminate in real AI projects your child will proudly showcase.
By the end, your child will have built 50+ projects, understood how Netflix, Alexa, YouTube and self-driving cars really work, and will be fully prepared for CBSE AI Class 9 (Code 417) and later AI Class 11-12 (Code 843).
What Makes This Program Different
- 100% aligned with the official CBSE Computational Thinking & AI framework
- Separate, age-appropriate tracks for Classes 3-5 and Classes 6-8
- Follows the CBSE AI Project Cycle methodology used in board curriculum
- Mix of unplugged (no-screen) and plugged (digital) activities — healthy screen time
- Uses exact tools CBSE recommends: Scratch, Teachable Machine, Code.org, MIT App Inventor, Python (for Class 8)
- Direct preparation for CBSE AI Class 9-10 (Code 417) & Class 11-12 (Code 843)
- AI Ethics, Bias, Privacy & SDG integration from day one
- Live expert-led classes + parent progress reports + project showcase days
- 50+ original AI & CT projects for school portfolio and competitions
- Compatible with Atal Tinkering Lab (ATL) and CBSE AI School projects
Your Learning Journey
Phase 1
Foundation (Months 1-3): Unplugged Computational Thinking, Scratch Basics, What is AI? (Classes 3-5 level)
Phase 2
Building (Months 4-6): Advanced Scratch, AI Domains (CV/NLP/Data), Teachable Machine, AI Project Cycle (Classes 6-8 level)
Phase 3
Creating (Months 7-8): Real AI Projects, Python intro, Ethics & SDG AI Solutions, Mini-hackathon
Phase 4
Mastery (Month 9): CBSE-style AI Capstone Project, Portfolio, Certification & Transition to CBSE AI Class 9 (417)
Career Progression
1
Strong foundation for CBSE AI Class 9-10 (Subject Code 417)
2
Strong foundation for CBSE AI Class 11-12 (Subject Code 843)
3
Eligible for National AI Olympiads, CBSE AI Hackathons, ATL Marathons
4
Future pathway to AI Engineer, Data Scientist, ML Researcher, Robotics Engineer
5
Improved performance in Maths, Science & English (verified by 87% of parents)
6
School portfolio with 50+ documented AI & CT projects
Detailed Course Curriculum
Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.
📚 Topics Covered
- What is Computational Thinking? (Definition as per CBSE/NCERT framework)
- How do computers 'think'? (Simple explanation for kids)
- Difference between a human brain and a computer
- The 4 pillars of CT: Decomposition, Pattern Recognition, Abstraction, Algorithms
- Real-life CT: Brushing teeth, making sandwich, getting ready for school
- CT all around us: Traffic signals, recipes, board games
- Growth mindset & making mistakes — the scientist way
- Introduction to the CBSE CT framework (age-appropriate)
- Thinking journal: Your child's first CT diary
- Family CT challenge: Find 5 algorithms at home
🚀 Projects
- Create a 'How I Get Ready for School' step-by-step poster
- Break down making Maggi into 10 precise steps (Decomposition)
- CT Thinking Diary — daily entries for a week
💪 Practice
Daily 10-minute unplugged CT game from our parent pack
📚 Topics Covered
- What is Decomposition?
- Why decomposition matters (examples: school projects, cleaning room)
- Decomposing a drawing into shapes
- Decomposing a birthday party plan
- Tree diagrams and mind maps for decomposition
- Decomposing a school timetable
- Decomposing a game into rules
- Practice: Decompose 10 everyday tasks
- When decomposition helps (and when it doesn't)
- Team decomposition: Family project breakdown
🚀 Projects
- Decompose your favorite board game into its smallest rules
- Plan a pretend birthday party using only decomposition
- Create a decomposition poster for any Class subject
💪 Practice
Decompose one new task every day — parent signs logbook
📚 Topics Covered
- What are patterns? (Visual, numerical, behavioral, musical)
- Patterns in nature: leaves, flowers, honeycomb, zebra stripes
- Patterns in math tables (2, 5, 10 tables)
- Patterns in Indian festivals & seasons
- Spotting patterns in stories & rhymes
- Patterns in our daily routine
- Why AI uses pattern recognition (face unlock, Netflix recommendations)
- Pattern puzzles and Sudoku for kids (4x4)
- Creating your own patterns
- Pattern break: Finding the 'odd one out'
🚀 Projects
- Pattern hunt journal — photograph 20 patterns around you
- Design a Rangoli using mathematical patterns
- Create a pattern-based memory game
💪 Practice
Spot 5 new patterns daily
📚 Topics Covered
- What is Abstraction? (Keeping important, ignoring rest)
- Maps as abstractions (Metro map, school map)
- What is an Algorithm? Step-by-step instructions
- Recipes as algorithms
- Algorithms for brushing teeth, tying shoelaces
- Sequence matters — why order is important
- Introduction to Flowcharts (shapes and arrows)
- First flowchart: Morning routine
- Writing your first algorithm on paper
- Robot Game: Human Robot — algorithms in action
🚀 Projects
- Write the 'Perfect Algorithm' for making your favorite food
- Design a flowchart adventure story
- Program your family to be 'robots' and follow your algorithm
💪 Practice
Write one algorithm per day for any daily task
📚 Topics Covered
- Introduction to Scratch (MIT) — why CBSE recommends it
- Scratch interface tour: Stage, Sprites, Blocks, Scripts
- Motion blocks: Move, turn, glide
- Your first Scratch program: Make the cat dance
- Saving and managing Scratch projects
- Scratch account creation (parent-supervised)
- Connecting CT to Scratch: Every program = an algorithm
- Changing costumes & backgrounds
- Sound blocks — making your sprite speak in Hindi/English
- First creative project: Digital greeting card
🚀 Projects
- Animated birthday card for a family member
- Dancing cat in 5 different backgrounds
- Digital storybook cover with your name
💪 Practice
Explore one new Scratch block daily
📚 Topics Covered
- Events in Scratch: 'When flag clicked', key press, sprite click
- Loops: Repeat, forever (why loops save time)
- Real-life loops: brushing teeth 20 times, school bell rings 6 times
- Nested loops for patterns
- Pen tool — drawing geometric shapes with code
- Drawing squares, triangles, hexagons with loops
- Spiral drawings with loops
- Variables introduction — boxes that hold information
- Score counter in a simple game
- Name input using 'Ask' block
🚀 Projects
- Geometric art generator (shapes with pen + loops)
- Simple counting game
- Animated alphabet learning app
💪 Practice
Create one new looping animation daily
📚 Topics Covered
- If-then blocks — decisions in code
- If-else blocks — choosing between two options
- Comparison: Less than, greater than, equal to
- Interactive stories with choices
- Keyboard-controlled sprites
- Sprite-to-sprite interaction (touching, bouncing)
- Adding sound effects for actions
- Timer and countdown
- Changing background on condition
- Branching storylines
🚀 Projects
- 'Choose Your Adventure' interactive story
- Keyboard-controlled character runner
- Quiz game with If-Else logic (Science or GK quiz)
💪 Practice
Add If-Else logic to previous projects
📚 Topics Covered
- Game design basics for kids
- Planning: storyboarding before coding
- Combining motion, events, loops, conditions
- Scoring systems
- Lives and Game Over screens
- Winning and losing conditions
- Play-testing & debugging
- Sharing with friends and family
- Publishing to Scratch studio
- Presenting your project
🚀 Projects
- CAPSTONE 1: Complete Scratch game (Catch the Stars, Maze Runner, or Pong)
- Record a project showcase video (2 mins)
- Write a simple README for your game
🎯 Assessment
Phase 1 Mid-Milestone: Scratch Project Certification
📚 Topics Covered
- What is Intelligence? What makes humans smart?
- What is Artificial Intelligence? (Simple CBSE-aligned definition)
- AI vs ordinary computer programs — the key difference
- AI in daily life: Alexa, Siri, YouTube, Netflix, Google Maps, face unlock
- History of AI: From chess computers to ChatGPT (kid-friendly timeline)
- The 3 ways AI learns: Supervised, Unsupervised, Reinforcement (simplified)
- AI vs Robots — are they the same?
- Famous AI success stories (AlphaGo, Watson, self-driving cars)
- Things AI is good at (and not good at)
- Where does AI go wrong? (Introduction to bias)
🚀 Projects
- AI Spotter Journal — find 30 examples of AI in your home & neighborhood
- Draw an 'AI Timeline' poster
- Interview a parent/grandparent: 'What was life before AI?'
💪 Practice
Identify AI vs non-AI apps on family phone
📚 Topics Covered
- How do humans see? (Eyes + brain)
- How do computers 'see'? (Cameras + AI)
- Pixels, colors, and images for computers
- Introduction to Computer Vision (CV domain of AI)
- Face detection vs face recognition
- Object detection (cars, traffic signs, animals)
- QR codes — a simple CV example
- Medical imaging — how AI detects diseases
- Ethics: Is face recognition always good?
- Fun hands-on: Training a simple image classifier with Teachable Machine
🚀 Projects
- Train a Teachable Machine model to recognize 'happy face vs sad face'
- Train a model to classify 3 objects you own
- Poster: '10 places where Computer Vision is used'
💪 Practice
Spot 5 Computer Vision apps daily
📚 Topics Covered
- How computers understand language (Natural Language Processing intro)
- Speech-to-Text: How Alexa & Google understand you
- Text-to-Speech: How computers talk back
- Chatbots — kid-friendly intro
- Simple rule-based chatbot in Scratch
- Language translation with AI
- Voice assistants: Alexa, Google Home, Siri
- How AI learns Hindi, Tamil, English, Bengali and other languages
- Spam detection in email — a NLP example
- Ethics: When should you trust a chatbot?
🚀 Projects
- Build a rule-based chatbot in Scratch (answers 10 common questions)
- Record voice commands and explore Google Assistant
- Design a friendly AI assistant for elderly people
💪 Practice
Talk to voice assistants and note what works, what doesn't
📚 Topics Covered
- What is the AI Project Cycle? (Official CBSE framework)
- The 5 stages: Problem Scoping → Data Acquisition → Data Exploration → Modelling → Evaluation
- Stage 1: Problem Scoping using 4Ws (Who, What, Where, Why)
- Practice: Apply 4Ws to a school problem
- Stage 2: Data Acquisition — what is data?
- Types of data: Images, text, numbers, sound
- Stage 3: Data Exploration — looking for patterns
- Graphs and charts for young kids
- Stage 4 preview: What is a 'model'?
- Stage 5 preview: How do we know AI is right?
🚀 Projects
- Apply the 4Ws to 'Why do kids waste food in school canteen?'
- Collect data on weather for 7 days and draw a chart
- Create an AI Project Cycle poster for classroom
💪 Practice
Use 4Ws on one problem every day
📚 Topics Covered
- Choosing a community problem
- Applying the full AI Project Cycle
- Combining Scratch + Teachable Machine
- Documentation & presentation
- Demonstrating to parents and peers
- Getting feedback and improving
- Celebrating first success
- Preparing for Phase 2
🚀 Projects
- CAPSTONE 2: AI-powered Scratch project solving a home problem (e.g. lost item finder, pet mood detector, uniform checker)
- 3-slide presentation
- 2-minute demo video
🎯 Assessment
CBSE CT & AI Foundation Certificate (Classes 3-5 level)
📚 Topics Covered
- Problem Scoping — 4Ws in detail (Who, What, Where, Why)
- Stakeholder identification
- Framing the problem statement
- SDG (Sustainable Development Goals) connection — mandated by CBSE
- Selecting SDG goals for your AI project
- Data types: Structured (tables), Unstructured (images, text, audio)
- Sources of data: Surveys, sensors, public datasets (Kaggle for kids), APIs
- Data privacy basics — why it matters
- How to design a survey (Google Forms)
- Collecting data ethically
🚀 Projects
- Create a full CBSE-format AI Project Cycle document
- Design and conduct a survey in your school (30 responses)
- Map your project to 2 SDG goals
💪 Practice
Practice 4Ws on 3 new problems weekly
📚 Topics Covered
- Data exploration — why we look at data
- Types of charts: Bar, Line, Pie, Scatter (when to use which)
- Google Sheets / MS Excel for data exploration
- Making charts in Google Sheets
- Finding outliers and missing values
- Mean, median, mode for kids
- Data stories — telling the truth with data
- Avoiding misleading graphs
- Introduction to data visualization best practices
- Creating infographics in Canva
🚀 Projects
- Collect and visualize your class's screen time data
- Analyze a public dataset on air pollution in Indian cities
- Create a data-driven infographic on a CBSE social topic
💪 Practice
Make one chart from real data every day
📚 Topics Covered
- What is Data Science?
- Prediction vs Classification vs Clustering
- Linear thinking in predictions (temperature, prices)
- Classification with Teachable Machine (extended)
- Clustering explained with sorting toys game
- K-Means clustering — simplified
- Decision Trees — kids' explanation
- Building your first decision tree by hand
- Orange Data Mining — visual ML for kids
- Installing & exploring Orange Data Mining
🚀 Projects
- Decision tree: 'What should I wear today?'
- Clustering project: Group your toys using K-Means thinking
- Orange ML: Predict if a student will pass based on study hours
💪 Practice
Solve one ML thinking puzzle daily
📚 Topics Covered
- Pixels, RGB, grayscale explained
- Image classification vs object detection vs image generation
- Training a custom Teachable Machine model (10+ classes)
- Exporting Teachable Machine models to Scratch
- Using TM models inside Scratch for interactive projects
- Face filters — how Snapchat/Instagram works (simplified)
- OCR (Optical Character Recognition) — reading handwriting
- Medical AI — skin disease, X-ray detection (kid-safe intro)
- Real-world case studies (Indian startups using CV)
- Ethics: Deepfakes & misuse of CV
🚀 Projects
- Build a Teachable Machine + Scratch 'Hand Gesture Controlled Game'
- Create an attendance system using facial recognition (Teachable Machine)
- Design a 'litter detector' for clean India initiative (SDG)
💪 Practice
Train one TM model daily
📚 Topics Covered
- Words as data — how computers read text
- Tokenization — splitting sentences into words
- Bag of Words model (simplified)
- Sentiment analysis — is this message happy or sad?
- Chatbot building blocks
- Rule-based vs AI-based chatbots
- Dialogflow / simple chatbot builders for kids
- Voice input & output in Scratch 3 (speech extensions)
- Translation AI — how Google Translate works
- NLP use cases in India (Bhashini, regional languages)
🚀 Projects
- Build a Scratch-based mood-detecting journal bot
- Create a voice-controlled calculator
- Build a Hindi-English translation assistant prototype
💪 Practice
Analyze sentiment of 10 messages daily
📚 Topics Covered
- Why AI ethics matters — CBSE emphasis
- What is AI bias? (Famous case studies)
- Gender, racial, cultural bias in AI
- Case study: Biased resume screening AI
- Privacy & AI — your data is valuable
- Consent in the AI age
- Deepfakes & misinformation
- Environmental cost of AI (energy, water)
- AI & Jobs — what the future holds
- Responsible AI principles (fairness, accountability, transparency)
🚀 Projects
- Ethics poster: 'Our Family's AI Rules'
- Case study presentation: Find an example of AI bias
- Design an 'AI Ethics Checklist' for classroom use
💪 Practice
Daily AI ethics journal
📚 Topics Covered
- What is a model?
- Supervised learning (with labeled examples)
- Unsupervised learning (finding patterns alone)
- Reinforcement learning (learning from reward)
- Training, validation and testing data
- Overfitting & underfitting — kids' analogy
- Accuracy, error, confusion matrix basics
- When models fail
- Improving a model
- Retraining & iterating
🚀 Projects
- Train, test and evaluate 3 different TM models
- Build an MIT App Inventor app that uses a trained AI model
- Improve an existing model by adding more data
💪 Practice
Evaluate one model daily
📚 Topics Covered
- Evaluation metrics (simplified)
- Precision, Recall — kid-friendly explanations
- F1 Score in simple terms
- When AI shouldn't be deployed
- Real-world deployment examples
- User testing with friends and family
- Feedback & iteration cycle
- Packaging & sharing AI projects
- Hosting AI apps (Teachable Machine, MIT App Inventor, Glitch)
- Presenting AI projects to non-technical people
🚀 Projects
- Deploy one AI app for family use (MIT App Inventor)
- Write a CBSE-format AI Project Report (5 pages)
- Conduct 3 user-testing sessions
💪 Practice
Get feedback from 3 people per project
📚 Topics Covered
- Why Python? The language of AI & CBSE Class 9+
- Installing Python & Thonny (kid-friendly IDE)
- Google Colab — Python in the browser
- Variables, data types, print statement
- Input & simple calculations
- If-else in Python
- Loops (for, while)
- Lists — storing multiple items
- Functions — reusable code
- Random module — fun first projects
🚀 Projects
- Python turtle — draw Indian flag, mandala, geometric art
- Python rule-based chatbot
- Dice roller, number guessing, quiz game in Python
💪 Practice
Write 10 Python lines daily
📚 Topics Covered
- Full AI Project Cycle application
- Scratch + Teachable Machine + Python integration
- SDG alignment
- Documentation
- Showcase preparation
- Peer review
- Parent-teacher showcase
- Competition readiness
🚀 Projects
- CAPSTONE 3: Full AI Project solving a community problem (choose any SDG)
- Examples: Plant disease detector, School waste tracker, Elderly help chatbot, Road safety app
- Complete CBSE-format report + video + live demo
🎯 Assessment
CBSE CT & AI Builder Certificate (Classes 6-8 level)
📚 Topics Covered
- What is Generative AI? (ChatGPT, DALL-E, Gemini simplified)
- How GenAI is different from earlier AI
- Using GenAI safely — age-appropriate rules
- Prompt Engineering basics for kids
- Creating AI art (safe, kid-friendly tools)
- AI writing helpers for schoolwork (ethical use)
- AI as a homework helper vs homework doer (boundary setting)
- Citing AI in school assignments
- Creativity + AI = Superpower
- AI music generation introduction
🚀 Projects
- Generate a storybook cover with AI and Canva
- Design an AI-generated bookmark
- Write a 300-word story with AI assistance (document your prompts)
💪 Practice
Daily prompt engineering journal
📚 Topics Covered
- What is a robot? Robot vs AI
- mBot, LEGO Mindstorms, Spike — kid-friendly robots
- Sensors: ultrasonic, light, touch, camera
- Actuators: motors, servos, LEDs
- Virtual robotics — VEXcode VR
- Line-following robot (simulated)
- Obstacle-avoidance robot (simulated)
- Adding AI to robots — computer vision for robots
- Humanoid robots (Sophia, Optimus) overview
- Indian robotics — ISRO, DRDO, startups
🚀 Projects
- Program a virtual robot in VEXcode VR
- Design a line-following robot algorithm
- Storyboard: 'A day with your personal AI robot'
💪 Practice
Daily robotics simulation
📚 Topics Covered
- Overview of 17 UN SDGs (CBSE mandatory)
- How AI is helping each SDG (case studies)
- AI for Clean Water (Goal 6)
- AI for Quality Education (Goal 4)
- AI for Zero Hunger (Goal 2)
- AI for Climate Action (Goal 13)
- AI for Good Health (Goal 3)
- Indian AI-for-Good examples (Swasth, eSanjeevani)
- Designing an SDG-aligned AI project
- Finding SDG datasets (UN, Government of India)
🚀 Projects
- Choose one SDG, design a complete AI solution
- Build a prototype of the solution
- Write an impact report (2 pages)
💪 Practice
Daily SDG research
📚 Topics Covered
- App design principles
- MIT App Inventor advanced
- Integrating Personal Image Classifier
- Using Look Extension for AI
- Adding voice recognition to apps
- Text-to-speech in apps
- Connecting to Firebase for data
- Publishing APKs and sharing
- UI/UX for kids
- App store basics (concept only)
🚀 Projects
- AI-powered plant identifier app
- Voice-command note app
- Flash card memorizer with NLP
💪 Practice
Build one mini app weekly
📚 Topics Covered
- What is a hackathon? Format and rules
- Team formation strategies
- Idea generation (design sprints)
- Rapid prototyping
- Pitching an AI idea (Pixar method)
- Creating a great demo video
- Presenting to judges (body language, voice)
- Handling Q&A
- Time management during competitions
- Famous CBSE AI competitions (CBSE AI Hackathon, Intel AI Youth)
🚀 Projects
- Full 48-hour mini-hackathon (home edition)
- Original AI project + pitch + demo
- 3-minute pitch video for portfolio
💪 Practice
Daily idea generation
📚 Topics Covered
- AI Olympiad syllabus overview
- CBSE AI Hackathon past problems
- Logical reasoning practice
- Python/Scratch speed challenges
- AI vocabulary & concepts test prep
- Time-bound problem solving
- Mock Olympiad rounds
- AI puzzle solving (riddles, pattern tests)
- Math for AI — proportion, averages, probability basics
- Debate: 'Is AI dangerous?' (public speaking)
🚀 Projects
- Complete 5 mock Olympiad rounds
- Submit to one real CBSE/Intel AI competition
- AI essay for school magazine
💪 Practice
Daily timed practice
📚 Topics Covered
- Selecting a real community problem
- Deep stakeholder interviews
- Complete AI Project Cycle execution
- Multi-week project management
- Using Git/GitHub basics for kids
- Version control & backup
- Collaboration with classmates
- Expert mentor review sessions
- Iterative development
- User testing with 10+ real users
🚀 Projects
- FINAL CAPSTONE: Full AI solution for a real community issue
- Complete CBSE-style report (cover, abstract, methodology, results, ethics, SDG alignment)
- Public GitHub portfolio with documentation
📚 Topics Covered
- Portfolio website building
- Personal branding for young creators
- Creating a project showcase page
- Video editing for project demos
- Writing project stories (journalistic style)
- Social media presentation (parent-managed)
- Preparing for school science fair
- Public speaking — mini TED-talk format
- Handling feedback gracefully
- Connecting with peer creators
📚 Topics Covered
- CBSE Class 9 AI (417) curriculum overview
- CBSE Class 11-12 AI (843) curriculum preview
- Sample past papers (Class 9 AI)
- Practical file requirements
- Employability skills (part of CBSE AI curriculum)
- Self-management, ICT, Entrepreneurial, Green skills
- Mock Class 9 AI assessment
- Gap identification
- Personalized next-step recommendation
- Transition pathway plan
🎯 Assessment
CBSE AI Class 9 (Code 417) Readiness Certification
📚 Topics Covered
- Final skill assessment
- Certification ceremony (virtual + physical certificate)
- Alumni community induction
- Access to future courses and updates
- Mentor allocation for next year
- Community contribution opportunities
- Celebrating every student's journey
- Setting 3-year learning goals
🎯 Assessment
CERTIFIED YOUNG COMPUTATIONAL THINKER & AI INNOVATOR — Ready for CBSE Class 9 AI (417) and beyond!
Projects You'll Build
Build a professional portfolio with 50+ projects real-world projects.
Phase 1: 10+ unplugged CT activities, 8+ Scratch projects, 3+ AI awareness projects
Phase 2: 6+ full AI Project Cycle projects, 5+ Teachable Machine models, 2+ Python projects
Phase 3: 8+ advanced AI projects, 3+ robotics simulations, 2+ MIT App Inventor apps
Phase 4: 1 grand capstone + portfolio of 50+ documented projects
Total: 50+ projects with full CBSE-style documentation
Weekly Learning Structure
Live Classes
2 x 60-min expert-led sessions/week
Self Practice
2-3 hours/week
Project Work
1-2 hours/week
Parent Engagement
30 mins/week progress review
Total Per Week
5-7 hours
Certification & Recognition
Phase Certificates
Separate certificate after each phase (4 total)
Final Certificate
Certified Young Computational Thinker & AI Innovator
Linkedin Badge
Shareable digital badge for LinkedIn/school profile
School Recognition
Recognized by 400+ CBSE & ICSE schools (and growing)
Portfolio Projects
50+ documented CBSE-style AI projects
Cbse Class 9 Readiness
CBSE AI Class 9 (Code 417) Readiness Certificate
Technologies & Skills You'll Master
Comprehensive coverage of the entire modern web development stack.
Computational Thinking
4 pillars mastery (Decomposition, Pattern Recognition, Abstraction, Algorithms)
Block Coding
Scratch advanced level (events, loops, conditions, variables, broadcasts, cloning)
AI Fundamentals
CV, NLP, Data Science, ML basics, ethics, bias
AI Project Cycle
Full CBSE-aligned 5-stage process
Data literacy
Collection, cleaning, visualization, interpretation
Python basics
Variables, loops, conditions, lists, functions, turtle, random
Prompt engineering (GenAI)
Safe, effective, age-appropriate
Project management
Planning, execution, documentation, presentation
Soft skills
Public speaking, teamwork, critical thinking, empathy
Research
Surveys, datasets, stakeholder interviews, impact reporting
Ethics
Bias, privacy, responsibility, SDG alignment
Technology literacy
Apps, AI, IoT basics, robotics simulation
Support & Resources
Live Sessions
Weekly live classes with CBSE-trained AI instructors
One On One
Fortnightly 1-on-1 mentor check-ins
Parent Reports
Monthly detailed progress reports for parents
Community
Kids-only private community (moderated)
Feedback
Weekly project reviews with feedback
Resources
Full access to curated AI resource library
Lifetime Access
All content + future CBSE curriculum updates included
Doubt Support
WhatsApp group + ticket system with <12 hr response time
Parent Workshops
Quarterly AI-for-Parents sessions
Career Outcomes & Opportunities
Transform your career with industry-ready skills and job placement support.
Prerequisites
Age
8-13 years (Classes 3 to 8)
Coding Experience
None — absolute beginners welcome
Equipment
Laptop/desktop with stable internet (4 Mbps+), webcam, headphones
Software
All free — Scratch, Python, Teachable Machine, Orange (we guide installation)
Time Commitment
5-7 hours per week (2 live classes + self-practice)
English
Basic reading ability (Class 3+ level)
Parent Support
Minimum 30 mins/week to review progress
Motivation
Curiosity, willingness to make mistakes, excitement to build
Who Is This Course For?
Primary_students
CBSE students in Classes 3-8 looking to master Computational Thinking and AI
Other_boards
ICSE, IB, State Board and International students — curriculum is fully transferable
Homeschoolers
Perfect structured AI curriculum for homeschool families
Gifted_children
Advanced learners ready to go beyond school curriculum
Competition_aspirants
Kids preparing for AI Olympiads, CBSE Hackathons, Intel AI Youth challenges
Cbse_school_students
Students whose schools already teach CBSE AI curriculum and want deeper mastery
Parents_of_future_engineers
Parents preparing kids for future AI-driven careers
Anyone
Any 8-13 year-old curious about how AI, Alexa, ChatGPT and self-driving cars work
Career Paths After Completion
Direct pathway to CBSE AI Class 9-10 (Code 417)
Direct pathway to CBSE AI Class 11-12 (Code 843)
Future AI Engineer / ML Engineer
Future Data Scientist
Future Robotics Engineer
Future Prompt Engineer / AI Product Designer
Future AI Ethics Researcher
Future Computer Science Researcher
Future Tech Entrepreneur
Any career benefiting from computational & analytical thinking (medicine, law, business, arts)
Salary Expectations
Immediate Academic
Significant improvement in Maths, Science, English board scores
Scholarships
Eligible for NTSE, KVPY (junior), AI scholarships (Intel, Samsung, Microsoft)
Competitions
Prize money up to ₹1 Lakh from CBSE/Intel AI competitions
Future Ai Engineer
₹12-40 LPA starting salary in India (2030 projections)
Future Ml Engineer
₹15-60 LPA (FAANG-level) with continued learning
International Opportunities
Stanford, MIT, Carnegie Mellon pipeline — early CT/AI exposure is a key admissions signal
Entrepreneurship
Unlimited — India's AI startup ecosystem is exploding
Course Guarantees
Money Back
30-day 100% money-back guarantee — no questions asked
Cbse Alignment
100% CBSE framework alignment guarantee
Improvement
Guaranteed measurable improvement in logical reasoning
Support
Response within 12 hours for any doubt, 7 days a week
Updates
Free lifetime access to all future curriculum updates
Certificate
Industry-recognized CBSE-aligned certification
Portfolio
50+ project portfolio ready for school admissions and competitions
Class 9 Ai Readiness
Guaranteed readiness for CBSE AI Class 9 (Code 417)
Frequently Asked Questions
Common Questions About CBSE Computational Thinking & AI Course for Kids (Classes 3-8) | Complete Beginner to AI Project Builder
Get answers to the most common questions about this comprehensive program
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Proven Results
Our Impact in Numbers
1,850+
Students Enrolled
400+
Cbse Schools Using Our Program
34%
Average Improvement In Maths Science
185+
Students Won Ai Competitions
96%
Parent Satisfaction
92% continue to CBSE AI Class 9-10
Progression To Cbse Ai 417
52 projects per student
Portfolio Average Projects
87%
Course Completion Rate
Why Choose Us
Why CBSE-Aligned Computational Thinking & AI Mastery Now?
The Central Board of Secondary Education (CBSE) has officially made Computational Thinking and Artificial Intelligence part of the foundational curriculum for all students from Class 3 to Class 12. This is not optional any more — it is the new 'literacy' of the 21st century. Schools across India are rapidly integrating AI, but most lack the depth, time, and expert faculty needed to truly master this subject. This course fills that gap completely.
Unlike generic coding courses, this program is built around CBSE's exact pedagogical framework: the 4 pillars of Computational Thinking and the 5-stage AI Project Cycle. Every project your child builds follows CBSE-board-exam format. Every topic maps directly to NCERT AI handbooks and the CBSE Skill Subject AI curriculum (Code 417 for Class 9-10, Code 843 for Class 11-12).
Starting early (Class 3-8) creates compounding benefits: your child develops logical reasoning that boosts Maths and Science scores, cultivates problem-solving confidence, builds a tangible portfolio of 50+ AI projects useful for board practical files, school competitions, and eventually IIT/NIT/top college admissions. More importantly, they learn to use AI ethically and creatively — not just consume it.
100% CBSE Computational Thinking & AI framework aligned
Separate tracks for Classes 3-5 and Classes 6-8
CBSE-format AI Project Cycle documentation for every capstone
Direct preparation for CBSE AI Class 9-10 (Code 417) & 11-12 (Code 843)
50+ hands-on projects for school portfolio and competitions
Live expert classes, lifetime access, parent progress reports
Compatible with Atal Tinkering Lab (ATL) initiatives
Prize-winning project guidance for AI competitions & hackathons
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