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!

9 months (40 weeks, expandable to 12-month mastery track) Absolute Beginner (Class 3-5) to Intermediate AI Project Builder (Class 6-8) 5-7 hours/week (2 live classes + self-practice) Certified Young Computational Thinker & AI Innovator (CBSE-aligned)
CBSE Computational Thinking & AI for Kids (Class 3-8)

Flexible course duration

Duration depends on the student's background and pace. Beginners (kids / teens): typically 6 to 9 months. Adults with prior knowledge: often shorter, with an accelerated path.

Standard pace6 to 9 months
AcceleratedAdd class frequency to finish faster

For personalised duration planning, call +91 91233 66161 and we'll map a schedule to your goals.

Ready to Master CBSE Computational Thinking & AI for Kids (Class 3-8)?

Choose your plan and start your journey into the future of technology today.

Group Classes

₹1,499/month

2 Classes per Week · Up to 10 students

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₹4,999/month

2 Private Classes per Week

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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 You Build
  • 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 & Assignments

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 You Build
  • 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 & Assignments

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 You Build
  • Pattern hunt journal, photograph 20 patterns around you
  • Design a Rangoli using mathematical patterns
  • Create a pattern-based memory game
Practice & Assignments

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 You Build
  • 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 & Assignments

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 You Build
  • Animated birthday card for a family member
  • Dancing cat in 5 different backgrounds
  • Digital storybook cover with your name
Practice & Assignments

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 You Build
  • Geometric art generator (shapes with pen + loops)
  • Simple counting game
  • Animated alphabet learning app
Practice & Assignments

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 You Build
  • 'Choose Your Adventure' interactive story
  • Keyboard-controlled character runner
  • Quiz game with If-Else logic (Science or GK quiz)
Practice & Assignments

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 You Build
  • 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 You Build
  • 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 & Assignments

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 You Build
  • 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 & Assignments

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 You Build
  • 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 & Assignments

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 You Build
  • 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 & Assignments

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 You Build
  • 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
  • Data cleaning basics, removing mistakes
  • Introduction to CSV files
Projects You Build
  • 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 & Assignments

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
  • Interpretation, what does the data say?
  • Designing a data dashboard
Projects You Build
  • 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 & Assignments

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
  • Uploading a dataset in Orange
  • Running your first ML model visually
Projects You Build
  • 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 & Assignments

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
  • CBSE sample CV project ideas
  • Planning your own CV project
Projects You Build
  • 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 & Assignments

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)
  • Spam filters, a classic NLP task
  • Limitations of NLP, why AI gets confused
Projects You Build
  • Build a Scratch-based mood-detecting journal bot
  • Create a voice-controlled calculator
  • Build a Hindi-English translation assistant prototype
Practice & Assignments

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)
  • Asimov's 3 Laws of Robotics (kid-friendly)
  • Designing ethical AI, a framework for kids
Projects You Build
  • 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 & Assignments

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
  • Google's Teachable Machine: Advanced usage
  • Introduction to MIT App Inventor for AI apps
Projects You Build
  • 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 & Assignments

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
  • Creating project documentation
  • CBSE AI project report format
Projects You Build
  • 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 & Assignments

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
  • Turtle module, drawing with Python
  • First AI-like program in Python (rule-based chatbot)
Projects You Build
  • Python turtle, draw Indian flag, mandala, geometric art
  • Python rule-based chatbot
  • Dice roller, number guessing, quiz game in Python
Practice & Assignments

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 You Build
  • 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? (chatbots and image generators, 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
  • AI video generation basics
  • Ethics of GenAI, hallucinations & misinformation
Projects You Build
  • 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 & Assignments

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
  • Future of robotics in homes & hospitals
  • Robotics competitions in India (WRO, FLL)
Projects You Build
  • Program a virtual robot in VEXcode VR
  • Design a line-following robot algorithm
  • Storyboard: 'A day with your personal AI robot'
Practice & Assignments

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)
  • Measuring impact
  • Youth AI-for-Good competitions (Google, UNICEF)
Projects You Build
  • Choose one SDG, design a complete AI solution
  • Build a prototype of the solution
  • Write an impact report (2 pages)
Practice & Assignments

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)
  • App monetization (for future reference)
  • Making your app accessible
Projects You Build
  • AI-powered plant identifier app
  • Voice-command note app
  • Flash card memorizer with NLP
Practice & Assignments

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)
  • Indian AI Olympiads (IIRC, TechXcelerate)
  • International AI for Good competitions
Projects You Build
  • Full 48-hour mini-hackathon (home edition)
  • Original AI project + pitch + demo
  • 3-minute pitch video for portfolio
Practice & Assignments

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)
  • Essay writing: AI in India 2030
  • Portfolio polishing
Projects You Build
  • Complete 5 mock Olympiad rounds
  • Submit to one real CBSE/Intel AI competition
  • AI essay for school magazine
Practice & Assignments

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
  • Formal CBSE-style report writing (10 pages)
  • Presentation mastery
Projects You Build
  • 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
  • Maintaining lifelong learning habits
  • Giving back, teach a younger friend
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
  • Parent conference
  • Learning roadmap for next 3 years
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)

Course Guarantees

Live Classes
Live, interactive classes with a real instructor, never pre-recorded videos.
Small Batches
Small batches only: group classes are capped at 10 students, with mini-batch (3 to 4 students) and personal 1-on-1 options.
Structured Curriculum
A structured, well-paced curriculum taught step by step, with hands-on practice in every session.
Doubt Support
Doubt support between classes over WhatsApp, so you are never left stuck.
Certificate
A course-completion certificate you can share.
Free Demo
A free demo class before you enrol, so you can decide with no pressure.

What Families Say

Real feedback from the parents and students who learn with us.

★★★★★ 4.9 average · 547+ Google reviews
★★★★★

"Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He started taking interest in coding, truly amazing class."

S
Shradha Saraf
Mother of Mivaan
★★★★★

"My son struggled with maths for years. Integrating it into coding projects has transformed how he thinks. He now genuinely enjoys both."

S
Shewta Singh
Mother of Ishan
★★★★★

"Modern Age Coders has wonderful teachers who teach in a clear, easy and practical way. My son looks forward to every single class."

S
Sonu Goyal
Father of Nikit
★★★★★

"Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts before, and now they finally click, and I actually look forward to learning."

S
Samridho Mondal
Student · Grade 9
Read & write reviews on Google
Frequently Asked Questions

Common Questions About CBSE Computational Thinking & AI for Kids (Class 3-8)

Get answers to the most common questions about this comprehensive program

Still have questions? We're here to help!

Contact Us
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

Feedback from our families

Real parents and students, in their own words. Press play on any story, or watch the full Wall of Love and our complete feedback playlist.

Pure Love & Joy2:30
Honest Feelings1:45
Life Changing Moments4:10
Proud & Happy3:05
Sweet Memories2:15
Heartfelt Stories3:20
Genuine Smiles2:45

Ready to start CBSE Computational Thinking & AI for Kids (Class 3-8)?

Book a free demo class to meet your mentor and see how we teach, with no commitment. Or enrol now and start this week.

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