The AI education India's new curriculum demands.

From the 2026-27 session, CBSE introduces AI and Computational Thinking from Class 3, aligned with NEP 2020. We deliver it properly: structured, project-based, and built for how children actually learn.

NEP 2020 and CBSE 2026-27 aligned

AI mandatory from Class 3 (2026-27)

Board-examined for Classes 9-10 from 2028

Nearly half of Indian schools lack the infrastructure to deliver it

Source: Ministry of Education, CBSE 2026-27 framework.

One journey. Three phases. From curious to creator.

  1. Explorers

    Grades 5 to 7

    Trains first AI models with zero code

    Capstone: No-code AI project and startup pitch

  2. Builders

    Grades 6 to 8

    Writes real Python and deploys a working AI app

    Capstone: Python ML, NLP or computer vision project

  3. Innovators

    Grades 8 to 10

    Builds with deep learning and pitches a full product

    Capstone: Full-stack AI product pitched to a panel

Explorers

What your child can do by the end

  • Explain how AI and machine learning work in plain language
  • Train an image or sound model with no code
  • Build and pitch a no-code AI project

Tools they use

Scratch, Teachable Machine, ML for Kids, ChatGPT (supervised)

Certificate earned

AI Explorer

Time commitment

~19 hours over the phase

Duration

3 months

Covers: the CBSE Class 3 to 8 Computational Thinking and AI band

Builders

What your child can do by the end

  • Write real Python for data and AI
  • Train and evaluate machine learning models
  • Build a chatbot and an image classifier, then deploy an app online

Tools they use

Python, Pandas, Scikit-Learn, OpenCV, Streamlit

Certificate earned

AI Builder

Time commitment

~19 hours

Duration

6 months (Phase 1 + Phase 2)

Covers: beyond the Class 9-10 compulsory AI module

Innovators

What your child can do by the end

  • Build neural networks from primitives
  • Work with transformers, LLM APIs, RAG and agents
  • Ship a full-stack AI product and pitch it to a panel

Tools they use

TensorFlow, PyTorch, Hugging Face, LangChain, LLM APIs

Certificate earned

AI Innovator

Time commitment

~19 hours plus capstone

Duration

9 months (Phase 1 + Phase 2 + Phase 3)

Covers: Class 11-12 elective specialisation and beyond

You have unlocked 3 of 120 lessons.

Explorers

Inside the curriculum

Sample lesson · Unlocked

Deepfakes and Misinformation: Can You Trust AI?

Format

  1. 11-min concept video
  2. A spot-the-fake interactive game
  3. 5-min recap

Outcome: The child learns to detect manipulated media.

  1. 1

    What is AI and Computational Thinking

    Thinking skills for an AI-powered world

  2. 2

    Data and How Machines Learn

    From raw data to machine predictions

  3. 3

    Machine Learning and No-Code AI Tools

    Train models without writing code

  4. 4

    AI Ethics, the Future and Capstone

    Responsible AI and your startup pitch

36 more lessons in this phase

Unlock the full syllabus

Builders

Inside the curriculum

Sample lesson · Unlocked

Talking to Machines: Build a Chatbot

Format

  1. 11-min video
  2. Browser simulation building a chatbot on a real LLM API
  3. Recap quiz

Outcome: The child builds and tests a working chatbot.

  1. 1

    Python Foundations for AI

    Real code for data and automation

  2. 2

    Data Science and Visualisation

    Explore, chart and tell stories with data

  3. 3

    Machine Learning with Scikit-Learn

    Build and evaluate ML models in Python

  4. 4

    NLP, Computer Vision and Capstone

    Language, vision and a deployed project

36 more lessons in this phase

Unlock the full syllabus

Innovators

Inside the curriculum

Sample lesson · Unlocked

RAG at Scale

Format

  1. 11-min video
  2. A build sprint connecting an LLM to a knowledge base
  3. Peer critique

Outcome: The child ships a retrieval-augmented workflow end to end.

  1. 1

    Deep Learning Foundations

    Neural networks from the ground up

  2. 2

    Generative AI and Transformers

    How modern AI creates text and images

  3. 3

    Advanced LLM Engineering: RAG and Agents

    Connect models to knowledge and tools

  4. 4

    Computer Vision, Multimodal and Innovator Capstone

    Vision, multimodal AI and your product pitch

36 more lessons in this phase

Unlock the full syllabus

Real projects, not theory.

Rock Paper Scissors AI

Explorers

Train your own gesture recognition model using your webcam

Sentiment Analysis Tool

Builders

Build an AI that reads emotions in text, used in real businesses

Neuropolis Game

Explorers

Play through a cyberpunk city while learning AI concepts

Plant Disease Detector

Builders

Computer vision model that detects crop diseases from photos

Your Own Chatbot

Builders

Build and deploy a real AI chatbot using Python and NLP

Stock Trend Predictor

Innovators

Machine learning model that analyses real market data

Parental Guidelines

What parents should know before enrolling

Getting Started

AKMind programs are designed for AI enthusiasts at every stage. We recommend a parent or guardian to be present during the first few sessions to help with any setup or questions.

Device Requirements

AI Explorers works on any device — web, iOS, Android or tablet. AI Builders and AI Innovators require a laptop or desktop. Please ensure your device is set up before the first class.

Parent Involvement

We encourage parents to stay involved in the learning journey. You will receive a progress update after every session and can reach out to the assigned mentor at any time via hello@akmind.com.

AKMind programs are built for AI enthusiasts. We recommend a parent or guardian to be present during the first few sessions to help with setup.

Ready to start?

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