Grade-Wise AI Learning Path

Not just using AI tools — kids learn how AI actually works.

LittleAIMaster is an independent learning app and is not affiliated with or endorsed by any government education board.

Concept-First Learning

What We Teach

Concept-first AI education that builds real understanding

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What is AI

Understanding artificial intelligence and its role in the world

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Data & Patterns

How AI learns from data and recognizes patterns

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Machine Learning

Training models and understanding how they improve

Generative AI

How AI creates text, images, and more

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Ethics & Safety

Responsible AI use and digital citizenship

Our Approach

Our Approach is Different

We focus on understanding, not just clicking

Just teaching kids to use AI tools
Teaching how AI actually works under the hood
Surface-level tutorials
Deep conceptual understanding with hands-on projects
Unguided exploration
Structured learning path with clear progression
Grade-by-Grade

Detailed Learning Path Breakdown

Click on each grade to explore topics, outcomes, and requirements.

Ages 10-11✋ Unplugged

Students begin their AI journey by discovering what artificial intelligence is and how it impacts their daily lives. Through hands-on activities and engaging discussions, they develop a foundational understanding of AI concepts.

Key Topics:

What is AI?AI in Daily LifeHow Computers ThinkDigital CitizenshipAI Ethics BasicsPattern Recognition

🎯 Learning Outcome

Students can explain AI in their own words, recognize AI applications around them, and understand the importance of using technology responsibly.

Ages 11-12✋ Unplugged

Building on Grade 6, students explore how machines learn from data. They investigate patterns in everyday life and discover how AI uses these patterns to make decisions.

Key Topics:

Machine Learning BasicsTraining DataClassificationTeachable MachineAI BiasResponsible AI Use

🎯 Learning Outcome

Students grasp machine learning concepts, can train simple AI models without code, and understand the importance of fair and unbiased AI.

Ages 12-13💻 Computer

The bridge from concepts to creation! Students learn Python programming fundamentals and write their first AI programs. This is where they start building real projects.

Key Topics:

Python BasicsVariables & Data TypesLoops & ConditionsFunctionsSimple ChatbotsRule-Based AI

🎯 Learning Outcome

Students can write basic Python programs and build simple AI projects like quiz bots, text games, and rule-based chatbots.

Ages 13-14💻 Computer

Students dive into real data science and machine learning workflows using Python libraries. They work with real datasets and train actual ML models.

Key Topics:

Statistics for AIPandas & NumPySupervised LearningClassification & RegressionDecision TreesModel Evaluation

🎯 Learning Outcome

Students can train, evaluate, and improve basic ML models using real-world datasets, understanding the complete ML workflow.

Ages 14-15💻 Computer

Students transition to advanced AI, learning how neural networks work and building deep learning models. They explore computer vision and natural language processing.

Key Topics:

Neural Network BasicsTensorFlow/KerasCNNs for VisionNLP FundamentalsTransformers IntroAI Ethics Deep Dive

🎯 Learning Outcome

Students have hands-on experience with deep learning, can build image classifiers and text models, and understand AI's societal implications.

Ages 15-16💻 Computer

Students explore cutting-edge AI domains and industry applications. They specialize in areas like LLMs, generative AI, or reinforcement learning.

Key Topics:

Large Language ModelsPrompt EngineeringGenerative AIGANs & DiffusionReinforcement LearningMLOps & Deployment

🎯 Learning Outcome

Students gain specialized knowledge in advanced AI systems and complete a capstone project in their chosen specialization.

Ages 16-17💻 Computer

The culmination of the program where students apply all their learning to real-world scenarios, research, and prepare for their future in AI.

Key Topics:

AI Research MethodsReading Research PapersAdvanced ProjectsAI EntrepreneurshipPortfolio BuildingCareer Preparation

🎯 Learning Outcome

Students complete an ambitious capstone project and graduate with a portfolio of AI work, ready for university or tech careers.

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FAQ

Common Questions

What age/grades is LittleAIMaster for?

LittleAIMaster is designed for students in Grades 6-12 (ages 10-18). Content progresses from AI fundamentals in Grade 6 to advanced topics like machine learning and generative AI in higher grades.

Do kids need prior coding experience?

No prior coding experience is needed. Grades 6-7 focus on AI concepts without coding. We introduce Python in Grade 8 with beginner-friendly lessons, building skills progressively.

Do you teach how to use AI tools like ChatGPT?

We go beyond tool tutorials. While we cover how to use AI responsibly, our focus is teaching how AI actually works — the concepts, the math, the ethics. This deeper understanding helps kids use any AI tool wisely.

Can we learn offline?

Premium subscribers can download lessons for offline learning. Downloaded content works without internet — great for travel or areas with limited connectivity. Progress syncs automatically when you're back online. Initial download and account login require internet.

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