Learn AI Through Curated Courses
Bite-sized lessons in beautiful notebook-style format. Interactive activities, real AI concepts, and hands-on projects designed specifically for young learners.
Learning Paths
Step-by-step paths to mastery. Click any course to see lessons.
1 
Introduction to AI
In this course learn what AI is, what is possible (and not possible) with AI, and how it affects our lives
4 Lessons
Introduction to AI
In this course learn what AI is, what is possible (and not possible) with AI, and how it affects our lives
Course Content
What is AI?
Learn what AI is and how it is different from other computer programs we use.
Amazing Things AI Can Do
Learn what intelligent tasks modern AI can perform to help us today.
AI vs non-AI
Learn what is AI and what isn't AI and how to identify if something is using AI
Why learning AI is important?
As AI is changing our lives faster than any other technology did, it is important to learn about it and be skilled in the evolving world.
2 
Basics of AI
Learn fundamental concepts and terminologies used in AI and how AI works
5 Lessons
Basics of AI
Learn fundamental concepts and terminologies used in AI and how AI works
Course Content
It all starts with data!
AI learns from examples, not instructions. In this lesson, students discover how data becomes the “practice problems” that help AI learn patterns, make decisions, and improve over time.
Brain of AI — The Model
AI models are the “brains” that learn patterns from data. In this lesson, students discover how blank models turn examples into understanding and decision-making.
AI Training
Training teaches an AI model to learn patterns by making predictions, checking errors, and adjusting itself over millions of tiny improvements.
AI Inferencing
Inferencing is process of using the intelligence trained model to perform a task.
AI lifecycle
Understand how to improve AI using continuous learning
3 
AI History
Even though AI has entered our lives quite recently, work on AI started long ago. Let's learn the history of AI !
5 Lessons
AI History
Even though AI has entered our lives quite recently, work on AI started long ago. Let's learn the history of AI !
Course Content
The Origins of AI (1940s–1950s)
The story of AI begins with early computers, brain-inspired ideas, and one big question: Can machines think?
Early AI & the AI Winter (1960s–1980s)
Early AI made exciting progress, but slow computers and big expectations led to the first major setback — the AI Winter.
The Big Comeback (1990s)
With faster computers and better ideas, AI made a comeback — leading to famous victories like Deep Blue defeating the world chess champion.
The Rise of Machine Learning (2000s–2010s)
With more data and faster computers, AI finally learned to recognize images, speech, and patterns using powerful neural networks.
The Generative AI & LLM Revolution (2020s–Today)
AI became creative — writing, drawing, coding, and talking fluently — powered by massive models called Large Language Models (LLMs).
4 
Machine Learning
Machine Learning is how computers learn patterns from data instead of following step-by-step rules. In this course, students explore how AI models are trained, how machine learning evolved over time, and the main ways AI learns from the world.
3 Lessons
Machine Learning
Machine Learning is how computers learn patterns from data instead of following step-by-step rules. In this course, students explore how AI models are trained, how machine learning evolved over time, and the main ways AI learns from the world.
Course Content
What Is Machine Learning?
Learn how machine learning is different from regular programming and how computers use data to learn.
The Evolution of Machine Learning
Journey through the major stages of machine learning—from early “simple brains” to today’s powerful deep learning models.
Machine Learning methods
Discover the three major ways AI learns—through labels, patterns, or trial-and-error—and when each style is used.
5 
Neural Networks
Neural networks are AI model architecture inspired by how our brains work. Learn the foundation of modern AI.
4 Lessons
Neural Networks
Neural networks are AI model architecture inspired by how our brains work. Learn the foundation of modern AI.
Course Content
Neural network in Human Brain
Discover how real neurons in the human brain work together to help us think, learn, and recognize patterns — and how these biological ideas inspired artificial neural networks in AI.
Artificial Neural Network
Discover how scientists built artificial neurons inspired by the brain, how they connect into neural networks, and why adding more layers creates deeper, more powerful AI systems.
Training Neural Networks
Neural networks learn by making mistakes and correcting them. This lesson explains loss, error, backpropagation, and why sometimes a model learns “too well.”
Types of Neural Networks
Different neural networks are built for different kinds of problems — images, sequences, and complex language. This lesson explores CNNs, RNNs, and Transformers in simple kid-friendly terms.
6 
Gen AI
Gen AI or Generative AI is where AI gets creative and able to generate new content like stories, music, songs, pictures, videos that it has not seen before.
2 Lessons
Gen AI
Gen AI or Generative AI is where AI gets creative and able to generate new content like stories, music, songs, pictures, videos that it has not seen before.
Course Content
Introduction to Generative AI
Generative AI is the first kind of AI that can create new things — not just recognize them. This lesson introduces what GenAI is, why it matters, and what it can make.
Road to GenAI and Future ahead
This lesson explains the breakthroughs that made GenAI possible — new architectures, more data, powerful GPUs — and the challenges like hallucinations, cost, and the future of AI.
7 
Ethics & Responsible AI
This course helps students understand what ethical use of AI means, how misuse happens, and how we can all help keep AI safe and fair.
4 Lessons
Ethics & Responsible AI
This course helps students understand what ethical use of AI means, how misuse happens, and how we can all help keep AI safe and fair.
Course Content
Why AI Ethics Matter
AI is incredibly powerful, which means it can help people — or cause harm if misused. This lesson explains why ethics matter and why they’re even more important in the age of modern AI.
Fairness, Bias, and Integrity
AI can become unfair when it learns from biased data, and people can be unfair when they misuse AI. This lesson explains both sides — how bias happens and why integrity matters.
Data Privacy & Safety
A lesson about why personal data matters, how AI tools can misuse it, and how students can stay safe and protect their privacy in a world where AI can amplify risks.
Digital Forensics: How to Spot AI Generated Media
Learn tips on how to spot AI generated content.
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