AI is shaping tomorrow. Start learning it today.
Your step-by-step guide to mastering AI through clear explanations and practical applications. See our sample tutorials below!
Rule-Based Systems
AI that uses explicit if–then rules to make decisions — the foundation of early expert systems.
k-Nearest Neighbors (k-NN)
Classify new data by looking at its closest neighbors, by comparing it to what’s most similar.
Convolutional Neural Networks (CNNs)
Neural networks specialized for processing grid-like data using convolutional layers — powering breakthroughs in computer vision.
About Applied AI Tutorials
We teach AI through practical use-cases: a quick demo, a crisp concept recap, code walkthrough, and a runnable notebook.
Accurate. Digestible. Practical.
Latest Tutorials
Learning Paths
Our AI learning path is designed to guide you step by step — from the fundamentals of traditional AI, to practical machine learning, to cutting-edge deep learning, and finally into the world of Generative AI.
Phase One
Foundations of Artificial Intelligence
Learn the basics of problem-solving with rules, search, and logic.
Phase Two
Core Machine Learning and AI
Grasp prediction, classification, and decisions with data.
Phase Three
Deep Learning & Neural Networks
See how neural networks power vision, speech, and language.
Phase Four
Advanced and Generative AI
Explore cutting-edge AI, from LLMs to generative tools.
Each stage builds on the last, so you can grow from beginner to industry-ready.
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