AI learning path
Explore our free resources and start your journey into the world of AI
Introduction to AI
What Artificial Intelligence really is, how it evolved and where it goes next.
Python for AI
The Python essentials every AI practitioner uses every day.
Mathematics for AI
Linear algebra, calculus and statistics without the anxiety.
Machine Learning
Supervised, unsupervised and the workflow that ties them together.
Deep Learning
Neural networks explained visually, from perceptron to backpropagation.
Natural Language Processing
How machines read, understand and generate human language.
Computer Vision
From pixel arithmetic to modern object detection with CNNs.
Generative AI
How models create images, text and code — and where they fail.
Large Language Models
Understand GPT, Claude, Llama and friends — mental models that stick.
MLOps
The bridge between notebooks and real production ML systems.
Cloud AI
Overview of AWS, Azure and GCP AI/ML managed services.
AI Ethics
Bias, fairness, safety and the practical questions engineers actually face.
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