Layers of AI — From Rules to Autonomous Agents AI has evolved through multiple layers, with each layer building on the capabilities of the one below it: Classical AI: Rules, logic, expert systems, and symbolic reasoning. Machine Learning: Systems learn patterns from data to make predictions and decisions. Neural Networks: Brain-inspired models using layers, activation functions, and backpropagation. Deep Learning: Large, multi-layer neural networks powering modern vision, language, and speech systems. Generative AI: Models that create new text, images, audio, video, and other content. Agentic AI: AI systems that can reason, plan, remember, use tools, and execute tasks autonomously. In simple terms: AI → learns from data → understands patterns → generates content → takes action.