Generative AI History: From First Neurons to ChatGPT

This course contains the use of artificial intelligence.Discover how generative AI and ChatGPT came to be—from the first mathematical neurons to large language models. A complete, story-driven history of artificial intelligence.This course walks you through the full arc of AI: the ideas that turned thought into calculation, the first “learning” machines, the winters and booms, and the breakthroughs that led to GPT, DALL-E, and today’s generative AI. No heavy math or coding—just clear explanations, timelines, and the key people and papers that built the field.What you'll learnWhere AI really started — From Leibniz and Boolean logic to the first formal models of computation and the neuronThe birth of “artificial intelligence” — Dartmouth, early neural networks, ELIZA, and the first AI wintersExpert systems and the return of neural nets — Rule-based AI, backpropagation, and Deep BlueThe deep learning revolution — ImageNet, AlexNet, GANs, AlphaGo, and the transformer architectureGenerative AI and LLMs — How GPT, diffusion models, and tools like ChatGPT and DALL-E emerged from this historyWhy take this course?Story-first: One continuous narrative from the 1840s to the present, so you see how each step led to the next.Built for SEO and clarity: Covers the history of AI, generative AI, machine learning, neural networks, deep learning, ChatGPT, and LLMs in one place.No prerequisites: Designed for curious learners, professionals, and anyone who wants to understand where ChatGPT and generative AI came from.Udemy-friendly length: Bite-sized lessons (under 6 minutes each) so you can learn at your own pace.