Published 3/2026 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 1m | Size: 3.18 GB
The Complete Story of AI: Neural Networks, Deep Learning & LLMs
What you'll learn
Clear theoretical foundations of artificial intelligence and its main concepts.
A structured understanding of how different AI techniques work at a conceptual level.
Key terminology and core principles used in modern AI systems.
Theoretical insight into how AI models are designed, evaluated, and improved.
An overview of common AI applications and how they operate behind the scenes.
A solid conceptual base in AI that supports future independent study and professional development.
Requirements
There is no request.
Description
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 learn
Where AI really started - From Leibniz and Boolean logic to the first formal models of computation and the neuron
The birth of "artificial intelligence" - Dartmouth, early neural networks, ELIZA, and the first AI winters
Expert systems and the return of neural nets - Rule-based AI, backpropagation, and Deep Blue
The deep learning revolution - ImageNet, AlexNet, GANs, AlphaGo, and the transformer architecture
Generative AI and LLMs - How GPT, diffusion models, and tools like ChatGPT and DALL-E emerged from this history
Why 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.
-friendly length: Bite-sized lessons (under 6 minutes each) so you can learn at your own pace.
Who this is for
Anyone curious about the history of artificial intelligence and generative AI
Professionals who want context on ChatGPT, large language models, and AI tools
Students and lifelong learners interested in machine learning, neural networks, and deep learning from a historical angle
By the end, you'll have a clear mental map of how we went from "thought as calculation" to the AI systems we use every day-and you'll be able to explain that story to others.
Enroll now and learn the full history of AI and generative AI in one structured, engaging course.
Who this course is for
This course is designed for students, professionals, and enthusiasts who want a clear theoretical introduction to artificial intelligence without focusing on programming or hands-on implementation.
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Code:
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