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The Big Picture: Origins of AI

WELCOME!

The Many Roots of Artificial Intelligence

How AI Grew Up: A Brief History

The Pillars of Artificial Intelligence

The Logic of Thought

Math: The Secret Language of AI

Philosophy: Can Machines Really Think?

Psychology: Modeling the Human Mind

Building the System: Body and Language

Computer Engineering: Building the Brain's Hardware

Neuroscience: Copying the Biological Brain

Linguistics: Teaching Computers to Talk

Control Theory: How Machines Self-Correct

Interactive Review

🎮 Crossword: The Vocabulary of AI Fields

Knowledge Check

Quiz: Roots of AI

Quiz: AI History

Quiz: AI Pillars

Quiz: Mathematics in AI

Quiz: Philosophy in AI

Quiz: Psychology in AI

Quiz: Computer Engineering

Quiz: Neuroscience

Quiz: Linguistics

Quiz: Control Theory

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$ (USD)

Foundations of AI: The Disciplines That Shape Intelligence is a beginner-friendly course that reveals how multiple fields—math, philosophy, psychology, neuroscience, linguistics, engineering, and control theory—combine to power modern artificial intelligence. Instead of treating AI as “just computer science,” you’ll see the big picture: where AI came from, why it evolved the way it did, and how today’s systems blend logic, data, and design to act intelligently. You’ll trace AI’s journey from early symbolic systems to today’s data-driven learning and explore the core pillars behind every intelligent machine. Along the way, you’ll connect human cognition and language to algorithms, hardware, and feedback loops that help machines learn and self-correct. The course blends clear explanations with interactive review and knowledge checks to reinforce key ideas. By the end, you’ll confidently explain AI’s origins, compare classic and modern approaches, and understand the roles of essential disciplines in building intelligent systems. Whether you’re preparing for further study, evaluating AI tools at work, or simply curious about how AI really works, this course gives you the clarity and vocabulary to join the conversation—and the foundation to keep learning.

3. AI History + The Fields That Influenced the Development of AI

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            <p>Imagine a machine that can think, learn, and even hold a conversation. Is this machine just a collection of wires and code, or is it something much deeper? Artificial Intelligence is often seen as just a part of computer science, but it is actually a giant puzzle made of many different pieces. To understand how AI works, we have to look at the "roots" that grew it. This means exploring how humans learn through psychology, how our brains are wired through neuroscience, and even asking the big questions in philosophy about what it truly means to "think." By looking at the big picture, we can see how researchers first dreamed of creating artificial minds and how those dreams turned into the technology we use every day.</p>

<p>Building an intelligent system requires a balance between the "mind" and the "body." We will dive into the secret language of math that allows AI to make guesses and the powerful computer engineering that acts as the machine's hardware brain. You will discover how linguistics helps computers understand our slang and how control theory allows robots to fix their own mistakes in real-time. As we trace the history of AI from simple logic programs to the complex systems of today, you will be challenged to think about the ethics of these machines. Are we simply building better tools, or are we reshaping what it means to be intelligent? The answers lie in the many disciplines that have come together to shape the future of intelligence.</p>
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