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Foundations of Artificial Intelligence

What is Artificial Intelligence?

A Brief History of AI

🎮 Crossword: AI Terminology

Types and Categories of AI

Narrow AI vs. General AI

AI Capabilities and Classification

How AI Works: Data and Machine Learning

The Role of Data in AI

Introduction to Machine Learning

Supervised vs. Unsupervised Learning

Basics of Deep Learning

AI in the Real World

AI in Healthcare and Finance

AI in Daily Life

🎮 Pixel Quest: Concepts and Applications

Ethics, Limitations, and the Future

Limitations of Current AI

Bias and Ethics in AI

Knowledge Check

Quiz: Foundations and History

Quiz: AI Categories and Types

Quiz: Data and Machine Learning

Quiz: Real-World Applications

Quiz: Ethics and Limitations

Course Feedback

Course Survey

Artificial Intelligence Essentials: Core Concepts and Real-World Applications is a beginner-friendly course that demystifies AI and shows you exactly how it powers the tools you use every day. In clear, jargon-light lessons, you’ll explore what AI is (and isn’t), how it evolved from early ideas like the Turing Test to modern breakthroughs, and why today’s systems are powerful yet still limited. You’ll learn the differences between Narrow AI and the still-theoretical General AI, and discover how data and machine learning enable predictions, recommendations, and automation. Practical examples anchor every concept: from email spam filters and recommendation engines to fraud detection, medical imaging, and smart assistants. You’ll also examine the ethical dimensions of AI—bias, fairness, transparency—and understand why human oversight remains essential. Engaging knowledge checks and mini-games reinforce key terminology and concepts so you can retain and apply what you learn. By the end, you’ll be able to explain core AI ideas with confidence, recognize real-world applications and limitations, and make informed, responsible decisions about using AI at work and in daily life. No coding experience is required—just curiosity and a desire to understand one of today’s most important technologies.

Artificial Intelligence Essentials: Core Concepts and Real-World Applications

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            <p>Artificial Intelligence has transitioned from a niche academic pursuit to the cornerstone of modern technological innovation, fundamentally altering how we interact with the digital world. This course explores the essential principles that define AI, distinguishing its autonomous decision-making capabilities from the rigid, rule-based logic of traditional computer programs. By examining historical milestones—from the conceptualization of the Turing Test to the resurgence of neural networks in the 21st century—learners will gain a comprehensive understanding of how the field evolved through periods of intense optimism and "AI winters." We will clarify common misconceptions and establish a clear boundary between the Artificial Narrow Intelligence (ANI) that powers today’s world and the theoretical Artificial General Intelligence (AGI) that remains a subject of future research and science fiction.</p>

<p>Beyond the theoretical foundations, the curriculum delves into the mechanics of how AI systems actually function, emphasizing the critical role of high-quality data as the fuel for modern algorithms. Participants will investigate the nuances of Machine Learning, including supervised and unsupervised models, as well as the layered architecture of Deep Learning that mimics human neural processes to solve complex problems. This technical grounding serves as a bridge to exploring real-world applications in high-stakes industries like healthcare and finance, as well as the subtle ways AI influences daily life through recommendation engines and smart assistants. Finally, the course addresses the vital ethical considerations of algorithmic bias and the inherent limitations of current systems, ensuring a balanced perspective on the future of human-AI collaboration and the importance of transparency in automated decision-making.</p>
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