In this course, you’ll master AI’s foundational concepts and applications, from intelligent systems to nature-inspired models like neural networks and genetic algorithms.

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In this course, you’ll explore AI’s fundamental concepts and practical applications. Beginning with an introduction to AI, this course covers key ideas like intelligent agents, logic systems, and problem-solving through search algorithms.

You’ll dive into core concepts such as agents, expert systems, fuzzy logic, and advanced search techniques like A* search. Through engaging, real-world examples, you’ll uncover how AI tackles complex problems. Next, you’ll explore nature-inspired algorithms, focusing on artificial neural networks for machine learning and genetic algorithms for optimization problems. These techniques will be explained in a way that highlights their inspiration from biology and their utility in modern AI applications.

By the end of this course, you’ll be equipped with the knowledge and tools to understand and apply AI in a wide range of scenarios. You’ll have a toolkit of AI techniques and an understanding of how to apply them to solve real-world challenges.

Artificial Intelligence Foundations: Logic, Learning, and Beyond

Gain a comprehensive understanding of artificial neural networks, including their functionality and underlying mathematical principles.

Introduction to the Course

Core Concepts of AI

Nature-Inspired AI Algorithms

Wrapping up

Artificial Neural Networks

Overview