Artificial Intelligence Foundations: Logic, Learning, and Beyond
In this AI course, explore fundamentals like intelligent agents and logic systems. Discover neural networks and genetic algorithms, diving into nature-inspired methods for modern applications.
4.4
12 Lessons
2h
Updated 2 weeks ago
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In this course, you’ll explore AI’s fundamental concepts and practical applications. Starting with what artificial intelligence is, it 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.
After completing this course, you’ll have the knowledge and tools to understand and apply AI in various scenarios. You’ll gain a suite of AI tools and techniques and the expertise to apply them effectively to solve real-world challenges.
In this course, you’ll explore AI’s fundamental concepts and practical applications. Starting with what artificial intelligence ...Show More
WHAT YOU'LL LEARN
Comprehensive understanding of foundational AI concepts and applications
Familiarity with intelligent systems, agents, logic, and search algorithms
Working knowledge of expert systems, fuzzy logic, and its applications in uncertain environments
Hands-on experience with nature-inspired algorithms like artificial neural networks and genetic algorithms
Comprehensive understanding of foundational AI concepts and applications
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TAKEAWAY SKILLS
Learning Roadmap
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