Artificial Intelligence I: Meta-Heuristics and Games in Java

Resumen

Embark on a comprehensive journey through the realm of Artificial Intelligence with our engaging course titled "Artificial Intelligence I:

Meta-Heuristics and Games in Java", brought to you by Udemy. This course is meticulously designed to furnish you with a deep understanding of AI principles, focusing on meta-heuristics, graph algorithms, and the intriguing world of game development using Java.

In this course, you'll dive into:

• Core concepts of Artificial Intelligence and its real-world applications.
• Graph search algorithms including BFS, DFS, and A* search.
• Advanced topics on meta-heuristics, genetic algorithms, and simulated annealing.
• The dynamic field of swarm intelligence and particle swarm optimization.
• Game trees, minimax algorithm, and alpha-beta pruning.
• Developing a Tic Tac Toe game from scratch using the minimax algorithm.

Through a blend of theoretical knowledge and practical implementation, you'll uncover how AI algorithms operate and how they can be utilized in various sectors, from software engineering to investment banking.

The course will guide you through pathfinding algorithms, optimization approaches, insights into swarm intelligence, and the strategic utilization of game trees and game engines.

Whether you're fascinated by the prospect of detecting patterns to aid in cancer detection or intrigued by algorithmic stock price predictions, this course offers a solid foundation in AI that could be a game-changer in your career.

Join us on this enlightening journey into the world of Artificial Intelligence with our course on Udemy, categorized under Artificial Intelligence Courses and Game Development Courses. Let's get started and explore the endless possibilities that AI has to offer!

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Impartido por

Holczer Balazs

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Materias