Artificial Intelligence Part II- Game Playing Agents

Concepts, Principles and practices of building Artificial Intelligence based systems to play games
4.38 (77 reviews)
Udemy
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English
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Artificial Intelligence Part II- Game Playing Agents
3 057
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3.5 hours
content
Jan 2022
last update
$13.99
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Why take this course?


Course Title: Artificial Intelligence Part II - Game Playing Agents

Instructor: Xavier Chelladurai

Headline: Dive into the World of AI: Master the Art of Creating Intelligent Game Players!


Course Description:

Embark on a fascinating journey into the heart of artificial intelligence with our "Artificial Intelligence Part II - Game Playing Agents" course. This comprehensive program is designed to equip you with the knowledge and skills required to create intelligent systems that can play games, providing insights into the intricate workings of AI in this context.

What You'll Learn:

  • Understanding Intelligent Agents: We kick off the course with a foundational overview of how intelligent agents think and operate, setting the stage for the complexities of game playing.

  • Mastering Min-Max Strategies: Dive deep into the classic two-person, zero-sum games where each player's win is the other's loss. Learn how to implement the Min-Max algorithm to evaluate all possible moves and decide the most optimal strategy.

  • Alpha-Beta Pruning for Multiplayer Games: Discover Alpha Beta Pruning, a technique that significantly speeds up the decision-making process in games with multiple players by eliminating branches that won't make a difference in the final decision.

  • Advanced Concepts in Game Theory: Explore the nuances of stochastic games, where chance plays a role in determining the next move, and partially observable games, where incomplete information adds an extra layer of complexity to strategy formulation.

  • State-of-the-Art Game Programs: Get up close with some of the most advanced game programs and explore modern approaches that push the boundaries of AI in gaming environments.

Course Highlights:

  • Historical Perspective: Reflect on the milestones of AI in games, from IBM Deep Blue's historic defeat of Garry Kasparov in chess to the latest advancements in game playing technology.

  • Real-World Applications: Learn how the principles and practices covered in this course are applied across various domains, from traditional board games to complex video games.

  • Hands-On Learning: Engage with practical examples and exercises that solidify your understanding of AI algorithms and their implementation in game playing scenarios.

  • Cutting-Edge Techniques: Stay ahead of the curve by learning about the latest algorithms, heuristics, and statistical methods used to navigate the uncertainties inherent in games.

Why Take This Course? 🎲✨

  • Expert Instructor: Xavier Chelladurai, an experienced course instructor, will guide you through the course material with his expertise and real-world insights.

  • Interactive Content: Learn through a blend of video lectures, reading materials, and hands-on projects that cater to different learning styles.

  • Community Engagement: Join a community of like-minded learners, exchange ideas, and collaborate on projects that showcase your newfound AI skills in game playing contexts.

  • Career Opportunities: Equip yourself with the tools to innovate and lead within the AI industry, particularly in game development, competitive gaming analytics, and more.

Enroll now and transform your understanding of artificial intelligence through the lens of game playing! 🚀🧠


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4372818
udemy ID
29/10/2021
course created date
04/11/2021
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