Artificial Intelligence I: Meta-Heuristics and Games in Java
Graph Algorithms, Genetic Algorithms, Simulated Annealing, Swarm Intelligence, Minimax, Heuristics and Meta-Heuristics
4.39 (833 reviews)
8 506
students
9 hours
content
Mar 2022
last update
$99.99
regular price
What you will learn
Get a good grasp of artificial intelligence
Understand how AI algorithms work
Understand graph search algorithms - BFS, DFS and A* search
Understand meta-heuristics
Understand genetic algorithms
Understand simulated annealing
Understand swarm intelligence and particle swarm optimization
Understand game trees
Understand minimax algorithm and alpha-beta pruning
Tic Tac Toe game from scratch with minimax algorithm
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Our Verdict
As an introductory course on AI algorithms in Java, this Udemy offering by István Hoczer provides a comprehensive overview and solid foundation. Students will appreciate the combination of theoretical explanations and practical demonstrations, yet may find areas where greater detail or updated coding examples could further enhance their learning experience.
What We Liked
- In-depth understanding of graph search algorithms, genetic algorithms, simulated annealing, swarm intelligence, and minimax algorithm
- Practical Java implementations for each concept, helping students grasp the underlying code structure easily
- Well-structured course with clear explanations, making even complex topics easier to understand
- Up-to-date in 2022, ensuring that the information remains relevant in today's AI landscape
Potential Drawbacks
- Some topics could benefit from more detailed and clearer presentations
- Minimal structured exercises for practicing the concepts taught
- Older-style Java coding examples, which may not align with contemporary conventions
Related Topics
528460
udemy ID
15/06/2015
course created date
05/08/2019
course indexed date
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