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The ‘Algoritmos Genéticos em Python’ course on Udemy is an excellent resource for anyone interested in exploring the fascinating world of Genetic Algorithms and their practical applications in Artificial Intelligence. This course provides a thorough introduction to the fundamental concepts of genetic algorithms, such as populations, individuals, crossover, and mutation, all explained with clear, step-by-step guidance using Python programming language. One of the standout features of this course is its hands-on approach, where learners develop a complete genetic algorithm from scratch, tailored to a real-world scenario involving a transportation company. The problem tackled—optimizing product transportation with limited truck space and maximizing profits—is both relevant and engaging, making the learning process highly applicable to actual business challenges. Moreover, the course includes a valuable bonus segment on integrating MySQL databases, enabling students to work with real data, which is crucial for deploying solutions in commercial environments. Whether you’re a beginner seeking to get started with artificial intelligence and genetic algorithms or an experienced developer looking for a solid review, this course caters to all levels. The detailed coding exercises, combined with practical examples, ensure that students leave with a functional algorithm that can be adapted to various other optimization problems. Overall, I highly recommend this course for its clarity, practicality, and comprehensive coverage of genetic algorithms in Python. It’s an ideal stepping stone for those looking to enhance their AI skill set and implement real-world solutions efficiently.
Enroll Course: https://www.udemy.com/course/algoritmos-geneticos-em-python/