Genetic algorithms are a powerful tool for solving complex problems where there isn't an obvious solution or way to test different solutions. In this course you will learn the ins and outs of genetic algorithms, how they are built, what makes them tick, and how to design one for yourself. This is not just another lecture-based course where I teach you a bunch of theory and expect that you can implement it yourself. I go over every single step of creating a simple genetic algorithm from scratch in Python, demonstrating all of their elements as we build it to ensure that you understand how everything works together as a single unit. By the end of this course you will have developed a strong understanding about genetic algorithms, how they work and how to use them to build solutions for your own problems. By learning this technique you’ll have an edge over your competition as more companies start using algorithmic approaches even for simple decisions. This course is aimed at anyone who wants to understand, learn and apply simple genetic algorithms to solve problems for real-world applications. The course assumes prior experience with Python, and you will be able to immediately start applying the concepts learned in your own projects.