This is an introductory course to the Genetic Algorithms. We will cover the most fundamental concepts in the area of nature-inspired Artificial Intelligence techniques. Obviously, the main focus will be on the Genetic Algorithm as the most well-regarded optimization algorithm in the history. Genetic Algorithm is a search method that can be easily applied to different applications including Machine Learning, Data Science, Neural Networks, and Deep learning.

With over 10 years of experience in this field, I have structured this course to take you from novice to expert in no time. Each section introduces one fundamental concept and takes you through the theory and implementation. The course is concluded by solving several case study using the Genetic Algorithm.

Most of the lectures come with coding videos. In such videos, the step-by-step process of implementing the optimization algorithms or problems are presented. We have also a number of quizzes and exercises to practice the theoretical knowledge covered in the lectures.

Here is the list of topics covered:
Inspiration of the Genetic Algorithm
Selection or survival of the fittest
Recombination or crossover
Mutation
Elitism
Implementation
Application

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