A key task in genomics is classifying DNA sequences, which helps with genetic data interpretation, disease diagnosis, and evolutionary study. The field of DNA sequence classification has undergone a revolution with the introduction of artificial intelligence (AI) tools, particularly machine learning and deep learning algorithms. The categorization of DNA sequences is thoroughly examined in this chapter using AI approaches. This study uses a variety of AI algorithms and a small example dataset of DNA sequences to reveal the complex patterns concealed in genomic data. The precise classification of DNA sequences is made possible by the incorporation of AI approaches, which allow for the extraction of pertinent information and the discovery of discriminatory patterns. The chapter presents the uses of AI-driven DNA sequence classification in addition to its technical elements. The results highlight AI's effectiveness in managing the complexity of genomic data as well as its potential to improve the precision and effectiveness of jobs involving DNA sequence classification. The results also shed light on how crucial it is to choose the right AI algorithms, model architectures, and feature representation techniques to get the best classification performance. The combination of AI and DNA sequence classification promises to reveal unique insights into genetic information as genomics remains at the forefront of scientific developments. This will open the door for creative applications in customized treatment, disease diagnosis, and evolutionary studies.