Comprehensive Training of Future Computer Science Teachers Using STEM Technologies, Machine Learning and Neural Networks

Artificial Intelligence (AI), Machine Learning (ML), and Neural Networks play an increasingly significant role in modern education. STEM education (Science, Technology, Engineering, and Mathematics) focuses on developing students' creative abilities, critical thinking, and problem-solving skills. Integrating AI and neural networks into the learning process facilitates personalized and adaptive learning strategies. In STEM education, the use of AI and computer technologies (CT), especially neural networks, significantly enhances students' overall educational outcomes. While the integration of machine learning algorithms into the education sector is widespread globally, their development remains crucial and relevant in Kazakhstan. This study aims to broaden students' understanding of machine learning and neural networks while equipping them with new programming skills. The focus is on developing original software applications rather than relying on ready-made solutions. The article explores practical applications of AI and neural network tools, such as OpenCV and Dlib, and analyzes practical programs and teaching methods implemented in universities in Kazakhstan.