The role of artificial intelligence (AI) and machine learning (ML) in modern education is rapidly expanding, particularly in the fields of science, technology, engineering, and mathematics (STEM). STEM education is focused on fostering students' creativity, critical thinking, and problem-solving skills. Integrating AI offers opportunities for personalized learning and adaptive strategies that enhance educational outcomes.

This research explores AI and ML adoption in Kazakhstan’s educational system, especially in STEM education. While global advancements in AI-driven education are well-documented, Kazakhstan is still developing its AI educational infrastructure. The objectives of this study are to analyze existing challenges and propose solutions to enhance machine learning education in Kazakhstan, by developing custom software applications rather than relying on pre-built solutions.

The methodology of this research involves the practical use of AI tools such as OpenCV and Dlib, to help students understand and apply machine learning techniques in real-world scenarios. Through hands-on projects, the study evaluates the effectiveness of these tools in improving programming skills and deepening students’ understanding of AI. The results include the analysis of the training programs implemented in Kazakhstani universities and their impact on student learning outcomes. The conclusions highlight the potential of AI to revolutionize STEM education in Kazakhstan and the need for continued development in this area.

Keywords: Artificial Intelligence, Machine Learning, STEM Education, future teachers, computer science, programming skills, OpenCV, Dlib, Kazakhstan, personalized learning, face recognition, educational process.