Course info

This course provides a comprehensive introduction to machine learning (ML) deployment and software development, focusing on the tools and methodologies required to operationalize machine learning models. Students will learn to design, deploy, and manage ML pipelines using ML operation (MLOps) best practices, cloud platforms, and software development principles. Key topics include version control, CI/CD pipelines, containerization, cloud deployment, monitoring, and security. By the end of the course, students will be equipped to implement scalable and reliable machine learning solutions in real-world production environments.