Learn the engineering skills behind building real-world machine learning systems that are scalable, accurate, and production-ready. You’ll explore data pipelines, model training workflows, evaluation metrics, and deployment strategies used by ML engineers in industry. By the end, you’ll be able to design and implement applied ML solutions that solve practical business and technical problems.