This course covers the end-to-end process of building and maintaining production ML systems. It includes modules on data needs and modeling strategies, which touch upon the importance of choosing the right data storage and handling evolving data, a key consideration when deciding between row, columnar, and vector-based storage.
Start your journey into production/mlops with foundational concepts and hands-on exercises designed for newcomers.
Build on your existing knowledge with intermediate mlops techniques and real-world applications.
Master the skills employers are hiring for in 2026: Agentic AI, critical thinking, and AI governance
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