Shypd.aiThe largest open index of AI toolsPractical-mlops-book is an open-source resource providing code samples and guidance for the O'Reilly book "Practical MLOps." It helps ML engineers learn end-to-end ML engineering and deployment strategies.
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Practical-mlops-book is a public GitHub repository that serves as a companion to the O'Reilly book "Practical MLOps." It offers a comprehensive collection of code samples and practical examples covering various aspects of MLOps, from introduction and foundations to continuous delivery, monitoring, and deployment strategies across different cloud platforms like AWS, Azure, and GCP. The resource is associated with Pragmatic AI Labs, which also provides courses for ML engineers, aiming to equip them with the knowledge and skills needed to build and deploy production-grade AI systems. It includes chapters on AutoML, MLOps for specific cloud providers, machine learning interoperability, and building MLOps command-line tools, making it a valuable learning asset for those looking to master MLOps.
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