The Definitive Guide to Machine Learning Operations in AWS
The Definitive Guide to Machine Learning Operations in AWS:
Machine Learning Scalability and Optimization with AWS
English | 2024 | ASIN : B0DGKDTPBF | 432 Pages | PDF | 15 MB
Machine Learning Scalability and Optimization with AWS
English | 2024 | ASIN : B0DGKDTPBF | 432 Pages | PDF | 15 MB
This book explains how to design, develop, and deploy ML workloads at scale using AWS cloud's well-architected pillars. It starts with an introduction to AWS services and MLOps tools, setting up the MLOps environment. It covers operational excellence, including CI/CD pipelines and Infrastructure as code. Security in MLOps, data privacy, IAM, and reliability with automated testing are discussed. Performance efficiency and cost optimization, like Right-sizing ML resources, are explored. The book concludes with MLOps best practices, MLOPS for GenAI, emerging trends, and future developments in MLOps