MLOps Mastery: Building and Scaling Trustworthy AI Systems and Robust ML Pipelines with Machine Leaing Operations

by: Mason Leblanc (Author)

Publication Date: February 22, 2024

Language: English

Print Length: 236 pages

ISBN-13: 9798882512414

Book Description

Machine leaing holds immense potential, but its real-world impact hinges on trust and reliability. MLOps, the bridge between ML development and operations, empowers you to build and scale robust systems that deliver consistent valueThis book equips you with the knowledge and tools to navigate the complexities of MLOps. Gain insights from practical case studies and proven methodologies, ensuring your ML projects transition seamlessly from development to production.This book will help you: Master the MLOps Methodology: Demystify the entire ML lifecycle, from data pipelines and model training to deployment, monitoring, and goveance.Build Trustworthy Systems: Implement best practices for bias detection, explainability, and faiess, ensuring your models align with ethical and regulatory standards.Scale with Confidence: Explore robust infrastructure and automation techniques to handle increasing data volumes and model complexity.Choose the Right Tools: Navigate the ever-evolving MLOps landscape and select the technologies that best suit your specific needs and goals.About the Reader: This book is for you if you are: Machine Leaing Engineers: Elevate your skills and confidently build, deploy, and manage production-grade ML systems.Data Scientists: Bridge the gap between model development and real-world impact with MLOps best practices.DevOps Engineers: Expand your skillset to encompass the unique requirements of ML deployments and operations.Business Leaders: Understand the value of MLOps and make informed decisions about adopting this critical technology.Ready to start your MLOps jouey now? Get your copy of “MLOps Mastery” and build the future of reliable and scalable machine leaing.
Machine leaing holds immense potential, but its real-world impact hinges on trust and reliability. MLOps, the bridge between ML development and operations, empowers you to build and scale robust systems that deliver consistent valueThis book equips you with the knowledge and tools to navigate the complexities of MLOps. Gain insights from practical case studies and proven methodologies, ensuring your ML projects transition seamlessly from development to production.This book will help you: Master the MLOps Methodology: Demystify the entire ML lifecycle, from data pipelines and model training to deployment, monitoring, and goveance.Build Trustworthy Systems: Implement best practices for bias detection, explainability, and faiess, ensuring your models align with ethical and regulatory standards.Scale with Confidence: Explore robust infrastructure and automation techniques to handle increasing data volumes and model complexity.Choose the Right Tools: Navigate the ever-evolving MLOps landscape and select the technologies that best suit your specific needs and goals.About the Reader: This book is for you if you are: Machine Leaing Engineers: Elevate your skills and confidently build, deploy, and manage production-grade ML systems.Data Scientists: Bridge the gap between model development and real-world impact with MLOps best practices.DevOps Engineers: Expand your skillset to encompass the unique requirements of ML deployments and operations.Business Leaders: Understand the value of MLOps and make informed decisions about adopting this critical technology.Ready to start your MLOps jouey now? Get your copy of “MLOps Mastery” and build the future of reliable and scalable machine leaing.