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Book Overview & Buying
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Table Of Contents
Machine Learning Engineering on AWS - Second Edition
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Machine Learning Engineering on AWS
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Overview of this book
Recent advancements in generative AI, large language models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents have created a soaring demand for machine learning engineers who can build, manage, and scale modern AI-powered systems. To stay ahead in this rapidly evolving AI landscape, you need a deep theoretical understanding as well as hands-on expertise with the right tools, services, and platforms.
Machine Learning Engineering on AWS is a practical guide that teaches you how to harness AWS services such as Amazon Bedrock and the next generation of Amazon SageMaker to build, optimize, and manage production-ready ML systems. You’ll learn how to build RAG-powered GenAI applications, automate LLMOps workflows, develop reliable and responsible AI agents, and optimize a managed transactional data lake. The book also covers proven deployment and evaluation strategies for dealing with various models, along with practical examples to help you manage, troubleshoot, and optimize ML systems running on AWS.
Guided by AWS Machine Learning Hero Joshua Arvin Lat, you’ll be able to grasp complex ML concepts with clarity and gain the confidence to operationalize and secure GenAI applications on AWS to meet a wide variety of ML engineering requirements.
Table of Contents (9 chapters)
Free Chapter
Machine Learning Engineering on AWS, Second Edition: Operationalize and optimize generative AI systems and LLMOps pipelines in production
Chapter 1: A Gentle Introduction to Generative AI on AWS
Chapter 2: Getting Started with Retrieval-Augmented Generation on AWS
Chapter 3: Machine Learning Engineering with Amazon SageMaker
Chapter 4: Building a Generative AI-powered Chatbot with Amazon Textract and Amazon Q Business
Chapter 5: Practical Data Management on AWS
Chapter 6: Pragmatic Data Processing and Analysis on AWS
Chapter 7: Getting Started with SageMaker Training Solutions
Chapter 8: Diving Deeper into SageMaker Training Solutions
