Kirk Borne

"Machine Learning Engineering on AWS: Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS" — at https://t.co/IpFbewIxPa v/ @PacktPublishing 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗟𝗲𝗮𝗿𝗻: 🟢Build and deploy AI agents using Bedrock AgentCore and Strands Agents 🟡Dive deep into ML engineering with Amazon SageMaker AI 🟠Evaluate model performance using LLM-as-a-judge 🟢Explore advanced model fine-tuning and deployment using SageMaker AI 🟡Build RAG-powered systems using Bedrock Knowledge Bases and S3 Vectors 🟠Modernize analytics with a managed transactional data lake 🟢Automate LLMOps pipelines using SageMaker Pipelines and AWS Lambda 🟡Explore best practices for building GenAI systems and AI agents on AWS 🟠SageMaker AI Model Training, Tuning Capabilities, Deployment Options, and Strategies This book is intended for AI engineers, data scientists, machine learning engineers, and technology leaders who want to deepen their understanding of machine learning engineering, generative AI, large language models, retrieval-augmented generation, AI agents, and MLOps on AWS.