Mastering AI System Design by Soudamini Sreepada (.ePUB)+
File Size: 29.7 MB
Mastering AI System Design: Architect, Build and Deploy AI Systems Using 10 Domain Driven Blueprints and Interview Strategies by Soudamini Sreepada
Requirements: .ePUB, .PDF reader, 29.7 MB
Overview: From Whiteboards to Workloads – Bridging AI Theory and Practice. System design is now a critical skill for AI professionals, enabling them to integrate data pipelines, model serving, orchestration, and monitoring into cohesive production ecosystems. Mastering AI System Design will guide you through that complete journey—from understanding design principles and data workflows to building deployable AI architectures. It introduces core components of AI system design such as data engineering, model selection, evaluation metrics, API integration, and lifecycle management. Each chapter blends theory, architecture diagrams, and code-driven blueprints that cover real-world use cases—LLMs and prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, supervised and unsupervised learning systems, recommendation engines, edge AI deployment, and multimodal transformers. This book is designed for AI Engineers, Data Scientists, Machine Learning Engineers, MLOps Practitioners, Applied Researchers, and Technical Architects aiming to master AI system design. It is equally valuable for graduate students, educators, and interview aspirants preparing for roles in applied AI and data science. Readers should have a working knowledge of Python, Machine Learning fundamentals, and basic model development to fully benefit from the hands-on case studies and system blueprints presented in this book.
Genre: Non-Fiction > Tech & Devices
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