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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.7 (59)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.7 (59)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.
Table of Contents (20 chapters)
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18
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19
Index

Generative AI reference architecture for building a mortgage assistant app

The homebuying process can often appear daunting to prospective buyers, primarily due to the overwhelming amount of paperwork involved. Frequently, buyers find themselves needing more time and an in-depth understanding of the intricate details within these documents. Consequently, they experience feelings of being overwhelmed, confused, and occasionally frustrated as they grapple with grasping the significance of what they are signing, particularly in the context of mortgage-related paperwork.

Addressing these challenges becomes paramount in enhancing the overall customer experience and building trust between buyers and lenders throughout the loan application and closing process. To alleviate this burden and empower homebuyers, a generative AI solution can assist them in comprehending their loan terms and conditions better without relying on mortgage experts or attorneys.

This section delves into the...

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