GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWSКНИГИ » ПРОГРАММИНГ
Название: GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS Автор: Olivier Bergeret, Asif Abbasi, Joel Farvault Издательство: Wiley Год: 2025 Страниц: 368 Язык: английский Формат: epub (true) Размер: 17.1 MB
The definitive guide to leveraging AWS for Generative AI.
GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS.
This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of Machine Learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform.
Machine Learning (ML), a subset of Artificial Intelligence (AI), focuses on developing algorithms and models that learn from data to make predictions or decisions without explicit programming. This approach differs from traditional programming methods, where rules are manually defined. Instead, ML systems automatically learn and improve through experience. These algorithms are initially trained on extensive datasets to detect and identify patterns. As they process additional data, the algorithms continuously refine their approach, learning and adapting. This iterative process allows machine learning systems to accumulate knowledge and enhance their decision-making and predictive capabilities. Over time, these systems demonstrate increasing accuracy and sophistication in their outputs. The ability of ML to evolve and improve autonomously makes it a powerful tool for handling complex, data-driven tasks across various fields, from image recognition to natural language processing. By leveraging the power of data and computational learning, machine learning opens up new possibilities for solving problems and gaining insights that were previously beyond reach.
In the book, you'll: • Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS • Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools • Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI
Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.
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GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS 
