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GenAI 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.
Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, GenAI 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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Olivier Bergeret is a technical leader at Amazon Web Services (AWS)working on database and analytics services. He has over twenty-five years of experience in data engineering and analytics. Since joining AWS in 2015, he’s supported the launch of most of AWS AI services including Amazon SageMaker and AWS DeepRacer. He is a regular speaker and presenter at various data, AI and cloud events.
Asif Abbasi is a principal solutions architect at AWS and has spent the last twenty years working in various roles with a focus around data analytics, AI/ML, DWH strategic and technical implementations, J2EE enterprise applications design/development and Project Management.
Joel Farvault is a principal solutions architect analytics at Amazon Web Services. He has 25 years’ experience working on enterprise architecture, data strategy, and analytics, mainly in the financial services industry. He has led data transformation projects on fraud analytics, business intelligence, and data governance.