GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS

Create cutting-edge generative AI apps on the Amazon Web Services^® cloud

In Gen AI on AWS^®: A Practical Approach to Building Generative AI Applications on AWS, a team of expert cloud and software engineers deliver a hands-on roadmap to creating useful generative AI apps from scratch on the Amazon Web Services cloud platform. You’ll find actionable strategies and techniques you can deploy immediately to start writing secure, practical, and reliable applications that implement the latest generative artificial intelligence capabilities.

Beginning with novice-friendly introductions to topics like the history of artificial intelligence, the basics of machine learning, and the definition of deep learning, the book goes on to explain exactly how to make use of AWS’s extensive library of generative AI tools.

Perfect for cloud engineers, cloud solutions consultants, software engineers, and other technical professionals, Gen AI on AWS is also a can’t-miss resource for non-technical business leaders, managers, executives, and directors who seek to better understand the opportunities and potential of the AWS-based AI tools already available to firms today.

OLIVIER BERGERET is a technical leader at Amazon Web Services (AWS), working on database and analytics services. He has over 25 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 such as AWS re:Invent, AWS Summits and third-party conferences.

ASIF ABBASI is a Principal Solutions Architect at AWS and has spent the last 20 years working in various roles with focus around Data Analytics, AI/ML, DWH Strategic and Technical Implementations, J2EE Enterprise applications design/development and Project Management. Asif is an Amazon Certified SA, Hortonworks Certified Hadoop professional and Administrator, Certified Spark Developer, SAS Certified Predictive Modeler, along with being a Sun Certified Enterprise Architect and a Teradata Certified Master.

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. Joel has led data transformation projects on fraud analytics, business intelligence, and data governance. He is also a lecturer on Data Analytics at IA School, at Neoma Business School and at Ecole Superieure de Genie Informatique (ESGI). Joel holds several associate and specialty certifications on AWS.