9798868821981 - data engineering with generative and agentic ai on aws: building an ai-augmented data practice for the enterprise de leto, justin j. (18 resultados)
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 38,66
Envío por EUR 2,29Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa blanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 41,04
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to design next-generation data architecturesfrom data lakes and… data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniqueshe prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architecturesincluding data lakes, data mesh, and data martsand understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 41,18
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 41,04
Envío por EUR 2,29Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa blanda
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 50,63
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 8 disponibles
Paperback. Condición: New. Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to design next-generation data architectures-from data lakes and data mesh… to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques-he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architectures-including data lakes, data mesh, and data marts-and understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 51,31
Envío por EUR 7,81Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 48,64
Envío por EUR 17,34Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 51,30
Envío por EUR 17,34Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa blanda
Librería: Wegmann1855, Zwiesel, , AlemaniaWegmann1855
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,84
Envío por EUR 25,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware -Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to design next-generation data architecturesfrom data lakes and… data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniqueshe prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:- Master the core principles and practices of data engineering to build a long, successful career in the field.- Accelerate your impact using AWS cloud services for scalable, modern data solutions.- Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.- Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.- Design and deploy modern data architecturesincluding data lakes, data mesh, and data martsand understand when to use each.- Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.- Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.- Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience.
- Tapa blanda
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 52,18
Envío por EUR 43,45Se envía dentro de Estados Unidos de AmericaCantidad disponible: 8 disponibles
Paperback. Condición: New. Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to design next-generation data architectures-from data lakes and data mesh… to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques-he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architectures-including data lakes, data mesh, and data marts-and understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience.
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,25
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. Data Engineering with Generative and Agentic AI on AWS | Building an AI-Augmented Data Practice for the Enterprise | Justin J. Leto | Taschenbuch | xxxii | Englisch | 2026 | Apress | EAN 9798868821981 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz… 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 56,42
Envío por EUR 75,13Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 8 disponibles
Paperback. Condición: New. Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to design next-generation data architectures-from data lakes and data mesh… to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques-he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architectures-including data lakes, data mesh, and data marts-and understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience.
- Tapa blanda
Librería: Books-by-Floh, Paderborn, AlemaniaBooks-by-Floh
Contactar con el vendedorVendedor de 3 estrellasCondición: Nuevo
EUR 81,46
Envío por EUR 105,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware -Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to design next-generation data architecturesfrom data lakes and… data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniqueshe prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:- Master the core principles and practices of data engineering to build a long, successful career in the field.- Accelerate your impact using AWS cloud services for scalable, modern data solutions.- Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.- Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.- Design and deploy modern data architecturesincluding data lakes, data mesh, and data martsand understand when to use each.- Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.- Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.- Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience. 632 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, , AlemaniaRheinberg-Buch Andreas Meier eK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,84
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to…design next-generation data architectures from data lakes and data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architectures including data lakes, data mesh, and data marts and understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience. 632 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,84
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to…design next-generation data architectures from data lakes and data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architectures including data lakes, data mesh, and data marts and understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience. 598 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, , Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 48,37
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,84
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to desi…gn next-generation data architecturesfrom data lakes and data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniqueshe prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:- Master the core principles and practices of data engineering to build a long, successful career in the field.- Accelerate your impact using AWS cloud services for scalable, modern data solutions.- Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.- Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.- Design and deploy modern data architecturesincluding data lakes, data mesh, and data martsand understand when to use each.- Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.- Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.- Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 632 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 60,80
Envío por EUR 65,85Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unlock the future of cloud data engineering with generative and agentic AI on AWS.This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.Learn to desig…n next-generation data architectures from data lakes and data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.What You Will Learn:Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architectures including data lakes, data mesh, and data marts and understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.Who this Book Is For:Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience.
