ODBIERZ TWÓJ BONUS :: »

Machine Learning Engineering on AWS. Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS - Second Edition Joshua Arvin Lat

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Machine Learning Engineering on AWS. Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS - Second Edition Joshua Arvin Lat - okladka książki

Machine Learning Engineering on AWS. Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS - Second Edition Joshua Arvin Lat - okladka książki

Machine Learning Engineering on AWS. Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS - Second Edition Joshua Arvin Lat - audiobook MP3

Machine Learning Engineering on AWS. Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS - Second Edition Joshua Arvin Lat - audiobook CD

Autor:
Joshua Arvin Lat
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
588
Dostępny format:
     ePub
Ebook
125,10 zł 139,00 zł (-10%)
100,08 zł najniższa cena z 30 dni

Dodaj do koszyka Dostępny natychmiast po opłaceniu zakupu lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

Modern AI systems increasingly leverage large language models, retrieval-augmented generation, and AI agents to power generative AI applications in the cloud. As organizations operationalize these systems at scale, there is a growing need for engineers with strong machine learning engineering expertise. To stay ahead in this rapidly evolving field, you need a deep understanding of AI and ML concepts as well as, practical, hands-on experience with the platforms and tools used to build and operate production-grade AI systems.
Machine Learning Engineering on AWS is a practical guide that shows you how to use AWS services such as Amazon Bedrock and Amazon SageMaker AI to fine-tune, evaluate, and deploy LLMs and generative AI systems. You'll learn how to develop RAG-powered systems, build and deploy AI agents using Bedrock AgentCore and Strands Agents, evaluate models using LLM-as-a-judge techniques, and automate LLMOps pipelines using SageMaker Pipelines. The book also covers best practices for building scalable, secure, and production-ready GenAI systems.
AWS AI hero Joshua Arvin Lat equips you with the skills and practical knowledge to handle a wide variety of ML engineering requirements, helping you design, operationalize, and secure generative AI systems and AI agents on AWS with confidence.
*Email sign-up and proof of purchase required

Wybrane bestsellery

O autorze książki

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO of three Australian-owned companies and also served as the Director for Software Development and Engineering for multiple e-commerce start-ups in the past, which allowed him to be more effective as a leader. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.

Joshua Arvin Lat - pozostałe książki

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki
Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
125,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint