Google Machine Learning and Generative AI for Solutions Architects
?Build efficient and scalable AI/ML solutions on Google Cloud
Published on 23. September 2024
552 pages
978-1-80324-702-1 (ISBN)
Description
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
Product notice
Reflowable
File size
14,59 MB
ISBN-13
978-1-80324-702-1 (9781803247021)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Additional editions
Kieran Kavanagh
Google Machine Learning and Generative AI for Solutions Architects
?Build efficient and scalable AI/ML solutions on Google Cloud
Book
06/2024
Packt Publishing
€105.00
Shipment within 3-4 weeks
Persons
Kavanagh Kieran :
Kieran Kavanagh is a Principal Architect at Google Cloud, working with Google's largest retail customers and driving some of the industry's most challenging digital transformation and generative AI initiatives. Before joining Google, he was a Principal AI/ML Solutions Architect in Strategic Accounts at Amazon Web Services (AWS), building some of the most complex AI/ML systems in the world. He was also a Principal Architect at AT&T, leading their Mobile Internet infrastructure design, and he is a public speaker on the topics of AI/ML, MLOps, and large-scale cloud transformation. Originally from Cork, Ireland, he now lives in Atlanta, GA, with his wife, Katelyn.
Kieran Kavanagh is a Principal Architect at Google Cloud, working with Google's largest retail customers and driving some of the industry's most challenging digital transformation and generative AI initiatives. Before joining Google, he was a Principal AI/ML Solutions Architect in Strategic Accounts at Amazon Web Services (AWS), building some of the most complex AI/ML systems in the world. He was also a Principal Architect at AT&T, leading their Mobile Internet infrastructure design, and he is a public speaker on the topics of AI/ML, MLOps, and large-scale cloud transformation. Originally from Cork, Ireland, he now lives in Atlanta, GA, with his wife, Katelyn.
Content
Table of Contents
AI/ML Concepts, Real-World Applications, and Challenges
Understanding the ML Model Development Lifecycle
AI/ML Tooling and the Google Cloud AI/ML Landscape
Utilizing Google Cloud's High-Level AI Services
Building Custom ML Models on Google Cloud
Diving Deeper-Preparing and Processing Data for AI/ML Workloads on Google Cloud
Feature Engineering and Dimensionality Reduction
Hyperparameters and Optimization
Neural Networks and Deep Learning
Deploying, Monitoring, and Scaling in Production
Machine Learning Engineering and MLOps with GCP
Bias, Explainability, Fairness, and Lineage
ML Governance and the Google Cloud Architecture Framework
Advanced Use Cases and Technologies
An Introduction to Generative AI
Generative AI on Google Cloud
Advanced Generative AI Concepts and Use Cases
Bringing It All Together-Building ML Solutions with GCP and Vertex
AI/ML Concepts, Real-World Applications, and Challenges
Understanding the ML Model Development Lifecycle
AI/ML Tooling and the Google Cloud AI/ML Landscape
Utilizing Google Cloud's High-Level AI Services
Building Custom ML Models on Google Cloud
Diving Deeper-Preparing and Processing Data for AI/ML Workloads on Google Cloud
Feature Engineering and Dimensionality Reduction
Hyperparameters and Optimization
Neural Networks and Deep Learning
Deploying, Monitoring, and Scaling in Production
Machine Learning Engineering and MLOps with GCP
Bias, Explainability, Fairness, and Lineage
ML Governance and the Google Cloud Architecture Framework
Advanced Use Cases and Technologies
An Introduction to Generative AI
Generative AI on Google Cloud
Advanced Generative AI Concepts and Use Cases
Bringing It All Together-Building ML Solutions with GCP and Vertex
