Google Machine Learning and Generative AI for Solutions Architects
Packt Publishing Limited (Verlag)
978-1-80324-527-0 (ISBN)
Key Features
Understand the AI/ML landscape on Google Cloud
Learn Data preparation and model development
Implement MLOps and scaling production workloads with Google Cloud
Book DescriptionAlmost every company nowadays is either using or trying to use AI/ML in some way. While AI/ML research is undoubtedly complex, what is often more complex is actually building and running applications that use AI/ML effectively. This book teaches you how to successfully design and run AI/ML workloads, based on years of experience implementing large-scale and highly complex AI/ML projects at some of the world’s leading technology companies.
Understand the common challenges that companies run into when implementing AI/ML workloads, and industry-proven best practices to overcome those challenges. Learn about the vast AI/ML landscape on Google Cloud and how to implement all of the required steps in a typical AI/ML project. Use services such as BigQuery to prepare data, and Vertex AI to train, deploy, monitor, and scale models in production, as well as MLOps to automate the entire process.
Suitable both for beginners and experienced practitioners, it begins by covering important fundamental AI/ML concepts, and then builds in complexity through examples and hands-on activities to eventually dive deep into advanced, cutting-edge AI/ML applications that address real-world use-cases in today’s market.What you will learn
?Learn about the various AI/ML offerings on Google Cloud, and how they can be used to address specific business problems
?Learn how to source, understand, and prepare data for ML workloads
?Build, train, and deploy ML models on Google Cloud
?Learn how to build an effective MLOps strategy and implement MLOps workloads on Google Cloud
Who this book is forPeople aspiring to become Solution Architects, who want to know how to design and implement AI/ML solutions on Google Cloud.
Basic knowledge of Python and ML concept required. This book will briefly cover the basics at the beginning in order to establish a baseline for the readers, but it will not go into depth on the underlying mathematical concepts that the readers could learn from academic materials. It will focus on how to use AI/ML in the real world on Google Cloud
Kieran Kavanagh is a Principal Architect at Google. He works with large enterprises to guide them on architecting solutions to meet their business needs on Google Cloud. Having spent over a decade and a half working as a Solutions Architect at some of the world's largest technology companies, such as Amazon, AT&T, Ericsson, and Google, he has amassed a wealth of knowledge in architecting extremely large-scale and highly complex technology solutions. He has presented on these topics at more than 100 technology conferences all over the world. Prior to joining Google, he was a Principal AI/ML Solutions Architect in Strategic Accounts at AWS, working with AWS' largest customers to design and build cutting-edge and global-scale AI/ML solutions. He has a passion for AI/ML, and for teaching and helping others to grow their careers in this industry. Originally from Cork, Ireland, Kieran has lived and worked in many countries around the world, and he now resides in Atlanta, GA.
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
ML Governance and the Google Cloud Architecture Framework
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
| Erscheinungsdatum | 14.09.2023 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-80324-527-1 / 1803245271 |
| ISBN-13 | 978-1-80324-527-0 / 9781803245270 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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