{"product_id":"google-machine-learning-and-generative-kieran-kavanagh-9781803245270","title":"Google Machine Learning and Generative AI for Solutions Architects: \u0026#8203;Build efficient and scalable AI\/ML solutions on Google Cloud","description":"\u003cp\u003e\u003cstrong\u003eArchitect and run real-world AI\/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e: \u003c\/p\u003e\u003cp\u003e- Understand key concepts, from fundamentals through to complex topics, via a methodical approach\u003c\/p\u003e\u003cp\u003e- Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud\u003c\/p\u003e\u003cp\u003e- Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle\u003c\/p\u003e\u003cp\u003e- Purchase of the print or Kindle book includes a free PDF eBook\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eNearly all companies nowadays either already use or are trying to incorporate AI\/ML into their businesses. While AI\/ML research is undoubtedly complex, the building and running of apps that utilize AI\/ML effectively is tougher. This book shows you exactly how to design and run AI\/ML workloads successfully using years of experience some of the world's leading tech companies have to offer.\u003c\/p\u003e\u003cp\u003eYou'll begin by gaining a clear understanding of essential fundamental AI\/ML concepts, before moving on to grasp complex topics with the help of examples and hands-on activities. This will help you eventually explore advanced, cutting-edge AI\/ML applications that address real-world use cases in today's market. As you advance, you'll recognize the common challenges that companies face when implementing AI\/ML workloads, and discover industry-proven best practices to overcome these challenges. The chapters also teach you about the vast AI\/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI\/ML project. You'll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you will be able to unlock the full potential of Google Cloud's AI\/ML offerings.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark\u003c\/p\u003e\u003cp\u003e- Source, understand, and prepare data for ML workloads\u003c\/p\u003e\u003cp\u003e- Build, train, and deploy ML models on Google Cloud\u003c\/p\u003e\u003cp\u003e- Create an effective MLOps strategy and implement MLOps workloads on Google Cloud\u003c\/p\u003e\u003cp\u003e- Discover common challenges in typical AI\/ML projects and get solutions from experts\u003c\/p\u003e\u003cp\u003e- Explore vector databases and their importance in Generative AI applications\u003c\/p\u003e\u003cp\u003e- Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for aspiring solutions architects looking to design and implement AI\/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI\/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- AI\/ML Concepts, Real-World Applications, and Challenges \u003c\/p\u003e\u003cp\u003e- Understanding the ML Model Development Lifecycle\u003c\/p\u003e\u003cp\u003e- AI\/ML Tooling and the Google Cloud AI\/ML Landscape\u003c\/p\u003e\u003cp\u003e- Utilizing Google Cloud's High-Level AI Services\u003c\/p\u003e\u003cp\u003e- Building Custom ML Models on Google Cloud\u003c\/p\u003e\u003cp\u003e- Diving Deeper-Preparing and Processing Data for AI\/ML Workloads on Google Cloud\u003c\/p\u003e\u003cp\u003e- Feature Engineering and Dimensionality Reduction\u003c\/p\u003e\u003cp\u003e- Hyperparameters and Optimization\u003c\/p\u003e\u003cp\u003e- Neural Networks and Deep Learning \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e- (N.B. Please use the Read Sample option to see further chapters)\u003c\/strong\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Kieran Kavanagh\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1803245271\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781803245270\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Packt Publishing\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/28\/2024\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 552\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.07lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 1.12d","brand":"Kieran Kavanagh","offers":[{"title":"Paperback","offer_id":45934199177471,"sku":"9781803245270","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_5dac075b-b1c1-4127-9cfb-e27d426a7650.jpg?v=1721790584","url":"https:\/\/www.whiterainbookhouse.com\/products\/google-machine-learning-and-generative-kieran-kavanagh-9781803245270","provider":"WR Book House","version":"1.0","type":"link"}