The Definitive Guide to Google Vertex AI: Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices

Implement machine learning pipelines with Google Cloud Vertex AI

Key Features:

• Understand the role of an AI platform and MLOps practices in machine learning projects
• Get acquainted with Google Vertex AI tools and offerings that help accelerate the creation of end-to-end ML solutions
• Implement Vision, NLP, and recommendation-based real-world ML models on Google Cloud Platform
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

While AI has become an integral part of every organization today, the development of large-scale ML solutions and management of complex ML workflows in production continue to pose challenges for many. Google's unified data and AI platform, Vertex AI, directly addresses these challenges with its array of MLOPs tools designed for overall workflow management.

This book is a comprehensive guide that lets you explore Google Vertex AI's easy-to-advanced level features for end-to-end ML solution development. Throughout this book, you'll discover how Vertex AI empowers you by providing essential tools for critical tasks, including data management, model building, large-scale experimentations, metadata logging, model deployments, and monitoring. You'll learn how to harness the full potential of Vertex AI for developing and deploying no-code, low-code, or fully customized ML solutions. This book takes a hands-on approach to developing u deploying some real-world ML solutions on Google Cloud, leveraging key technologies such as Vision, NLP, generative AI, and recommendation systems. Additionally, this book covers pre-built and turnkey solution offerings as well as guidance on seamlessly integrating them into your ML workflows.

By the end of this book, you'll have the confidence to develop and deploy large-scale production-grade ML solutions using the MLOps tooling and best practices from Google.

What You Will Learn:

• Understand the ML lifecycle, challenges, and importance of MLOps
• Get started with ML model development quickly using Google Vertex AI
• Manage datasets, artifacts, and experiments
• Develop no-code, low-code, and custom AI solution on Google Cloud
• Implement advanced model optimization techniques and tooling
• Understand pre-built and turnkey AI solution offerings from Google
• Build and deploy custom ML models for real-world applications
• Explore the latest generative AI tools within Vertex AI

Who this book is for:

If you are a machine learning practitioner who wants to learn end-to-end ML solution development on Google Cloud Platform using MLOps best practices and tools offered by Google Vertex AI, this is the book for you.

使用 Google Cloud Vertex AI 實現機器學習流程

主要特點：
- 了解 AI 平台和 MLOps 在機器學習項目中的作用
- 熟悉 Google Vertex AI 工具和服務，加速開發端到端的機器學習解決方案
- 在 Google Cloud 平台上實現視覺、自然語言處理和基於推薦的真實世界機器學習模型
- 購買印刷版或 Kindle 版本的書籍將包含免費的 PDF 電子書

書籍描述：
如今，AI 已成為每個組織的重要組成部分，但開發大規模機器學習解決方案和管理生產中的複雜機器學習工作流程仍然對許多人構成挑戰。Google 的統一數據和 AI 平台 Vertex AI 通過其一系列 MLOps 工具直接應對這些挑戰，旨在進行整體工作流程管理。

本書是一本全面的指南，讓您探索 Google Vertex AI 的易於高級功能，用於端到端的機器學習解決方案開發。在本書中，您將發現 Vertex AI 通過提供關鍵任務的基本工具（包括數據管理、模型構建、大規模實驗、元數據記錄、模型部署和監控）來增強您的能力。您將學習如何充分利用 Vertex AI 開發和部署無代碼、低代碼或完全定制的機器學習解決方案。本書採用實踐方法，通過在 Google Cloud 上開發和部署一些真實世界的機器學習解決方案，利用視覺、自然語言處理、生成式 AI 和推薦系統等關鍵技術。此外，本書還涵蓋了預建和即插即用的解決方案，以及無縫集成到您的機器學習工作流程中的指導。

通過閱讀本書，您將具備使用 Google 提供的 MLOps 工具和最佳實踐開發和部署大規模生產級機器學習解決方案的信心。

學到什麼：
- 了解機器學習生命周期、挑戰和 MLOps 的重要性
- 快速開始使用 Google Vertex AI 進行機器學習模型開發
- 管理數據集、工件和實驗
- 在 Google Cloud 上開發無代碼、低代碼和自定義的 AI 解決方案
- 實施高級模型優化技術和工具
- 了解 Google 提供的預建和即插即用的 AI 解決方案
- 為真實應用程序構建和部署自定義機器學習模型
- 探索 Vertex AI 中最新的生成式 AI 工具

本書適合對象：
如果您是機器學習從業者，希望使用 Google Cloud 平台上 Google Vertex AI 提供的 MLOps 最佳實踐和工具進行端到端的機器學習解決方案開發，那麼這本書就是為您而寫的。