Databricks Certified Generative AI Engineer Associate Study Guide: Generative AI with Databricks
暫譯: Databricks 認證生成式 AI 工程師助理學習指南：使用 Databricks 的生成式 AI
Kaushikk, Rajaniesh
商品描述
As generative AI becomes central to modern data and machine learning workflows, earning the Databricks Certified Generative AI Engineer Associate certification signals both credibility and technical fluency. This study guide prepares you for this sought-after certification with comprehensive coverage of core GenAI and LLM concepts, practical data management using Delta Lake, and retrieval-augmented generation (RAG) application workflows on the Databricks platform.
Written by AI expert Rajaniesh Kaushikk, this book combines hands-on labs, real-world examples, and exam-aligned content to help you build and deploy effective GenAI applications. From prompt engineering and RAG-based solutions to model governance with Unity Catalog, MLflow tracking, and leveraging Hugging Face models in GenAI workflows, this guide supports both your certification journey and real-world AI development.
- Understand the fundamentals of generative AI, LLMs, and vector databases
- Prepare and manage large-scale data using Delta Lake and the data lakehouse
- Build and deploy generative AI models with Databricks and MLflow
- Explore RAG for enhanced model performance
- Implement responsible AI practices and model governance with Unity Catalog
商品描述(中文翻譯)
隨著生成式人工智慧成為現代數據和機器學習工作流程的核心，獲得 Databricks 認證生成式人工智慧工程師助理證書不僅象徵著可信度，還顯示出技術流利度。本學習指南為您準備這項備受追捧的證書，全面涵蓋核心的生成式人工智慧（GenAI）和大型語言模型（LLM）概念、使用 Delta Lake 的實務數據管理，以及在 Databricks 平台上進行檢索增強生成（RAG）應用工作流程。
本書由人工智慧專家 Rajaniesh Kaushikk 撰寫，結合了實作實驗室、真實案例和與考試對應的內容，幫助您建立和部署有效的生成式人工智慧應用。從提示工程和基於 RAG 的解決方案，到使用 Unity Catalog 進行模型治理、MLflow 追蹤，以及在生成式人工智慧工作流程中利用 Hugging Face 模型，本指南支持您的證書之旅和現實世界的人工智慧開發。
- 了解生成式人工智慧、LLM 和向量數據庫的基本原理
- 使用 Delta Lake 和數據湖屋準備和管理大規模數據
- 使用 Databricks 和 MLflow 建立和部署生成式人工智慧模型
- 探索 RAG 以提升模型性能
- 實施負責任的人工智慧實踐和使用 Unity Catalog 進行模型治理
