Generative AI Fundamentals - Mandarin Chinese

生成式 AI 已从新兴实验转变为企业必备能力，为从智能客户支持到自动执行复杂工作流的 AI Agent 等各类应用提供支撑。

那些懂得如何有效部署生成式 AI——立足于自身数据并施以可信治理——的组织，将成为各自行业中引领节奏的领跑者。但随着新模型每周发布、能力快速演进，懂得如何战略性地评估和应用生成式 AI，比一味追逐最新版本更为重要。通过这门免费的按需培训，快速掌握生成式 AI 的基础知识——它能做什么、在哪些方面带来真正的业务价值，以及如何在 Databricks 上安全地实施它。

Skill Level

Introductory

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Prerequisites

本内容面向具备以下技能/知识/能力的学员而开发：

Databricks 基础

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A concept-level course based on The Data Lakehouse For Dummies. It moves learners from "not sure what a lakehouse is" to being able to hold a working conversation about lakehouse architecture and the technologies behind it: the limitations of legacy architectures, what the lakehouse is, its core technologies, and how it enables data intelligence and unified workloads on Databricks.

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Get Started with SQL Analytics and BI on Databricks

This course introduces the Databricks Data Intelligence Platform and the core skills a data analyst needs for day-to-day SQL analytics and BI work. You'll navigate the workspace and Unity Catalog, write SQL queries against governed Delta tables from a Serverless SQL Warehouse, use Genie Code to generate and debug SQL, work with Delta Lake (DML, version history, time travel, and restore), build and publish AI/BI Dashboards, and create Genie Spaces for conversational analytics. Each topic pairs a guided Demo notebook with a hands-on Lab.

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