When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

生成式 AI：剖析基本概念

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生成式 AI：剖析基本概念

This course is part of Generative AI Leader Specialization

Instructor: Google Cloud Training

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

2 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

定义并描述生成式 AI 的核心概念。
介绍如何在生成式 AI 中使用各种数据类型来解决业务问题、推动创新并获得竞争优势。
介绍基础模型在生成式 AI 中的角色，包括其功能和局限性。
介绍 Google Cloud 推荐的应对 LLM 局限性的策略。

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Generative AI Leader Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

“生成式 AI：剖析基本概念”是生成式 AI 领导者学习路线的第二门课程。在本课程中，您将探索 AI、机器学习和生成式 AI 之间的差异，了解各种数据类型如何赋能生成式 AI 来应对业务挑战，从而了解生成式 AI 的基本概念。您还将深入了解 Google Cloud 应对基础模型局限性的策略，以及负责任和安全的 AI 开发与部署面临哪些关键挑战。

本单元介绍生成式 AI 的关键概念及其差异，重点讨论数据与 AI 模型性能之间的关系。此外，它还介绍了不同的机器学习类型，并提供了每种类型的 Google Cloud 应用场景。

What's included

1 assignment5 plugins

本单元介绍如何在生成式 AI 中利用各种数据类型来促进创新、解决业务问题并建立竞争优势。

What's included

1 assignment3 plugins

本单元介绍了基础模型在生成式 AI 中的作用，以及它们的潜力和局限性。

What's included

1 assignment2 plugins

本单元提供课程回顾资源。

What's included

1 reading

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Instructor

Google Cloud Training

Google Cloud

2,110 Courses 4,008,556 learners

Offered by

Google Cloud

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.