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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
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What's inside
Syllabus
生成式 AI 简介
这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces foundational concepts of Generative AI, making it a suitable course for beginners
Offered by Google Cloud Training, which is recognized for its expertise in AI and machine learning
Provides practical guidance on developing Generative AI applications using Google tools
Covers the latest trends and applications in Generative AI, keeping learners up-to-date on industry advancements
May require prior knowledge or experience in machine learning to fully grasp certain concepts
Does not provide comprehensive training for advanced Generative AI development
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Activities
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before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Generative AI - 简体中文 with these
activities:
使用 Google Cloud Platform 开发生成式 AI 应用程序
Show steps
通过遵循循序渐进的教程，提高您对使用 Google Cloud Platform 开发生成式 AI 应用程序的实践技能。
Browse courses on
Google Cloud Platform
Show steps
-
在 Google Cloud Platform 上注册一个免费帐户。
-
完成 Google Cloud Platform 上的生成式 AI 教程。
-
在您的项目中创建和管理 Google Cloud Platform 资源。
-
将您的生成式 AI 应用程序部署到 Google Cloud Platform。
Show all one activities
使用 Google Cloud Platform 开发生成式 AI 应用程序
Show steps
通过遵循循序渐进的教程，提高您对使用 Google Cloud Platform 开发生成式 AI 应用程序的实践技能。
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- 在 Google Cloud Platform 上注册一个免费帐户。
- 完成 Google Cloud Platform 上的生成式 AI 教程。
- 在您的项目中创建和管理 Google Cloud Platform 资源。
- 将您的生成式 AI 应用程序部署到 Google Cloud Platform。
Show all one activities
Career center
Learners who complete Introduction to Generative AI - 简体中文 will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning (ML) systems and applications. They may also create the computer systems that these programs will run on. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Data Scientist
Data Scientist
A Data Scientist collects, analyzes, and interprets data to find trends and patterns that can be used to make better decisions. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They may also create the computer systems that these programs will run on. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
AI Researcher
AI Researcher
An AI Researcher conducts research on artificial intelligence (AI) and develops new AI algorithms and techniques. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer designs, develops, and maintains natural language processing (NLP) systems and applications. They may also create the computer systems that these programs will run on. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and maintains artificial intelligence (AI) systems as well as software and applications. They may also create the computer systems that these programs will run on. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Product Manager
Product Manager
A Product Manager plans, develops, and launches new products or features for a company. They may also work with engineers and designers to create the product and ensure that it meets the needs of customers. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests and evaluates software applications to ensure that they meet quality standards. They may also work with developers to identify and fix bugs. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to find trends and patterns that can be used to make better decisions. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Project Manager
Project Manager
A Project Manager plans, organizes, and manages projects to ensure that they are completed on time, within budget, and according to specifications. They may also work with stakeholders to gather requirements and ensure that the project meets the needs of the stakeholders. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Sales Manager
Sales Manager
A Sales Manager leads and manages a sales team to achieve sales goals. They may also develop and implement sales strategies. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Business Analyst
Business Analyst
A Business Analyst identifies and analyzes business needs and develops solutions to improve business processes. They may also work with stakeholders to gather requirements and ensure that the solution meets the needs of the business. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns to promote a company's products or services. They may also work with other departments to develop and implement marketing strategies. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
Operations Manager
Operations Manager
An Operations Manager plans, organizes, and manages the day-to-day operations of a company. They may also work with other departments to ensure that the company is running smoothly and efficiently. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
UX Designer
UX Designer
A UX Designer designs and evaluates user interfaces (UIs) to ensure that they are user-friendly and efficient. They may also work with other departments to develop and implement UX strategies. This course may be useful for someone in this role, as it provides an introduction to generative AI, including how to develop generative AI applications with Google tools.
For more career information including salaries, visit:
OpenCourser.com/course/jff9ym/introduction
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Generative AI - 简体中文.
这是一本生成式人工智能实践指南，重点介绍如何使用生成式人工智能技术解决实际问题。本书提供了丰富的案例和代码示例，适合有一定编程基础的读者学习。
这是一本生成式深度学习的入门书籍，重点介绍生成式对抗网络（GAN）和变分自编码器（VAE）等生成式深度学习模型。本书内容丰富，适合有一定机器学习基础的读者学习。
这是一本深度学习入门书籍，涵盖了深度学习的基础、原理、算法和应用。本书内容全面易懂，适合不同背景的读者学习。
这是一本机器学习实践指南，重点介绍如何使用 Scikit-Learn、Keras 和 TensorFlow 等机器学习库解决实际问题。本书提供了丰富的案例和代码示例，适合有一定编程基础的读者学习。
这是一本语音和语言处理的入门书籍，重点介绍语音和语言处理的基础、原理和应用。本书内容全面易懂，适合不同背景的读者学习。
这是一本模式识别和机器学习的入门书籍，重点介绍模式识别和机器学习的基础、原理和应用。本书内容全面易懂，适合不同背景的读者学习。
Save
这是一本深度学习的入门书籍，重点介绍深度学习的基础、原理和应用。本书内容深入浅出，适合不同背景的读者学习。
这是一本强化学习的入门书籍，重点介绍强化学习的基础、原理和应用。本书内容深入浅出，适合不同背景的读者学习。
这是一本生成模型的入门书籍，重点介绍生成模型的基础、原理和应用。本书内容深入浅出，适合有一定机器学习基础的读者学习。
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jff9ym/introduction
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Effort
1 week of study, 6-8 hours
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
中文
Transcript
English
Good to know
Introduces foundational concepts of Generative AI, making it a suitable course for beginners
Offered by Google Cloud Training, which is recognized for its expertise in AI and machine learning
Provides practical guidance on developing Generative AI applications using Google tools
Covers the latest trends and applications in Generative AI, keeping learners up-to-date on industry advancements
May require prior knowledge or experience in machine learning to fully grasp certain concepts
Does not provide comprehensive training for advanced Generative AI development
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