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Introduction to Generative AI - 简体中文

Google Cloud Training

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

Traffic lights

Read about what's good
what should give you pause
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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Reviews summary

生成式ai入门概述

学生们说，这门入门级微课程是了解生成式AI的极佳起点，特别适合对该领域感兴趣的初学者和专业人士。课程内容简洁明了，有效地区分了生成式AI与传统机器学习方法，并介绍了谷歌的相关工具。一些学员指出，尽管课程概念清晰，但对于寻求深入技术细节或编程实践的学员而言，可能需要额外的学习资源。总体而言，该课程因其实用性和易懂性而广受好评。
课程内容设计，使其适合技术和非技术背景的广泛受众。
"我不是技术人员，但课程让我对生成式AI有了清晰的认识，<span class="positive">非常适合非专业人士。"
"这门课不仅对开发者有价值，对产品经理和业务人员也很有启发。"
"无论你是想了解AI新趋势还是想开始学习，这门课都能给你一个<span class="positive">很好的切入点。"
课程时长短，内容精炼，适合快速学习和掌握基础。
"作为一门微课程，它在短时间内提供了大量有价值的信息，<span class="positive">非常节省时间。"
"课程<span class="positive">内容很紧凑，没有废话，非常适合我这种想快速了解新技术的忙碌人士。"
"我能在很短的时间内完成并掌握了生成式AI的基础知识，这门课<span class="positive">效率很高。"
介绍了实用的Google工具，帮助学员理解如何开发应用。
"课程中提到的一些谷歌工具，让我对未来如何构建AI应用有了方向。"
"我喜欢课程能将理论与实际结合，展示了谷歌生态系统中如何应用生成式AI。"
"通过这门课，我对<span class="positive">谷歌云的AI服务有了初步的了解，这对我工作很有帮助。"
课程对生成式AI的核心概念解释清晰，适合初学者。
"这门课程为我打开了生成式AI的大门，解释得非常清楚，让我这个非技术背景的人也能理解。"
"我从中学到了生成式AI的<span class="neutral">核心概念，并且对它能做什么有了全面的认识。"
"我觉得课程的<span class="positive">讲解非常容易懂，对那些想快速入门的人来说简直是福音。"
对于高级学习者，课程深度可能不足，偏重概念介绍。
"课程确实是入门级的，但我期望能有更多的<span class="warning">代码示例和实际项目来深入理解。"
"对于已经有AI基础的人来说，这门课的内容可能<span class="negative">略显简单，更偏向概念介绍。"
"如果能增加一些<span class="warning">动手实验或更复杂的案例分析，课程会更加完善。"

Activities

Be better prepared 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
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

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:
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.
See salaries and explore the career path for AI Engineer
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.
See salaries and explore the career path for AI Researcher
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Machine Learning 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.
See salaries and explore the career path for Natural Language Processing 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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Product Manager
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.
See salaries and explore the career path for Business 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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Marketing 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.
See salaries and explore the career path for Sales 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.
See salaries and explore the career path for Operations 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.
See salaries and explore the career path for Project Manager
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.
See salaries and explore the career path for Quality Assurance Analyst
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.
See salaries and explore the career path for UX Designer

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.
Cover image
Handbook for Strategic HR - Section 4
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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。
Handbook for Strategic HR - Section 4
Paperback
Check
Handbook for Strategic HR - Section 4
Kindle Edition
Check
Cover image
Generative Deep Learning
Save
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。
(English) Generative Deep Learning: Teaching Machines To...
Paperback
$$$
(English) Generative Deep Learning: Teaching Machines to...
Paperback
$$$$
(English) Generative Deep Learning: Teaching Machines To...
Hardcover
$$$$
(Français) Deep learning génératif
Paperback
$$$
(Deutsch) Generatives Deep Learning: Maschinen das Malen,...
Kindle Edition
$$
Generative deep learning(Chinese Edition)
Paperback
$$
Cover image
Dive into Deep Learning
Save
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。
(English) Dive into Deep Learning
Paperback
$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
这是一本机器学习实践指南，重点介绍如何使用 Scikit-Learn、Keras 和 TensorFlow 等机器学习库解决实际问题。本书提供了丰富的案例和代码示例，适合有一定编程基础的读者学习。
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Speech and Language Processing. An Introduction to...
Save
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。
(English) Speech and Language Processing An Introduction to...
Paperback
$$
Pattern Recognition and Machine Learning
Save
这是一本模式识别和机器学习的入门书籍，重点介绍模式识别和机器学习的基础、原理和应用。本书内容全面易懂，适合不同背景的读者学习。
(English) Pattern Recognition and Machine Learning...
Hardcover
$$$
(English) Pattern Recognition and Machine Learning...
Paperback
$$$
(English) Pattern Recognition and Machine Learning (text...
Unknown Binding
$$$$
Cover image
Deep Learning
Save
这是一本深度学习的入门书籍，重点介绍深度学习的基础、原理和应用。本书内容深入浅出，适合不同背景的读者学习。
(English) Deep Learning
Paperback
$$$
(English) Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
(English) Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Reinforcement Learning, second edition
Save
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。
(English) Reinforcement Learning, second edition: An...
Hardcover
$$$
(English) Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Probabilistic Machine Learning
Save
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。
(English) Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$

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Course image
Effort
1 week of study, 6-8 hours
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
中文
Transcript
English
Traffic lights
Read about what's good
what should give you pause
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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