We may earn an affiliate commission when you visit our partners.
Google Cloud Training
本课程介绍 Vertex AI Vector Search，并说明如何使用它来通过嵌入大语言模型 (LLM) API 构建搜索应用。本课程包括以下内容：讲解矢量搜索和文本嵌入概念的讲座、关于如何在 Vertex AI 上构建矢量搜索的实际演示，以及一项实操实验。
Register for this course and see more details by visiting:
OpenCourser.com/course/1v70sd/vector
Here's a deal for you
Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Get offer
What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
该课程由Google Cloud Training讲授，他们以在云计算领域的工作而闻名。
本课程融合了文本嵌入、矢量搜索和 LLM 技术，适合具有良好机器学习和 NLP 背景的技术人员和开发人员。
本课程提供动手实验，这对于实践和巩固所学知识至关重要。
通过整合 LLM API，该课程展示了如何利用最新的大语言模型的强大功能。
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
向量搜索与嵌入实践入门
根据学员反馈，本课程在向量搜索和嵌入领域提供了清晰且实用的入门指导，尤其侧重于Vertex AI平台上的实际应用。学员普遍认为课程的讲解深入浅出，能够帮助不同背景的学习者快速理解复杂概念。动手实验和实际演示是课程的核心优势，学员通过这些实践环节，能够将理论知识转化为实际操作技能，有效提升在Google Cloud上构建搜索应用的能力。许多学员表示，本课程非常适合初次接触向量搜索或Vertex AI的专业人士，因为它提供了扎实的基础和实用的操作步骤。然而，一些拥有更多背景知识的学员指出，课程的深度可能有限，未能充分探讨高级主题或优化策略。此外，个别评论提到了实验室环境的稳定性问题，这可能偶尔阻碍学习流程。尽管如此，绝大多数反馈都积极正面，课程被认为能够有效帮助学员掌握当前热门的AI技术。
课程对核心概念讲解得通俗易懂。
"本课程让我对向量搜索有了全面的认识。"
"这个课程对向量搜索和嵌入的讲解非常清晰..."
"课程涵盖了LLM API和向量搜索的核心概念，讲解通俗易懂，即使是非AI背景的开发者也能理解。"
提供了Vertex AI的实际操作和动手实验。
"特别是Vertex AI的实践部分，让我能够很快上手构建应用。实验也很棒，提供了实战经验。"
"我觉得演示和实验是课程的亮点。"
"我在课程中学会了如何在Google Cloud上实现向量搜索。"
部分学员反映实验环境存在技术障碍。
"概念讲得还行，但实验室环境有点小问题，耽误了一些时间。"
"我觉得实验室环境不太流畅。"
"我在实验过程中确实遇到了几次环境配置上的小麻烦。"
对于进阶学员而言，内容深度可能不够。
"内容很基础，对于新手来说是很好的入门。但我希望在深度和性能优化方面能有更多探讨。"
"我觉得对于已经有基础的人来说，内容可能偏浅。"
"内容太简单了，没有学到太多新东西。我希望讲师能再深入一些，比如不同的嵌入模型选择和它们的优缺点。"
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 Vector Search and Embeddings - 简体中文 with these
activities:
Revisit the fundamentals
Show steps
Review the key concepts of vector search and text embedding to prepare for the course.
Browse courses on
Vector Search
Show steps
-
Read an overview of vector search and text embedding
-
Review the concepts of vector space models and cosine similarity
-
Complete practice exercises on vector search and text embedding
Solve practice problems
Show steps
Solve practice problems to improve your understanding of vector search and text embedding.
Browse courses on
Vector Search
Show steps
-
Find a set of practice problems related to vector search or text embedding
-
Attempt to solve the problems on your own
-
Review the solutions and identify areas for improvement
-
Repeat until you can confidently solve most of the problems
Join a study group
Show steps
Join a study group to collaborate with other students, discuss the course material, and learn from each other.
Show steps
-
Find a study group or create your own
-
Meet regularly to discuss the course material
-
Share resources and insights with each other
-
Support and motivate each other through the learning journey
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow a tutorial on Vertex AI Vector Search
Show steps
Follow a step-by-step tutorial to set up and use Vertex AI Vector Search for your application.
Show steps
-
Find a tutorial on Vertex AI Vector Search
-
Follow the tutorial to set up Vertex AI Vector Search
-
Experiment with different parameters and options
-
Deploy a vector search application using Vertex AI Vector Search
Contribute to an open-source project
Show steps
Contribute to an open-source project to gain experience with real-world applications of vector search and text embedding.
Browse courses on
Open-Source
Show steps
-
Find an open-source project related to vector search or text embedding
-
Review the project documentation and codebase
-
Identify an area where you can contribute
-
Submit a pull request with your contribution
Volunteer in a related field
Show steps
Volunteer your skills to a non-profit or open-source project related to natural language processing or machine learning.
Browse courses on
Natural Language Processing
Show steps
-
Find a volunteer opportunity in a related field
-
Contribute your skills and knowledge to the project
-
Learn from experienced professionals
-
Gain practical experience and build your resume
Write a blog post or article
Show steps
Create a blog post or article to share your knowledge and insights on vector search and text embedding.
Browse courses on
Vector Search
Show steps
-
Choose a topic related to vector search or text embedding
-
Research and gather information on the topic
-
Organize your thoughts and ideas into an outline
-
Write your blog post or article
-
Share your blog post or article with others
Revisit the fundamentals
Show steps
Review the key concepts of vector search and text embedding to prepare for the course.
Browse courses on
Vector Search
Show steps
Show steps
Show steps
- Read an overview of vector search and text embedding
- Review the concepts of vector space models and cosine similarity
- Complete practice exercises on vector search and text embedding
Solve practice problems
Show steps
Solve practice problems to improve your understanding of vector search and text embedding.
Browse courses on
Vector Search
Show steps
Show steps
Show steps
- Find a set of practice problems related to vector search or text embedding
- Attempt to solve the problems on your own
- Review the solutions and identify areas for improvement
- Repeat until you can confidently solve most of the problems
Join a study group
Show steps
Join a study group to collaborate with other students, discuss the course material, and learn from each other.
Show steps
Show steps
Show steps
- Find a study group or create your own
- Meet regularly to discuss the course material
- Share resources and insights with each other
- Support and motivate each other through the learning journey
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow a tutorial on Vertex AI Vector Search
Show steps
Follow a step-by-step tutorial to set up and use Vertex AI Vector Search for your application.
Show steps
Show steps
Show steps
- Find a tutorial on Vertex AI Vector Search
- Follow the tutorial to set up Vertex AI Vector Search
- Experiment with different parameters and options
- Deploy a vector search application using Vertex AI Vector Search
Contribute to an open-source project
Show steps
Contribute to an open-source project to gain experience with real-world applications of vector search and text embedding.
Browse courses on
Open-Source
Show steps
Show steps
Show steps
- Find an open-source project related to vector search or text embedding
- Review the project documentation and codebase
- Identify an area where you can contribute
- Submit a pull request with your contribution
Volunteer in a related field
Show steps
Volunteer your skills to a non-profit or open-source project related to natural language processing or machine learning.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Find a volunteer opportunity in a related field
- Contribute your skills and knowledge to the project
- Learn from experienced professionals
- Gain practical experience and build your resume
Write a blog post or article
Show steps
Create a blog post or article to share your knowledge and insights on vector search and text embedding.
Browse courses on
Vector Search
Show steps
Show steps
Show steps
- Choose a topic related to vector search or text embedding
- Research and gather information on the topic
- Organize your thoughts and ideas into an outline
- Write your blog post or article
- Share your blog post or article with others
Career center
Learners who complete Vector Search and Embeddings - 简体中文 will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/1v70sd/vector
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1v70sd/vector
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser