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本課程將介紹 Vertex AI 上的 Generative AI Studio,說明如何用此產品設計生成式 AI 模型的原型及自訂生成式 AI 模型,以利您在應用程式中使用模型的功能。課程中,您可以透過 Generative AI Studio 示範教學逐步認識 Generative AI Studio,並瞭解產品功能、選項與使用方式。課程最後,您可以在實作研究室應用所學,並進行測驗來評估學習成果。

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What's inside

Syllabus

Generative AI Studio 簡介
本課程將介紹 Vertex AI 上的 Generative AI Studio,說明如何用此產品設計生成式 AI 模型的原型及自訂生成式 AI 模型,以利您在應用程式中使用模型的功能。課程中,您可以透過 Generative AI Studio 示範教學逐步認識 Generative AI Studio,並瞭解產品功能、選項與使用方式。課程最後,您可以在實作研究室應用所學,並進行測驗來評估學習成果。

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to Generative AI Studio, which is a crucial skill for leveraging generative AI in real-world projects
Provides learners with the ability to independently utilize Generative AI Studio for their own AI-driven projects
Offers a hands-on approach with interactive materials, making learning more practical
Taught by Google Cloud Training, which has a proven track record in imparting cloud computing knowledge

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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 Studio - 繁體中文 with these activities:
探索 Generative AI Studio 文档
Generative AI Studio 的文档提供了有关其功能和使用方法的宝贵信息。
Show steps
  • 访问 Generative AI Studio 文档网站
  • 通读文档以了解 Generative AI Studio 的主要功能
  • 查看特定主题的文档以了解更多详细信息
创建生成式 AI 模型的原型
动手创建原型将帮助您将 Generative AI Studio 的理论知识应用到实践中。
Show steps
  • 确定要构建的生成式 AI 模型的类型
  • 使用 Generative AI Studio 创建新模型
  • 上传训练数据并训练模型
  • 评估模型的性能并进行必要的调整
练习使用 Generative AI Studio API
熟练使用 Generative AI Studio API 将使您能够自动化任务并更有效地利用该产品。
Show steps
  • 安装 Generative AI Studio API 库
  • 探索 API 文档以了解可用的方法
  • 编写代码以使用 API 执行常见任务
Three other activities
Expand to see all activities and additional details
Show all six activities
参加 Generative AI 社区活动
与其他对生成式 AI 感兴趣的人建立联系,可以帮助您扩展知识并获得新的见解。
Show steps
  • 查找并参加当地或在线的生成式 AI 聚会
  • 与其他参与者交谈并分享您的经验
  • 加入在线社区或论坛以继续参与讨论
指导其他学习 Generative AI Studio 的人
通过辅导他人,您可以巩固自己的知识并加深对 Generative AI Studio 的理解。
Show steps
  • 确定您想指导的人,例如朋友、同事或在线社区成员
  • 安排定期会议或辅导课程
  • 提供支持、指导和反馈,以帮助他们学习 Generative AI Studio
编译生成式 AI 资源
创建一个包含有用资源的集合,可以帮助您在课程之外继续学习生成式 AI。
Show steps
  • 收集与生成式 AI 相关的文章、教程和文档
  • 将资源组织到不同的类别或主题中
  • 创建在线文档或存储库以与他人分享您的集合

Career center

Learners who complete Introduction to Generative AI Studio - 繁體中文 will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and develop AI models and systems. This course can help teach you how to apply generative AI models to build new applications.
Data Scientist
Data Scientists use data to build data-driven applications and models. This course can help build a foundation on which to learn how to use generative AI models with data.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. This course can teach you how to use Generative AI Studio to build and customize generative AI models.
AI Researcher
AI Researchers develop new AI technologies and techniques. This course can teach you how to use Generative AI Studio to develop new generative AI models and techniques.
Data Analyst
Data Analysts use data to solve business problems. This course can teach you how to use Generative AI Studio to use data to solve business problems with generative AI models.
Project Manager
Project Managers plan, execute, and close projects. This course can teach you how to use Generative AI Studio to plan, execute, and close projects that involve generative AI.
Product Manager
Product Managers are responsible for the development and success of products. This course can teach you how to use Generative AI Studio to develop and improve AI-powered products.
Quantitative Analyst
Quantitative Analysts use mathematics and statistics to solve financial problems. This course can teach you how to use Generative AI Studio to use mathematics and statistics to solve financial problems with generative AI.
Systems Analyst
Systems Analysts analyze and design information systems. This course can teach you how to use Generative AI Studio to analyze and design information systems that use generative AI.
Compliance Analyst
Compliance Analysts ensure that organizations comply with laws and regulations. This course can teach you how to use Generative AI Studio to ensure that organizations comply with laws and regulations with generative AI.
Fraud Analyst
Fraud Analysts investigate and prevent fraud. This course can teach you how to use Generative AI Studio to investigate and prevent fraud with generative AI.
Risk Analyst
Risk Analysts identify and assess risks. This course can teach you how to use Generative AI Studio to identify and assess risks with generative AI.
Business Analyst
Business Analysts analyze business processes and requirements. This course can teach you how to use Generative AI Studio to analyze business processes and requirements for AI-powered applications.
Data Architect
Data Architects design and build data architectures. This course can teach you how to use Generative AI Studio to design data architectures for AI-powered applications.
Software Engineer
Software Engineers build and maintain the software applications that businesses use. This course can teach you how to use Generative AI Studio to create software applications that include generative AI models.

Reading list

We've selected seven 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 Studio - 繁體中文.
Provides a comprehensive overview of deep learning, with a focus on the mathematical foundations of deep learning. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of computer vision, with a focus on the algorithms and applications of computer vision. It covers a wide range of topics, including image processing, object detection, and image recognition.
Provides a comprehensive overview of speech and language processing, with a focus on the practical aspects of speech and language processing. It covers a wide range of topics, including speech recognition, natural language processing, and machine translation.
Provides a gentle introduction to machine learning, with a focus on the practical aspects of machine learning. It covers a wide range of topics, including data preprocessing, model selection, and model evaluation.
Provides a comprehensive overview of speech and language processing with Python, with a focus on the practical aspects of speech and language processing with Python. It covers a wide range of topics, including speech recognition, natural language processing, and machine translation.

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