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Introduction to Generative AI - 繁體中文

Google Cloud Training

這個入門微學習課程主要說明生成式 AI 的定義和使用方式,以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具,協助您開發自己的生成式 AI 應用程式。

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Syllabus

生成式 AI 簡介
這個入門微學習課程主要說明生成式 AI 的定義和使用方式,以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具,協助您開發自己的生成式 AI 應用程式。

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
這個入門微學課程主要說明生成式 AI 的定義和使用方式,以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具,協助您開發自己的生成式 AI 應用程式
Google Cloud Training

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Career center

Learners who complete Introduction to Generative AI - 繁體中文 will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Generative AI is expected to play a major role in the future of machine learning and artificial intelligence. As a **Machine Learning Engineer**, taking this course will help you gain the skills and knowledge you need to build your career in this important area. This course will provide you with a solid foundation in the use of generative AI models and techniques.
Artificial Intelligence Engineer
Generative AI is a rapidly growing field, and there is a growing demand for **Artificial Intelligence Engineers** with expertise in this area. This course will provide you with a comprehensive overview of generative AI, and it will teach you how to use Google tools to develop your own generative AI applications.
Data Scientist
As a **Data Scientist**, your role may involve using generative AI to create synthetic datasets or generating new features for machine learning models. This course on generative AI will provide you with a firm foundation in the use of Google tools in the development of generative AI applications. Take this course to provide yourself with a competitive edge in the job market.
Software Engineer
Understanding and having working knowledge of generative AI is a boon for a **Software Engineer**. Generative AI is a rapidly growing field, so taking this course may allow you to explore its possibilities and use it to create new and innovative software applications. This course will provide you with a solid foundation for developing your own generative AI applications using Google tools.
Financial Analyst
As a **Financial Analyst**, you will analyze financial data to make recommendations to clients. Generative AI can be used to generate new data and to improve the accuracy of models. This course will provide you with a solid foundation in the use of generative AI in financial analysis.
Data Analyst
As a **Data Analyst**, you will collect, analyze, and interpret data to help organizations make informed decisions. Generative AI can be used to generate new data and features, and to improve the accuracy of machine learning models. This course will provide you with a solid foundation in the use of generative AI in data analysis.
Quantitative Analyst
As a **Quantitative Analyst**, you will develop and use mathematical and statistical models to analyze data. Generative AI can be used to generate new data and to improve the accuracy of models. This course will provide you with a solid foundation in the use of generative AI in quantitative analysis.
Actuary
As an **Actuary**, you will use mathematical and statistical methods to assess risk and uncertainty. Generative AI can be used to generate new data and to improve the accuracy of models. This course will provide you with a solid foundation in the use of generative AI in actuarial science.
Insurance Underwriter
As an **Insurance Underwriter**, you will assess risk and determine the appropriate insurance premiums. Generative AI can be used to generate new data and to improve the accuracy of models. This course will provide you with a solid foundation in the use of generative AI in insurance underwriting.
Compliance Officer
As a **Compliance Officer**, you will ensure that a company is operating in accordance with the law. Generative AI can be used to generate new data and to improve the accuracy of models. This course will provide you with a solid foundation in the use of generative AI in compliance.
Risk Manager
As a **Risk Manager**, you will identify, assess, and manage risks. Generative AI can be used to generate new data and to improve the accuracy of models. This course will provide you with a solid foundation in the use of generative AI in risk management.
Product Manager
In the role of **Product Manager**, you need to stay abreast of new technologies and trends in order to develop successful products. Generative AI is increasingly being used to create new products and services, so taking this course will provide you with the knowledge you need to stay ahead of the curve.
Business Analyst
As a **Business Analyst**, you will help organizations to identify and solve problems. Generative AI can be used to generate new ideas and solutions, so taking this course will increase your skillset. This course on generative AI, offered by Google Cloud, may help you develop a foundation in the use of AI tools and technology to solve business problems.
Consultant
In the role of **Consultant**, you help clients to solve problems and improve their operations. Generative AI is a powerful tool that can be used to solve a variety of problems, so taking this course will give you the knowledge and skills you need to succeed in this field. This course may be particularly helpful for those who wish to specialize in technology consulting.
Marketing Manager
When you are a **Marketing Manager**, you will often need to use technology to carry out your day to day functions. Any exposure to AI and machine learning technology can increase your chances of promotion. This is a field that is constantly advancing, so you need to stay informed. Taking this course on generative AI may help you develop any potential gaps in knowledge that you have.

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 - 繁體中文.
一本統計學習的經典教科書,全面介紹了統計學習的原理、技術和應用。對於想要深入了解生成式人工智能的統計基礎,這是一本非常好的選擇。
一本專門介紹機器學習的數學基礎的書籍,深入探討了線性代數、微積分、概率論等數學知識在機器學習中的應用。對於想要深入了解生成式人工智能的數學基礎,這是一本非常好的選擇。
一本模式識別和機器學習的經典教科書,全面介紹了模式識別和機器學習的原理、技術和應用。對於想要深入了解生成式人工智能的數學基礎,這是一本非常好的選擇。
一本專門介紹生成對抗網絡(GAN)的書籍,深入探討了 GAN 的原理、技術和應用。對於想要了解生成式人工智能在圖像生成、文本生成等領域的應用,這是一本非常好的選擇。
一本計算機視覺的經典教科書,全面介紹了計算機視覺的原理、技術和應用。對於想要了解生成式人工智能在計算機視覺領域的應用,這是一本非常好的選擇。
一本強化學習的經典教科書,全面介紹了強化學習的原理、技術和應用。對於想要了解生成式人工智能在強化學習領域的應用,這是一本非常好的選擇。
一本語音和語言處理的經典教科書,全面介紹了語音和語言處理的原理、技術和應用。對於想要了解生成式人工智能在自然語言處理領域的應用,這是一本非常好的選擇。
一本經典的深度學習教科書,全面介紹了深度學習的原理、技術和應用。對於想要深入了解深度學習技術的讀者來說,這是一本非常好的選擇。
一本簡明扼要的機器學習入門書籍,適合沒有機器學習背景的讀者。對於想要快速了解生成式人工智能的基礎知識,這是一本非常好的選擇。

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