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Introduction to Generative AI - 日本語版

Google Cloud Training

この入門レベルのマイクロラーニングコースでは、ジェネレーティブ AI の概要、利用方法、従来の機械学習の手法との違いについて説明します。独自のジェネレーティブ AI アプリを作成する際に利用できる Google ツールも紹介します。

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

This course assists learners in creating their own generative AI apps

By teaching the fundamentals of generative AI, this course provides a strong foundation for beginners

This is an introductory level course

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Reviews summary

ジェネレーティブaiの基礎とgoogleツール入門

学習者によると、この「ジェネレーティブAI - 日本語版」コースは、ジェネレーティブAIの概念を初心者でも非常に分かりやすく解説しており、しっかりとした基礎を築くのに最適です。特に、専門用語が丁寧に説明されており、AIの知識が全くない方でも安心して学習を進められます。また、Googleのツール紹介が実践的であり、実際のユースケースに触れられる点が高く評価されています。マイクロラーニング形式でコンパクトにまとめられているため、隙間時間で効率的に学べるとの声も多数あります。一方で、AIの基礎知識がある学習者には内容が浅いと感じられる場合があり、より深い知識や実践的なコーディングを期待すると物足りなさを感じるかもしれません。全体としては、生成AIへの優れた入門として広く推奨されています。

マイクロラーニング形式で隙間時間に学習可能。

"マイクロラーニングという形式で、短時間で効率よくジェネレーティブAIの全体像を掴むことができました。"

"コンパクトにまとめられていて、隙間時間で学べたのが良かったです。"

"効率よく学べ、忙しい日常の中でも無理なく続けることができました。"

実際のGoogleツールとユースケースを実践的に紹介。

"Googleのツール紹介も実践的で、すぐに試せる内容でした。"

"生成AIの基本概念から実際のGoogleツールへの接続まで、スムーズな流れで学べました。特に具体的なユースケースが紹介されている点が参考になりました。"

"Google Cloudの関連サービスに触れることができたのも、今後の学習の指針になります。"

AI初心者でも安心して学べる丁寧な解説。

"ジェネレーティブAIの基本を非常に分かりやすく解説してくれています。専門用語も丁寧に説明されているので、初心者でも安心して学べました。"

"AIについて漠然とした知識しかなかった私でも、このコースでジェネレーティブAIの概念と可能性がはっきりと理解できました。"

"AI初心者にとって最適な内容で、用語の解説や概念の説明が非常に丁寧でした。"

基礎は固まるが、より深い学習には物足りない。

"AIの基礎知識がある人には物足りないかもしれません。本当に初歩の初歩という感じで、より実践的なコーディングやモデル構築を期待していると肩透かしを食らいます。"

"非常に分かりやすいのですが、内容が浅いと感じました。専門性を高めたい人には向きません。"

"入門向けですが、しっかりとした基礎が身につきます。欲を言えば、もう少し深い応用例があるとさらに良かったです。"

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 - 日本語版 with these activities:

Review introductory AI concepts

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Refreshes the student on fundamental AI concepts in preparation for the course

Browse courses on AI Fundamentals

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Review online resources, such as articles, videos, and tutorials, covering introductory AI concepts.
Attend online workshops or webinars on AI basics.

Seek mentorship from experts in generative AI

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Provides access to valuable guidance and networking opportunities

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Identify professionals in the field of generative AI who could serve as mentors.
Contact them via email or LinkedIn, expressing your interest in mentorship and outlining your goals.
Arrange regular meetings or communication channels to receive guidance and support.

Follow online tutorials on generative AI tools

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Provides hands-on experience in using generative AI tools from Google

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Identify online tutorials that cover the use of generative AI tools offered by Google.
Follow the tutorials step-by-step, experimenting with the tools and exploring their capabilities.
Apply the tools to create your own generative AI projects.

Five other activities

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Solve AI-related coding problems

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Provides hands-on practice in applying AI techniques and algorithms

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Find online coding platforms or websites that offer AI-related coding challenges.
Choose problems that align with the topics covered in the course.
Attempt to solve the problems independently, and refer to course materials or online resources for assistance when needed.
Review solutions and explanations to reinforce understanding.

Join a study group to discuss generative AI topics

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Facilitates collaboration and knowledge sharing among students

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Find or create a study group with peers taking the same course.
Schedule regular group meetings to discuss course concepts, share resources, and work on problems together.

Compile resources on generative AI applications

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Helps students stay organized and easily access relevant information

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Gather resources such as articles, white papers, tutorials, and code samples related to generative AI applications.
Organize the resources into a central location, such as a shared folder or a collaborative document.
Periodically review and update the compilation to include the latest developments in the field.

Build a simple AI application

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Allows the student to apply AI concepts and techniques in a practical context

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Identify a specific problem or task that can be solved using AI.
Choose appropriate AI techniques and algorithms for the task.
Implement the AI solution using a programming language.
Test and evaluate the performance of the application.
Share the application with classmates or other online communities for feedback.

Contribute to open-source generative AI projects

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Provides practical experience and exposure to real-world generative AI applications

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Identify open-source generative AI projects that align with your interests.
Review the project documentation and contribute to discussions on issue trackers or forums.
Submit bug reports or feature requests to improve the project.
Optionally, contribute code or documentation to the project.

Career center

Learners who complete Introduction to Generative AI - 日本語版 will develop knowledge and skills that may be useful to these careers:

AI Engineer

An AI Engineer applies their expertise in machine learning and other areas of data science to build AI applications and services. This course may be helpful to an AI Engineer by providing a basic understanding of how generative AI can be employed in the development of AI powered products and services.

See salaries and explore the career path for AI Engineer

Machine Learning Scientist

A Machine Learning Scientist designs and builds machine learning models that solve business problems. This course may be helpful to a Machine Learning Scientist by demonstrating how generative AI can be a useful tool in developing and deploying machine learning models.

See salaries and explore the career path for Machine Learning Scientist

Data Scientist

A Data Scientist uses their knowledge of data, statistics, and machine learning to solve business problems and gain valuable insights from data. This course may be helpful to a Data Scientist by providing an introduction to generative AI, and how to use it in the context of data analysis and machine learning.

See salaries and explore the career path for Data Scientist

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course may be helpful to a Software Engineer who wants to learn how to use generative AI in the software development process.

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Product Manager

A Product Manager is responsible for the development and launch of new products and features. This course may be helpful to a Product Manager by providing an understanding of how generative AI can be used to create new and innovative products and features.

See salaries and explore the career path for Product Manager

Business Analyst

A Business Analyst works with stakeholders to define and analyze business needs. This course may be helpful to a Business Analyst who wants to learn how to use generative AI to identify and analyze business needs.

See salaries and explore the career path for Business Analyst

Project Manager

A Project Manager plans, executes, and closes projects. This course may be helpful to a Project Manager who wants to learn how to use generative AI to improve project planning and execution.

See salaries and explore the career path for Project Manager

Data Analyst

A Data Analyst transforms raw data into meaningful insights. This course may be helpful to a Data Analyst by providing an introduction to generative AI, and how to use it to improve data analysis.

See salaries and explore the career path for Data Analyst

IT Manager

An IT Manager plans and executes the IT strategy of an organization. This course may be helpful to an IT Manager who wants to learn how to use generative AI to improve the IT infrastructure.

See salaries and explore the career path for IT Manager

Data Engineer

A Data Engineer designs and builds data pipelines that collect, store, and process data. This course may be helpful to a Data Engineer who wants to learn how to use generative AI to improve data pipelines.

See salaries and explore the career path for Data Engineer

UX Designer

A UX Designer creates user interfaces for websites and applications. This course may be helpful to a UX Designer who wants to learn how to use generative AI to improve the user experience of websites and applications.

See salaries and explore the career path for UX Designer

Technical Writer

A Technical Writer creates documentation for software and other technical products. This course may be helpful to a Technical Writer who wants to learn how to use generative AI to improve the quality of documentation.

See salaries and explore the career path for Technical Writer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data. This course may be helpful to a Quantitative Analyst who wants to learn how to use generative AI to improve financial analysis.

See salaries and explore the career path for Quantitative Analyst

Consultant

A Consultant provides advice and expertise to clients on a variety of business issues. This course may be helpful to a Consultant who wants to learn how to use generative AI to improve the quality of advice and expertise they provide to clients.

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Teacher

A Teacher educates students in a variety of subjects. This course may be helpful to a Teacher who wants to learn how to use generative AI to improve the quality of education they provide to students.

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Reading list

We've selected six 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 - 日本語版.