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Google Cloud Big Data and Machine Learning Fundamentals 日本語版

このコースでは、データから AI へのライフサイクルをサポートする Google Cloud のビッグデータと ML のプロダクトやサービスを紹介します。また、Google Cloud で Vertex AI を使用してビッグデータパイプラインと ML モデルを作成する際のプロセス、課題、メリットについて説明します。

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Syllabus

コース概要

このセクションでは、Big Data and Machine Learning Fundamentals コースの受講者向けにコースの構成と目標をおおまかに説明します。

Google Cloud でのビッグデータと ML

このセクションでは、Google Cloud のインフラストラクチャの主要コンポーネントについて説明します。Google Cloud におけるデータから AI へのライフサイクルをサポートする、ビッグデータと ML のさまざまなプロダクトおよびサービスを紹介します。

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

応用データ分析、データエンジニア、AIエンジニアを目指す人に適しています

データサイエンティストや機械学習エンジニアを志す人も受講できます

Google Cloud Platformを使用してデータ分析やAI開発のスキルを習得できます

Google Cloud Platformで提供されるツールやサービスを使用するプロジェクトに取り組めます

ストリーミングデータの管理、データ処理、データ視覚化の手法を学習できます

ビッグデータ分析用に設計されたGoogle BigQueryの使用方法を習得できます

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Reviews summary

Google cloudビッグデータ・mlの全体像と入門

受講者によると、本コースはGoogle Cloudにおけるビッグデータと機械学習の全体像を体系的に理解するのに最適です。日本語版として提供されている点が高く評価されており、多くの学習者が非常に分かりやすいと述べています。特にVertex AIなど最新のGCPサービス概要を網羅し、丁寧なハンズオンを通して実践的な知識が得られると好評です。しかし、一部のレビューでは、すでにGCPやMLの知識がある学習者には内容がやや基礎的すぎると感じる場合があり、より専門的な深掘りや具体的な実装例を期待すると物足りなさを感じるかもしれません。初心者にとっては完璧な入門コースですが、中級者以上は補足学習が必要となるでしょう。

Vertex AIなど、Google Cloudの最新サービスにも触れています。

"Vertex AIなど最新サービスについても触れられていて良かった。"

"特にVertex AIのパートは充実していて、今後の業務に役立ちそうです。"

"Vertex AIの概要が理解できたのが一番大きい収穫でした。"

"Vertex AIを含め、主要なML/BigDataサービスを網羅している。"

丁寧なハンズオン演習が学習理解を深めるのに役立ちます。

"ハンズオン形式で説明してあり、理解しやすかった。"

"ハンズオンが丁寧で、理解が進んだ。"

"基礎的な部分をしっかり学べた。ハンズオンも充実していて、理解が深まった。"

"ハンズオンが豊富で助かった。"

日本語で学習できるため、内容をスムーズに吸収できます。

"日本語版であることも学習の助けとなりました。"

"日本語コンテンツとして非常に価値があると思います。"

"日本語での解説が素晴らしい。"

"日本語でこのレベルのコースは貴重だと思いました。"

Google Cloudビッグデータ・MLサービスの包括的な理解を促します。

"BigQueryやVertex AIといったGoogle Cloudプロダクトの全体像を掴むことができました。"

"GCPのML/BigData関連サービスを一通り理解するのに役立った。"

"非常に分かりやすく、GCPのビッグデータとMLの全体像を把握できた。"

"網羅性と分かりやすさが両立している。入門コースとして完璧。"

概念的な説明が多く、具体的な実践例やユースケースが少ないです。

"もう少し深掘りした内容も欲しかったが、入門としては十分。"

"具体的な実装例がもっとあれば、より実践的になると思う。"

"説明が少し抽象的で、実際のユースケースがもっと欲しかった。"

"もう少し具体的なコード例が欲しかった。"

"全体像を掴むには良い。ただ、各サービスの具体的な設定やデバッグには触れていない。"

GCPとMLの初心者には最適ですが、経験者には基礎的すぎます。

"Google Cloudでビッグデータ/MLを学ぶ最初のコースとして非常に良い。"

"初心者にも分かりやすく構成されている。"

"基礎固めには良い。ただ、もう少し専門的な内容を期待していた。"

"内容はとても浅い。すでにGCPを使っている人には時間の無駄。完全に初心者向け。"

"内容が初心者向けすぎて、期待外れ。もっと技術的な深掘りを求めていました。"

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 Google Cloud Big Data and Machine Learning Fundamentals 日本語版 with these activities:

Review Google Cloud concepts

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Reinforce your understanding of fundamental Google Cloud concepts to strengthen your foundation for this course.

Browse courses on Google Cloud

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Revisit documentation and tutorials on Google Cloud concepts
Practice using Google Cloud console

Follow Google Cloud tutorials

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Enhance your practical skills by completing guided tutorials on Google Cloud's big data and machine learning services.

Browse courses on Big Data

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Explore tutorials on streaming data management, BigQuery, and Vertex AI
Follow step-by-step instructions to create pipelines and models

Solve ML practice problems

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Deepen your understanding of ML concepts by solving practice problems.

Browse courses on Machine Learning

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Find practice problems on online platforms or textbooks
Attempt to solve problems using different ML algorithms
Check your solutions and identify areas for improvement

Five other activities

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Show all eight activities

Summarize key concepts

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Reinforce your understanding by creating summaries of key concepts covered in the course.

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Identify and outline main ideas from lectures and readings
Write concise and clear summaries

Join study groups

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Boost your learning through discussions and collaboration with peers.

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Form or join study groups with classmates
Discuss course materials, share insights, and solve problems together

Contribute to open source projects

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Apply your knowledge and gain practical experience by contributing to open source projects in the field of big data or machine learning.

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Identify open source projects related to course topics
Contribute code, documentation, or bug reports
Engage with the community and learn from other contributors

Create a resource repository

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Consolidate your learning materials by creating a repository of useful resources.

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Gather relevant articles, tutorials, and code snippets
Organize and categorize the resources
Share your repository with others

Contribute to community forums

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Engage with the community by answering questions and providing support in online forums related to course topics.

Show steps

Find online forums or communities focused on big data or machine learning
Monitor discussions and identify unanswered questions
Provide thoughtful and informative responses

Career center

Learners who complete Google Cloud Big Data and Machine Learning Fundamentals 日本語版 will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers design, build, and maintain data architectures and systems that store and manage large datasets. They work with data scientists and other stakeholders to identify data needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of big data engineering, including data storage, processing, and analysis. You will learn about Google Cloud's suite of big data tools and services, and how to use them to build and manage big data pipelines.

See salaries and explore the career path for Data Engineer

Big Data Engineer

Big Data Engineers are responsible for designing, building, and maintaining big data infrastructure and applications. They work with large and complex datasets, and use a variety of tools and technologies to store, process, and analyze data. This course can help you build a foundation in the principles and practices of big data engineering, including data storage, processing, and analysis. You will learn about Google Cloud's suite of big data tools and services, and how to use them to build and manage big data pipelines.

See salaries and explore the career path for Big Data Engineer

Data Architect

Data Architects design and build data architectures that meet the needs of an organization. They work with stakeholders to understand data requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of data architecture, including data modeling, data storage, and data security. You will learn about Google Cloud's suite of data architecture tools and services, and how to use them to design and build data architectures.

See salaries and explore the career path for Data Architect

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They work with data scientists and other stakeholders to identify machine learning needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of machine learning, including data preparation, model training, and model deployment. You will learn about Google Cloud's suite of machine learning tools and services, and how to use them to build and manage machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve problems and make decisions. They work with data engineers and other stakeholders to identify data needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of data science, including data analysis, machine learning, and data visualization. You will learn about Google Cloud's suite of data science tools and services, and how to use them to solve problems and make decisions.

See salaries and explore the career path for Data Scientist

Cloud Architect

Cloud Architects design and build cloud-based solutions. They work with stakeholders to understand business needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of cloud architecture, including cloud computing, cloud storage, and cloud security. You will learn about Google Cloud's suite of cloud architecture tools and services, and how to use them to design and build cloud-based solutions.

See salaries and explore the career path for Cloud Architect

Software Engineer

Software Engineers design, build, and maintain software applications. They work with stakeholders to understand software requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of software engineering, including software design, software development, and software testing. You will learn about Google Cloud's suite of software engineering tools and services, and how to use them to design, build, and maintain software applications.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts use data to identify trends and patterns. They work with data scientists and other stakeholders to identify data needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of data analysis, including data collection, data cleaning, and data visualization. You will learn about Google Cloud's suite of data analysis tools and services, and how to use them to identify trends and patterns.

See salaries and explore the career path for Data Analyst

DevOps Engineer

DevOps Engineers work with developers and operations teams to ensure that software applications are built, deployed, and maintained in a reliable and efficient manner. This course can help you build a foundation in the principles and practices of DevOps, including continuous integration, continuous delivery, and continuous monitoring. You will learn about Google Cloud's suite of DevOps tools and services, and how to use them to build, deploy, and maintain software applications.

See salaries and explore the career path for DevOps Engineer

Cloud Security Engineer

Cloud Security Engineers design and implement security measures to protect cloud-based systems and data. They work with stakeholders to understand security requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of cloud security, including cloud security architecture, cloud security monitoring, and cloud security incident response. You will learn about Google Cloud's suite of cloud security tools and services, and how to use them to design and implement security measures to protect cloud-based systems and data.

See salaries and explore the career path for Cloud Security Engineer

Data Governance Specialist

Data Governance Specialists develop and implement data governance policies and procedures. They work with stakeholders to identify data governance needs and develop solutions to meet those needs. This course can help you build a foundation in the principles and practices of data governance, including data classification, data lineage, and data retention. You will learn about Google Cloud's suite of data governance tools and services, and how to use them to develop and implement data governance policies and procedures.

See salaries and explore the career path for Data Governance Specialist

Database Administrator

Database Administrators design, build, and maintain databases. They work with stakeholders to understand database requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of database administration, including database design, database development, and database maintenance. You will learn about Google Cloud's suite of database administration tools and services, and how to use them to design, build, and maintain databases.

See salaries and explore the career path for Database Administrator

Systems Engineer

Systems Engineers design, build, and maintain computer systems. They work with stakeholders to understand system requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of systems engineering, including system design, system development, and system maintenance. You will learn about Google Cloud's suite of systems engineering tools and services, and how to use them to design, build, and maintain computer systems.

See salaries and explore the career path for Systems Engineer

Network Engineer

Network Engineers design, build, and maintain computer networks. They work with stakeholders to understand network requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of network engineering, including network design, network development, and network maintenance. You will learn about Google Cloud's suite of network engineering tools and services, and how to use them to design, build, and maintain computer networks.

See salaries and explore the career path for Network Engineer

Storage Engineer

Storage Engineers design, build, and maintain storage systems. They work with stakeholders to understand storage requirements and develop solutions to meet those requirements. This course can help you build a foundation in the principles and practices of storage engineering, including storage design, storage development, and storage maintenance. You will learn about Google Cloud's suite of storage engineering tools and services, and how to use them to design, build, and maintain storage systems.

See salaries and explore the career path for Storage Engineer

Reading list

We've selected 14 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 Google Cloud Big Data and Machine Learning Fundamentals 日本語版.