参加 ログイン

Singh Aditya

メンバー加入日: 2022

シルバーリーグ

2105 ポイント
責任ある AI: Google Cloud における AI に関する原則の適用 Earned 7月 30, 2025 EDT
責任ある AI の概要 Earned 7月 29, 2025 EDT
DEPRECATED Deploy Google Cloud Framework Data Foundation for SAP Earned 4月 13, 2023 EDT
Delivery Shadowing Earned 8月 25, 2022 EDT
Technology + Beyond the UI Earned 8月 25, 2022 EDT
Technology + Within the UI Earned 8月 25, 2022 EDT
Table Calculations, Pivots, and Visualizations Earned 8月 25, 2022 EDT
Building Reports in Looker Earned 8月 25, 2022 EDT
Liquid Templates and Parameters Earned 8月 25, 2022 EDT
Extends to Keep LookML DRY Earned 8月 25, 2022 EDT
Admin Roles and Folder Access Earned 8月 25, 2022 EDT
Version Control and Caching Earned 8月 24, 2022 EDT
The Modern Data Platform and LookML Earned 8月 24, 2022 EDT
Case Studies Earned 8月 24, 2022 EDT
Driving Data Culture and Designing Dashboards Earned 8月 19, 2022 EDT
Achieving Business Outcomes with Looker Earned 8月 10, 2022 EDT
Looker Explained Earned 8月 5, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - 日本語版 Earned 7月 1, 2022 EDT
Analyzing and Visualizing Data in Looker - 日本語版 Earned 5月 26, 2022 EDT

企業における AI と ML の利用が拡大し続けるなか、責任を持ってそれを構築することの重要性も増しています。多くの企業にとっての課題は、責任ある AI と口で言うのは簡単でも、それを実践するのは難しいということです。このコースは、責任ある AI を組織で運用化する方法を学びたい方に最適です。 このコースでは、Google Cloud が責任ある AI を現在どのように運用化しているかを、ベスト プラクティスや教訓と併せて学び、責任ある AI に対する独自のアプローチを構築するためのフレームワークとして活用できるようにします。

詳細

この入門レベルのマイクロラーニング コースでは、責任ある AI の概要と重要性、および Google が責任ある AI を自社プロダクトにどのように実装しているのかについて説明します。また、Google の AI に関する 7 つの原則についても説明します。

詳細

Earn a skill badge by completing the Deploy Google Cloud Framework Data Foundation for SAP quest. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

詳細

In this course, you shadow a series of client meetings led by a Looker Professional Services Consultant.

詳細

In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.

詳細

Develop technical skills beyond LookML along with basic administration for optimizing Looker instances

詳細

This course reviews the processes for creating table calculations, pivots and visualizations

詳細

This course is designed for Looker users who want to create their own ad-hoc reports. It assumes experience of everything covered in our Get Started with Looker course (logging in, finding Looks & dashboards, adjusting filters, and sending data)

詳細

In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.

詳細

Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.

詳細

This course is designed to teach you about roles, permission sets and model sets. These are areas that are used together to manage what users can do and what they can see in Looker.

詳細

This course aims to introduce you to the basic concepts of Git: what it is and how it's used in Looker. You will also develop an in-depth knowledge of the caching process on the Looker platform, such as why they are used and why they work

詳細

This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.

詳細

By the end of this course, you should feel confident employing technical concepts to fulfill business requirements and be familiar with common complex design patterns.

詳細

This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.

詳細

In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.

詳細

By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.

詳細

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。

詳細

このコースでは、これまで主に SQL のデベロッパーやアナリストが行っていたようなデータの探索や分析を Looker で実施する方法について学びます。このコースを修了すると、Looker の最新の分析プラットフォームを活用して、組織の Looker インスタンスにおける関連性の高いコンテンツの検索と探索、データに関する問い合わせ、必要に応じた新しい指標の作成、データドリブンな意思決定を促進するためのビジュアリゼーションとダッシュボードの作成や共有を行えるようになります。

詳細