In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.
This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。
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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
通过 BigQuery ML 创建机器学习模型
Earned Feb 1, 2024 EST
面向机器学习的 BigQuery
Earned Feb 1, 2024 EST
Exploring and Preparing your Data with BigQuery
Earned Jan 30, 2024 EST
Generative AI Fundamentals
Earned Jan 25, 2024 EST
负责任的 AI 简介
Earned Jan 25, 2024 EST
生成式 AI 简介
Earned Jan 24, 2024 EST
大型语言模型简介
Earned Jan 24, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jan 4, 2024 EST
使用 Google Cloud Observability 进行监控和记录
Earned Nov 9, 2023 EST
为 Compute Engine 实现云负载均衡
Earned Nov 8, 2023 EST
在 Google Cloud 上设置应用开发环境
Earned Nov 8, 2023 EST