Google Cloud Courses

Introduction to Responsible AI - Português Brasileiro

Este é um curso de microaprendizagem introdutório que busca explicar a IA responsável: o que é, qual é a importância dela e como ela é aplicada nos produtos do Google. Ele também contém os 7 princípios de IA do Google.

• Coursera
• 17 minutes
• On-Demand
• Paid Course

Introduction to Large Language Models - 繁體中文

這堂入門微學習課程說明大型語言模型 (LLM) 的定義與用途，以及如何調整提示來提高 LLM 成效。這堂課程也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。

• Coursera
• 34 minutes
• On-Demand
• Paid Course

Introduction to Large Language Models - Español

22 ratings at Coursera

Explora los modelos de lenguaje grandes: casos de uso, ajuste de instrucciones y herramientas de Google para desarrollar aplicaciones de IA generativa.

• Coursera
• 32 minutes
• On-Demand
• Paid Course

Innovating with Data and Google Cloud בעברית

לימוד יסודות ניהול וניתוח נתונים בענן, כולל מושגים מרכזיים, פתרונות Google Cloud, ויישומי למידה חישובית לחדשנות עסקית ושיפור חוויית לקוח.

• Coursera
• 2 hours 31 minutes
• On-Demand
• Paid Course

Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster

Create a complete HPC environment in Google Cloud using CloudyCluster, offering familiar on-prem features with cloud elasticity and scalability. Experience Open OnDemand tools, JupyterLab, and high-performance storage options.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Dataproc: Qwik Start - Command Line

Learn to create and manage a Google Cloud Dataproc cluster, run Apache Spark jobs, and adjust worker nodes using the gcloud Command Line in this hands-on lab.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Explore and Create Reports with Data Studio

21 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.

• Coursera
• 40 minutes
• On-Demand
• Paid Course

Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

Combine Cloud Vision, Natural Language, and Translation APIs to extract, analyze, and translate text from images using Google Cloud's powerful machine learning tools.

• Coursera
• 50 minutes
• On-Demand
• Paid Course

Protecting Data with NetApp Cloud Manager & Cloud Volumes ONTAP for Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to implement a full data protection strategy with NetApp Cloud Volumes ONTAP and Cloud Manager capabilities.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Dialogflow CX: Parameter Manipulation

Learn advanced Dialogflow CX features to enhance virtual agent conversations, including parameter validation and dynamic flow management for improved user interactions.

• Coursera
• 1 hour 10 minutes
• On-Demand
• Paid Course

App Engine: Qwik Start - PHP

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Building No-Code Apps with AppSheet: Implementation

22 ratings at Coursera

Aprende a implementar capacidades como organización de datos, seguridad, acciones e integraciones en tu app con AppSheet. Mejora el rendimiento, gestiona y soluciona problemas de tu app.

• Coursera
• 12 hours 38 minutes
• On-Demand
• Paid Course

The Power of Storytelling: How to Visualize Data in the Cloud

21 ratings at Coursera

Unlock data's potential through captivating visualizations. Transform raw numbers into compelling stories, master design principles, and create impactful dashboards that drive actionable insights and decision-making.

• Coursera
• 22 hours 12 minutes
• On-Demand
• Paid Course

Exploring the Lineage of Data with Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Creating Date-Partitioned Tables in BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.

• Coursera
• 1 hour
• On-Demand
• Paid Course