Google Cloud Courses

Create Image Captioning Models - Français

Apprenez à créer des modèles de sous-titrage d'images avec le deep learning. Découvrez les composants clés, l'entraînement et l'évaluation pour générer des sous-titres précis pour vos images.

• Coursera
• 49 minutes
• Self-Paced
• Paid Course

Create Image Captioning Models - 简体中文

本课程教您如何使用深度学习来创建图片标注模型。您将了解图片标注模型的不同组成部分，例如编码器和解码器，以及如何训练和评估模型。学完本课程，您将能够自行创建图片标注模型并用来生成图片说明。

• Coursera
• 49 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Explore MLOps tools and best practices for deploying, evaluating, and monitoring ML systems on Google Cloud, with hands-on practice using Vertex AI Feature Store's streaming ingestion.

• Coursera
• 2 hours 20 minutes
• Self-Paced
• Paid Course

Create Image Captioning Models - 繁體中文

本課程說明如何使用深度學習來建立圖像說明生成模型。您將學習圖像說明生成模型的各個不同組成部分，例如編碼器和解碼器，以及如何訓練和評估模型。在本課程結束時，您將能建立自己的圖像說明生成模型，並使用模型產生圖像說明文字。

• Coursera
• 49 minutes
• Self-Paced
• Paid Course

Create Image Captioning Models - Italiano

Impara a creare modelli di deep learning per generare didascalie automatiche delle immagini, esplorando componenti come encoder e decoder, e tecniche di addestramento e valutazione.

• Coursera
• 52 minutes
• Self-Paced
• Paid Course

Introduction to Vertex Forecasting and Time Series in Practice

Learn to build forecasting solutions using Google Cloud, covering sequence models, time series analysis, and end-to-end workflows with Vertex AI. Gain practical skills through retail use cases and hands-on model development.

• Coursera
• 15 hours 7 minutes
• Self-Paced
• Paid Course

Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

Aprenda a criar pipelines de dados, desenvolver modelos de ML com TensorFlow e Keras, e melhorar a acurácia em escala usando o Google Cloud. Aborda desde conceitos básicos até técnicas avançadas.

• Coursera
• 13 hours 8 minutes
• Self-Paced
• Paid Course

Scale VM-Series to secure Google Cloud Networks

This is a self-paced lab that takes place in the Google Cloud console. Secure Google Cloud hub-and-spoke topology with VM-Series at scale.

• Coursera
• 55 minutes
• Self-Paced
• Paid Course

Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

このコースでは、TensorFlow 2.x 入力データ パイプラインの設計と構築、TensorFlow 2.x と Keras を使用した ML モデルの構築、ML モデルの精度の改善、スケーリングに対応した ML モデルの作成、特殊な ML モデルの作成について説明します。

• Coursera
• 12 hours 23 minutes
• Self-Paced
• Paid Course

Using the Natural Language API from Google Docs

This is a Google Cloud Self-Paced Lab. In this hands-on lab, you will use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

BigQuery Fundamentals for Teradata Professionals

Learn BigQuery fundamentals, including resource provisioning, data management, and query optimization, with a focus on transitioning from Teradata to Google Cloud's data warehouse solution.

• Coursera
• 5 hours 47 minutes
• Self-Paced
• Paid Course

Serverless Data Processing with Dataflow: Operations en Español

Aprende a optimizar, monitorear y solucionar problemas en canalizaciones de Dataflow. Domina pruebas, implementación, confiabilidad y uso de plantillas para escalar eficientemente tus proyectos de procesamiento de datos.

• Coursera
• 9 hours 54 minutes
• Self-Paced
• Paid Course

Serverless Data Processing with Dataflow: Operations em Português Brasileiro

Aprenda a otimizar, monitorar e solucionar problemas em pipelines Dataflow. Domine técnicas de teste, implantação e confiabilidade para criar sistemas de dados resilientes e escaláveis.

• Coursera
• 9 hours 54 minutes
• Self-Paced
• Paid Course

Digital Transformation with Google Cloud - Español

Explora la transformación digital y la nube: conceptos, beneficios, desafíos y modelos de servicio. Aprende a impulsar el futuro de tu empresa con tecnología cloud.

• Coursera
• 2 hours 6 minutes
• Self-Paced
• Paid Course

Machine Learning in the Enterprise - 한국어

기업 환경에서 ML 워크플로를 실용적으로 구현하는 방법을 포괄적으로 소개. Vertex AI를 활용한 데이터 관리, 모델 개발, 하이퍼파라미터 조정, 예측 및 모니터링 등 ML 프로세스 전반을 다룸.

• Coursera
• 17 hours 37 minutes
• Self-Paced
• Paid Course