Google Cloud Courses

Building No-Code Apps with AppSheet: Implementation

22 ratings at Coursera

Implement AppSheet data types and expressions, actions, security features and external integrations, then partition data, version, monitor and troubleshoot your no-code app.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Analyzing and Visualizing Data the Google Way

22 ratings at Coursera

Analyze and visualize data with BigQuery and Connected Sheets in Google Sheets, answering business questions and sharing insights with stakeholders.

• Coursera
• 7 hours 57 minutes
• Self-Paced
• Paid Course

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

21 ratings at Coursera

Turn flat data into stories: apply visualization design principles, choose the right charts, build cloud dashboards, and model data with LookML for enterprise analytics.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Introduction to AI and Machine Learning on GC - Español

21 ratings at Coursera

Explora herramientas de Google Cloud para desarrollar proyectos de IA generativa y predictiva, desde los datos hasta la implementación de modelos.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

AI Agents with Vertex AI Reasoning Engine and Agent Builder

20 ratings at Coursera

Design, build, and deploy AI agents with Google Cloud, integrating Gemini, LangChain, MCP, enterprise databases, and Vertex AI Agent Builder.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Career Certificate

Google Workspace Administration 日本語版

19 ratings at Coursera

Google Workspace のアカウント、ユーザー、サービス、セキュリティ、メールを組織向けに管理・設定する基礎を学びます。

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Getting Started with Cloud Shell and gcloud

20 ratings at Coursera

Connect to Google Cloud computing resources from a browser, then use Cloud Shell and the Cloud SDK gcloud command in this hands-on lab.

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

Learning TensorFlow: the Hello World of Machine Learning

20 ratings at Coursera

Build the "Hello World" of machine learning in TensorFlow: train a model on data to infer the numeric relationship instead of coding explicit rules.

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

Google Calendar: Getting Started

19 ratings at Coursera

Use Google Calendar to schedule meetings and events, set reminders for upcoming activities, share your schedule, and create multiple calendars for team use.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Google Drive: Getting Started

19 ratings at Coursera

Store photos, Word documents, and Excel spreadsheets in Google Drive, edit Word files with Google Docs, and convert them to Docs, Sheets, or Slides.

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

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

20 ratings at Coursera

Manage ML features on Google Cloud: explore Vertex AI Feature Store's key capabilities and practice streaming ingestion at the SDK layer for production ML systems.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Generative AI with Vertex AI: Prompt Design

20 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Gemini for Application Developers

20 ratings at Coursera

Prompt Gemini to explain code, recommend Google Cloud services, and generate application code, then apply it in a hands-on application development lab.

• Coursera
• 2 hours 16 minutes
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias

19 ratings at Coursera

Identify and mitigate fairness and bias in AI/ML: apply Google's AI Principles, data and modeling techniques, and open source tools on Google Cloud.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Vector Search and Embeddings

19 ratings at Coursera

Build a search application on Vertex AI Vector Search: semantic search with text embeddings, hybrid semantic-keyword search, and retrieval-augmented generation that grounds answers and limits hallucinations.

• Coursera
• 4 hours 28 minutes
• Self-Paced
• Paid Course