All current Google Cloud Platform (GCP) Courses courses in 2024
176 Courses
Gemini for Data Scientists and Analysts - 日本語版
Gemini for Data Scientists and Analysts - 日本語版
このコースでは、生成 AI を活用した Google Cloud のコラボレーターである Gemini が、顧客データの分析や商品売上の予測にどのように役立つかについて学びます。また、BigQuery で顧客データを使用して、新規顧客を特定、分類、発見する方法も学習します。ハンズオンラボでは、Gemini でデータ分析と ML のワークフ.
Gemini for Network Engineers - Bahasa Indonesia
Gemini for Network Engineers - Bahasa Indonesia
Dalam kursus ini, Anda akan mempelajari cara Gemini, kolaborator yang didukung AI generatif dari Google Cloud, dalam membantu engineer jaringan membuat, mengupdate, dan memelihara jaringan VPC. Anda akan mempelajari cara memanfaatkan Gemini untuk memberikan panduan spesifik untuk tugas-tugas jaring.
Responsible AI for Developers: Fairness & Bias - 한국어
Responsible AI for Developers: Fairness & Bias - 한국어
Title: Responsible AI for Developers: Fairness & Bias - 한국어
Description: 이 과정에서는 책임감 있는 AI라는 개념과 AI 원칙을 소개합니다. 공정성과 편향을 실질적으로 식별하고 AI/ML 실무에서 편향을 완화하는 기법을 알아봅니다. Google Cloud 제품과 오픈소스 도구를 사용하여 책임감 있.
Getting started with the Vertex AI Gemini 1.5 Pro Model
Getting Started with the Vertex AI Gemini 1.5 Pro Model
Getting Started with the Vertex AI Gemini 1.5 Pro Model
Immerse yourself in a self-paced lab within the Google Cloud console, designed to offer an introductory and practical experience with Generative AI on Google Cloud. This engaging lab is provided by Coursera.
Categories: A.
Custom Document Extraction with Document AI Workbench
Custom Document Extraction with Document AI Workbench
Experience hands-on learning with this self-paced lab in the Google Cloud console. During this lab, you will master the creation and training of a Custom Document Extractor specifically designed for processing W-2 (US tax form) documents.
University: Coursera
Categories: Machine Learning Cour.
Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run
Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run | Coursera
Embark on a self-paced lab through the Google Cloud console and master the deployment of a Streamlit app integrated with Gemini Pro on Cloud Run. This lab is provided by Coursera and lies within several categories, including Artificial Intelligence, Pytho.
Using Specialized Processors with Document AI (Python)
Using Specialized Processors with Document AI (Python)
Course Title: Using Specialized Processors with Document AI (Python)
Description: This self-paced lab offers hands-on experience in the Google Cloud console. Learn to harness the power of Document AI Specialized Processors to classify and parse specialized documents using Python..
Using Gemini in Education
Using Gemini in Education
Join our self-paced lab on the Google Cloud console to explore the potential of Gemini models in transforming educational experiences. This hands-on course, provided by Coursera, is designed for those eager to integrate cutting-edge AI and machine learning technologies into educational environments.
Offered by: Coursera.
Build an application to send Chat Prompts using the Gemini model
Build an application to send Chat Prompts using the Gemini model
This self-paced lab takes place in the Google Cloud console. In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to send text-based chat prompts as an input and receive personalized streaming and non-.
