Handle Consumer Interactions with CCAIP
Earned Oct 8, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Jun 20, 2024 EDT
Google Cloud Generative AI Trailblazer
Earned Jun 20, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned Jan 11, 2024 EST
Text Prompt Engineering Techniques
Earned Jan 10, 2024 EST
Implementing Generative AI with Vertex AI
Earned Jan 3, 2024 EST
Vertex AI Studio 簡介
Earned Jan 1, 2024 EST
建立圖像說明生成模型
Earned Dec 29, 2023 EST
Transformer 和 BERT 模型
Earned Dec 29, 2023 EST
編碼器-解碼器架構
Earned Dec 29, 2023 EST
注意力機制
Earned Dec 28, 2023 EST
圖像生成簡介
Earned Dec 28, 2023 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Dec 28, 2023 EST
Generative AI Fundamentals
Earned Dec 28, 2023 EST
負責任的 AI 技術簡介
Earned Dec 27, 2023 EST
大型語言模型簡介
Earned Dec 27, 2023 EST
生成式 AI 簡介
Earned Dec 26, 2023 EST
This course teaches contact center agents about the core agent features and functionality in Contact Center AI Platform (CCAIP). CCAIP is a unified contact center platform that accelerates an organization's ability to leverage and deploy CCAI without relying on multiple technology providers. This course is most appropriate for those who handle consumer interactions via chat and call.
了解详情
This workload aims to upskill Google Cloud partners to perform specific tasks associated with building a Custom Doc Extractor using the Google Cloud AI solution. The following will be addressed:
Service: Document AI
Task: Extract fields
Processors: Custom Document Extractor and Document Splitter
Prediction: Using Endpoint to programmatically extract fields
了解详情
This course is for Google Cloud’s top partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases. Those who complete the training and assessment will receive the Google Cloud Generative AI Trailblazer badge through Skills Boost.
了解详情
In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
了解详情
Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
了解详情
This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
了解详情
本課程會介紹 Vertex AI Studio。您可以運用這項工具和生成式 AI 模型互動、根據商業構想設計原型，並投入到正式環境。透過身歷其境的應用實例、有趣的課程及實作實驗室，您將能探索從提示到正式環境的生命週期，同時學習如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計、提示工程和模型調整。這個課程的目標是讓您能運用 Vertex AI Studio，在專案中發揮生成式 AI 的潛能。
本課程將介紹擴散模型，這是一種機器學習模型，近期在圖像生成領域展現亮眼潛力。概念源自物理學，尤其深受熱力學影響。過去幾年來，在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中，擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論，並說明如何在 Vertex AI 上訓練和部署這些模型。
了解详情
隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
了解详情
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.
了解详情
這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
了解详情
這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
了解详情
這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
Handle Consumer Interactions with CCAIP
Earned Oct 8, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Jun 20, 2024 EDT
Google Cloud Generative AI Trailblazer
Earned Jun 20, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned Jan 11, 2024 EST
Text Prompt Engineering Techniques
Earned Jan 10, 2024 EST
Implementing Generative AI with Vertex AI
Earned Jan 3, 2024 EST
Vertex AI Studio 簡介
Earned Jan 1, 2024 EST
建立圖像說明生成模型
Earned Dec 29, 2023 EST
Transformer 和 BERT 模型
Earned Dec 29, 2023 EST
編碼器-解碼器架構
Earned Dec 29, 2023 EST
注意力機制
Earned Dec 28, 2023 EST
圖像生成簡介
Earned Dec 28, 2023 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Dec 28, 2023 EST
Generative AI Fundamentals
Earned Dec 28, 2023 EST
負責任的 AI 技術簡介
Earned Dec 27, 2023 EST
大型語言模型簡介
Earned Dec 27, 2023 EST
生成式 AI 簡介
Earned Dec 26, 2023 EST