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Build and Deploy an Agent with Reasoning Engine in Vertex AI

Build and Deploy an Agent with Reasoning Engine in Vertex AI Engage in this self-paced lab through the Google Cloud console and gain hands-on experience in building and deploying an agent. Learn to utilize the Vertex AI SDK for Python effectively, including working with models, tools, and reasoning. Categories: Artificial Intelligence Cour.
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Build a DIY Multimodal Question Answering System with Vertex AI

Build a DIY Multimodal Question Answering System with Vertex AI Join this self-paced lab in the Google Cloud console to master building a question answering system capable of understanding both text and images with Vertex AI. Perfect for those interested in Artificial Intelligence, Machine Learning, Computer Vision, and Google Cloud Platform..
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What are GPTs and How can they work for my business?

What are GPTs and How can they work for my business? This course provides participants with a comprehensive understanding of how custom GPTs can be leveraged for strategic decision-making in business. It begins with an introduction to custom GPTs, explores their diverse applications in business, and delves into real-world examples of usi.
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Intro to Claude AI

Intro to Claude AI Welcome to Claude AI! In this course, you will get to know Claude, Anthropic's powerful large language model. Through a series of fun coding challenges, you'll build practical skills and learn how to harness Claude's capabilities effectively in a variety of projects. Whatever exciting applications you hope to.
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Introduction to Vertex AI Embeddings: Text and Multimodal

Introduction to Vertex AI Embeddings: Text and Multimodal Explore the comprehensive world of Vertex AI with our self-paced lab, Introduction to Vertex AI Embeddings: Text and Multimodal. Conducted through the Google Cloud console, this lab provides hands-on experience with the Vertex AI Embeddings API, catering to both Text and Multimodal (Image.
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Intro to Context Caching with the Gemini API

Intro to Context Caching with the Gemini API Welcome to a self-paced lab designed for the Google Cloud console. This interactive session will guide you through leveraging the Gemini API context caching feature within Vertex AI. Enhance your AI and machine learning skills through practical implementation on Google Cloud..
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Explore Data with Gemini in BigQuery

Explore Data with Gemini in BigQuery This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Table Explorer and Data Insights with Gemini in BigQuery. Provider: Coursera Categories: Data Analysis Courses, Cloud Computing Courses, Google Cloud Platform (GCP.
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Develop Code with Gemini in BigQuery

Develop Code with Gemini in BigQuery This self-paced lab, available on Coursera, guides you through the process of using Gemini code generation, explanation, and suggestions in BigQuery within the Google Cloud console.
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Responsible Artificial Intelligence Practices (Traditional Chinese)

負責任的人工智慧實踐 (繁體中文) 在本課程中,您將學習 AI 實踐。首先,將為您介紹什麼是負責任的 AI。您將學習如何定義負責任的 AI、瞭解負責任的 AI 嘗試克服之挑戰,以及探索負責任 AI 的核心維度。 然後,您將深入探索一些主題,瞭解開發負責任的 AI 系統。將為您介紹由 AWS 提供,以協助您使用負責任的 AI 之服務和工具。您也將瞭解在為 AI 系統選擇模型和準備資料時,.
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Developing Generative Artificial Intelligence Solutions (Traditional Chinese)

開發生成式人工智慧解決方案 (繁體中文) 在本課程中,您將會探索生成式人工智慧 (生成式 AI) 應用程式生命週期,其中包括以下內容: 定義商業使用案例 選取基礎模型 (FM) 改善 FM 的效能 評估 FM 的效能 部署及其對業務目標的影響 本課程是生成式 AI 課程的入門,其中深入探討使用提示詞工程、檢索增強生成 (RAG) 和微調來自訂 FM 的相關概念。 課程等級:基礎.
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