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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-on-google-cloud-using-vertex-ai-and-build-ai-powered-apps/
课程评论：没有评论
课程总结：在谷歌云上使用 Vertex AI 构建 AI 驱动的应用程序 课程名称：AI on Google Cloud using Vertex AI and build AI powered Apps 本课程旨在帮助学员深入了解如何构建企业级 AI 应用，提供关于 AI 软件使用的全面指导以及对 AI 安全、伦理和原则的基础理解，辅之以一些实用的技巧与窍门。课程内容涵盖生成式 AI 环境的理论知识，以及具体步骤教学，帮助您构建自己的聊天机器人并在网络服务器上托管。学员还将利用大型语言模型（LLMs）和 Gemini AI，在 Google Cloud 和 Vertex AI 环境中构建基于个人数据的搜索与对话知识库。 课程的主要内容包括： 1. AI 的定义：探讨 AI 的历史、应用领域及其受欢迎的原因。 2. 负责任的 AI：介绍在开发中嵌入负责任原则和实践的重要性。 3. AI 的应用案例：分析企业如何使用 AI 的不同场景和领域。 4. 提示工程最佳实践：指导如何构建有效的提示结构，以提升生成式 AI 的表现。 5. Google Cloud 概述与架构：解释 Google Cloud 及其作为企业 AI 架构的原因。 6. Google Cloud 设置：逐步指导设置用于生产的 Google Cloud 环境。 7. Vertex AI 安装：简单介绍如何启动 Vertex AI。 8. Vertex AI 概述：阐明 Vertex AI 的概念及其在 AI 原型和应用开发中的作用。 9. Vertex AI 模型库：探索预构建模型及其用例，并演示如何测试和使用提示。 10. 在您的数据上构建 Vertex AI 聊天机器人：提供逐步指导，帮助您使用 Gemini 和自己的数据在网站上创建聊天机器人。 11. 构建私有知识库：实现一个完全由 LLM 支持的搜索应用，能够处理如 PDF 等非结构化数据中的知识搜索。 12. 实际实施 AI 的技巧：分享初学者应了解的关键点以及如何应对实施过程中可能遇到的痛点。 此外，课程还包括关于原型环境的额外视频。只需具备基本的网络连接和计算机即可参与，并且享受免费的 Google Cloud 额度。现在就开始吧，迈向未来的 AI 企业应用！
Do you want to build Enterprise AI apps and require more comprehensive walkthroughs of using the AI software and a foundational understanding of AI Security, Ethics and the principles as well as some tips and tricks?This training course has been developed to provide you with the theory of the Generative AI environment, as well as the practical steps to follow that will enable you to build your very own chatBot and host it on a webserver. You will also be building a Search and Conversation Knowledge base on your own Data using the power of the LLMs and Gemini AI all within the Google Cloud and Vertex AI environment.This course helps build your knowledge and takes you into the future with Google AI enterprise for 2025 and beyond.All you need for this course is working internet and access to a computer as well. Enjoy Free credits to Google Cloud.The course will cover:1. What is AI? - We cover the history of AI and where it is being used and why it is so popular2. What is Responsible AI? - We cover using AI responsibly with the right principles and practices to embed in your development3. Use Cases for AI - we explore the use cases and areas that business are looking at AI4. Prompt Engineering Best Practices - having a great prompt structure is the key to generative AI, we walk your through the right things to include5. Google Cloud Overview and architecture - Google cloud and what it is, and why it is a Enterprise AI architecture6. Google Cloud Setup - Setting up Google Cloud, for production us requires setting up a number of items, we walk you through getting this going.7. Vertex AI Install - Getting going with Vertex AI is simple8. Vertex AI overview - What is Vertex AI, how can you develop and use Vertex AI to make AI prototypes and applications9. Vertex AI Model Garden - Exploring the pre-built models, and use cases and showing you how to test, and work with the Prompts as well as a Google Colab Model10. Building Vertex AI ChatBot on your Data - We go through step-by-step on how to get a chatBot using Gemini and your data working on your website11. Building Vertex AI Build private Knowledge base - We enable a fully LLM powered Search App on your company or private data with the ability to search and find knowledge that is in unstructured data such as PDF's12. Implementing AI in the real world, with some tips and tricks - Having implemented AI solutions, there are a number of key things that rookies need to be aware of, I walk you through some of the pain points you will experience along the way, and how to overcome them in the real world.+ Extra Video on prototyping environments!What are you waiting for - get started in the right way now!
