Azure AI Foundry - Project Driven Learning for AI on Cloud

所在平台: Udemy

课程主页: https://www.udemy.com/course/azure-ai-foundry/

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**课程名称:Azure AI Foundry - 云端 AI 项目驱动学习** **课程概述:** 本课程是一份全面的教程,旨在帮助学员深入了解 Azure AI Foundry(前身为 Azure AI Studio)的潜力,特别是生成式 AI 及其在微软前沿 AI 平台上的应用。课程将为学员打下生成式 AI 的基础,并系统地介绍 Azure AI Foundry 的用户界面、各种 AI 模型以及 OpenAI 服务,同时还会探索多个 OpenAI 模型游乐场。 学员将深入了解负责任 AI 的原则,确保在实际场景中进行合乎道德且规范的 AI 使用。通过互动式课程和演示,本课程将为学生打下坚实的微软 Azure AI 生态系统理解基础,使其能够更轻松地导航和有效部署 AI 解决方案。 完成本课程后,学员将掌握 Azure AI 平台(曾称为 Azure AI Studio,现已升级并更名为 Azure AI Foundry)的基础知识。 无论您是 AI 爱好者还是希望扩展专业知识的专业人士,本教程都将提供一个结构化的方法来掌握 Azure AI Foundry 的能力。 **免责声明:** 本课程仅供教育目的。任何 AI 模型和服务在实际应用中均需经过尽职调查,并遵守道德和监管指南。本教程不作为实时实施指南。 **课程内容要点:** * 生成式 AI 基础知识 * Azure AI Foundry (原 Azure AI Studio) 用户界面介绍 * Azure AI 平台上的各种 AI 模型 * OpenAI 服务及模型游乐场探索 * 负责任 AI 原则的应用与理解 * 微软 Azure AI 生态系统的导航与部署策略

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Unlock the potential of Azure AI Foundry with this comprehensive tutorial designed for learners eager to understand generative AI and its applications within Microsoft's cutting-edge AI platform. This course lays the foundation for generative AI, providing a structured walkthrough of the Azure AI Foundry user interface, various AI models, and the OpenAI service, along with an exploration of multiple playgrounds for OpenAI models.Learners will gain insights into responsible AI principles, ensuring ethical and well-governed AI usage in practical scenarios. Through interactive lessons and demonstrations, this course equips students with a strong understanding of Microsoft Azure's AI ecosystem, making it easier to navigate and deploy AI solutions effectively.After completing this course, the students will learn the foundations of the AI platform on Azure which used to be Azure AI Studio. It was further enhanced and rebranded as "Azure AI Foundry".Whether you're an AI enthusiast or a professional looking to expand your expertise, this tutorial will provide a structured approach to grasping the capabilities of Azure AI Foundry.Disclaimer:This course is for educational purposes only. Any practical implementation of AI models and services should be conducted with due diligence and in compliance with ethical and regulatory guidelines. This tutorial does not serve as a real-time implementation guide.

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