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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-certified-azure-ai-fundamentals-ai-900-z/
课程评论：没有评论
课程名称：微软认证：Azure AI 基础知识 AI-900 概述：Azure AI 基础知识课程是一项基础认证，旨在向您介绍人工智能（AI）的世界及其在微软 Azure 上的应用。该课程非常适合希望全面了解 AI 概念和支持其实施的 Azure 服务的个人。 主要优势： - 展示 AI 知识：验证您在机器学习和 AI 原则方面的熟练程度。 - 探索 Azure 服务：熟悉相关的微软 Azure 工具和技术。 - 为高级认证做好准备：作为迈向 Azure 数据科学家助理或 Azure AI 工程师助理的踏脚石。 先决条件：虽然不要求具备数据科学或软件工程的经验，但建议具备以下基本知识： - 云计算：了解基础的云概念。 - 客户端-服务器应用：了解客户端-服务器架构的运行方式。 - 数学：掌握基本的数学原理，特别是能够解读图表。 - 编程：具备基础的编程原理理解，将有助于实际操作活动。 课程内容：该课程涵盖广泛的 AI 主题，包括： - AI 介绍：探索 AI、机器学习和深度学习的基础知识。 - Azure AI 服务：了解各种 Azure 服务，以构建 AI 解决方案，如 Azure 机器学习、Azure 认知服务和 Azure 物联网。 - AI 用例：发现 AI 在不同行业的实际应用。 - 实践练习：参与实际活动，以应用 AI 概念和 Azure 服务。
Azure AI Fundamentals is a foundational certification designed to introduce you to the world of artificial intelligence (AI) and its applications on Microsoft Azure. This course is ideal for individuals seeking a comprehensive understanding of AI concepts and the Azure services that enable their implementation.Key Benefits:Demonstrate AI Knowledge: Validate your proficiency in machine learning and AI principles.Explore Azure Services: Gain familiarity with relevant Microsoft Azure tools and technologies.Prepare for Advanced Certifications: Serve as a stepping stone towards Azure Data Scientist Associate or Azure AI Engineer Associate.Prerequisites:While prior experience in data science or software engineering is not mandatory, a basic understanding of the following is recommended:Cloud Computing: Familiarity with fundamental cloud concepts.Client-Server Applications: Knowledge of how client-server architectures function.Mathematics: A grasp of basic mathematical principles, particularly the ability to interpret charts.Programming: A foundational understanding of programming principles will be beneficial for hands-on activities.Course Content:The course covers a wide range of AI topics, including:Introduction to AI: Explore the basics of AI, machine learning, and deep learning.Azure AI Services: Learn about various Azure services for building AI solutions, such as Azure Machine Learning, Azure Cognitive Services, and Azure IoT.AI Use Cases: Discover real-world applications of AI across different industries.Hands-On Exercises: Engage in practical activities to apply AI concepts and Azure services.
