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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-microsoft-certified-azure-ai-fundamentals/
课程评论：没有评论
课程名称：通过 AI-900：微软认证：Azure AI 基础考试 课程概述：我们的 Azure AI 基础 (AI-900) 课程旨在为有志于成为 Azure 专业人员的人士提供微软 AI 技术的坚实基础。无论您是 AI 新手还是希望通过 AI-900 认证来正式化技能，这门课程都将为您提供必要的知识和实用见解。您将探讨核心 AI 概念，如机器学习、计算机视觉、自然语言处理和对话式 AI，所有内容均基于微软 Azure 平台。通过实践实验和真实场景，您将学习如何有效利用 Azure AI 服务，从而能够构建推动商业成果的智能解决方案。 课程结束时，您不仅能够顺利通过 AI-900 考试，还能运用 Azure AI 工具和技术解决现实挑战，使您在快速发展的人工智能领域中成为一名有价值的资产。增强在 Azure 上实施 AI 解决方案的信心，踏上您在各个行业中有效推动数字化转型的创新之路。今天就开始您的 Azure AI 基础课程学习，掌握全面而实用的技能。 本课程涵盖的内容： 1. 描述人工智能工作负载及其考虑因素 (15-20%) 2. 描述 Azure 上机器学习的基本原理 (20-25%) 3. 描述 Azure 上计算机视觉工作负载的特征 (15-20%) 4. 描述 Azure 上自然语言处理 (NLP) 工作负载的特征 (15-20%) 5. 描述 Azure 上生成式 AI 工作负载的特征 (15-20%)
Our Azure AI Fundamentals (AI-900) course is designed to provide a solid foundation in Microsoft's AI technologies for aspiring Azure professionals. Whether you're new to AI or aiming to formalize your skills with the AI-900 certification, this course equips you with essential knowledge and practical insights.You will explore core AI concepts such as machine learning, computer vision, natural language processing, and conversational AI, all within the context of Microsoft Azure. Through hands-on labs and real-world scenarios, you'll learn to leverage Azure AI services effectively, gaining the ability to build intelligent solutions that drive business outcomes.By the end of this course, you'll be prepared not only to pass the AI-900 exam but also to apply Azure AI tools and techniques to solve real-world challenges, making you a valuable asset in the rapidly evolving field of artificial intelligence. Gain confidence in implementing AI solutions on Azure, and embark on a path where you can innovate and contribute effectively to digital transformation initiatives across diverse industries. Start your journey to mastering Azure AI Fundamentals today with our comprehensive and practical course.This course covers all aspects:Describe Artificial Intelligence workloads and considerations (15-20%)Describe fundamental principles of machine learning on Azure (20-25%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Describe features of generative AI workloads on Azure (15-20%)
