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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/introduction-to-ai-in-the-data-center
课程评论：没有评论
课程名称：数据中心人工智能入门 课程概述： 欢迎参加《数据中心人工智能入门》课程！人工智能（AI）正在以多种方式改变我们的社会。从语音识别到改善供应链管理，AI技术为企业提供了所需的计算能力、工具和算法，帮助团队完成各自的重要工作。然而，AI在数据中心是如何运作的？需要哪些硬件和软件基础设施？本课程将帮助您解答这些问题。 课程大纲： 1. **GPU计算导论 | NVIDIA培训** - 了解不同领域的AI应用案例，掌握AI、机器学习（ML）和深度学习（DL）的基本概念，学习GPU是什么及其与CPU的区别。您将了解使开发者能够利用GPU计算进行数据科学的软件生态系统，以及在本地、云端、混合模型或多云环境中部署AI工作负载时需要考虑的因素。 2. **机架级考虑 | NVIDIA培训** - 本模块涵盖在部署AI集群时的机架级考虑因素。您将学习多系统AI集群的需求、存储和网络考虑事项，以及NVIDIA参考架构的概述，这些架构提供了为AI工作负载设计系统的最佳实践。 3. **数据中心级考虑 | NVIDIA培训** - 本单元探讨在部署AI集群时的数据中心级考虑因素，例如基础设施配置、工作负载管理、调度与作业管理、集群管理与监控工具，以及数据中心部署的供电和冷却考虑。最后，您将了解NVIDIA合作伙伴通过DGX-ready数据中心托管计划提供的AI基础设施。 4. **课程完成测验 - 数据中心人工智能入门** - 强烈建议您在开始测验之前完成所有课程活动。祝您好运！ 本课程不仅提供了AI在数据中心应用的基础知识，还深入探讨了实现AI解决方案所需的硬件和软件设施，为学员提供了实际操作的指导。
Name:Introduction to GPU Computing | NVIDIA Training
Description:In this module you will see AI use cases in different industries, the concepts of AI, Machine Learning (ML) and Deep Learning (DL), understand what a GPU is, the differences between a GPU and a CPU. You will learn about the software ecosystem that has allowed developers to make use of GPU computing for data science and considerations when deploying AI workloads on a data center on prem, in the cloud, on a hybrid model, or on a multi-cloud environment.
Name:Rack Level Considerations | NVIDIA Training
Description:In this module we will cover rack level considerations when deploying AI clusters. You will learn about requirements for multi-system AI clusters, storage and networking considerations for such deployments, and an overview of NVIDIA reference architectures, which provide best practices to design systems for AI workloads.
Name:Data Center Level Considerations | NVIDIA Training
Description:This unit covers data center level considerations when deploying AI clusters, such as infrastructure provisioning and workload management, orchestration and job scheduling, tools for cluster management and monitoring, and power and cooling considerations for data center deployments. Lastly, you will learn about AI infrastructure offered by NVIDIA partners through the DGX-ready data center colocation program.
Name:Course Completion Quiz - Introduction to AI in the Data Center
Description:It is highly recommended that you complete all the course activities before you begin the quiz. Good luck!
Welcome to the Introduction to AI in the Data Center Course! As you know, Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to improved supply chain management, AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do their life’s work. But how does AI work in a Data Center? What hardware and software infrastructure are needed? These are some of the questions that this course will help you address. Th
