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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/artificial-intelligence-and-networking
课程评论：没有评论
课程名称：数据平台、云网络与云中的人工智能 课程概述： 本课程旨在建立坚实的数据基础，并提供关于数据原理的工作知识，包括数据机制、数据库及其他数据处理的基础要素。课程将深入探讨数据管理的具体要素，包括数据的关系分类、数据生命周期、数据库基础以及数据处理与分析。同时，课程还将讲解人工智能（AI）在云数据中的相关性。 云网络部分涵盖网络概念、拓扑、设备类型和数据中心功能，并介绍关键的英特尔®网络产品及其特性。云中的人工智能模块将提升学习者指导客户选择基于英特尔人工智能的实例及来自主要云服务提供商（如Azure、AWS和GCP）的服务的能力。该模块将描述云AI的发展趋势，并总结主要云服务提供商的人工智能即服务（AI-as-a-Service）产品。此外，还将重点介绍客户在人工智能环境中使用英特尔架构所获得的具体好处，包括多个基于英特尔实例的终端用户成功案例。 课程大纲： 1. 数据平台课程：建立数据的基础知识，探讨数据管理要素及云中人工智能的相关性。 2. 云网络课程：网络概念、拓扑、设备类型及数据中心功能的介绍。 3. 云中的人工智能模块：帮助客户选择英特尔人工智能服务，理解云AI趋势及其优势。 整体而言，本课程为希望在数据、云网络和人工智能领域深化理解的学习者提供了宝贵的知识和实践经验。
Name:Data Platform, Cloud Networking and AI in the Cloud Module 1
Description:The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud. The Cloud Networking course covers network concepts, topology, types of devices and data center functions, with an introduction to key Intel® networking products and features. The AI in the Cloud module will improve the learner's ability to guide customers toward Intel Artificial Intelligence-based instances and services from the major cloud service providers, including Azure, AWS, and GCP. It will describe cloud AI trends and summarize the AI-as-a-Service offerings from the primary CSPs. Also covered will be a focus on specific benefits customers get from using Intel architecture in AI environments, including multiple end-user success stories using Intel-based instances.
Name:Data Platform, Cloud Networking and AI in the Cloud Module 2
Description:
Name:Data Platform, Cloud Networking and AI in the Cloud Module 3
Description:
The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud. The Cloud Networking course covers network concepts, topology, types of devices and data center functions, with an introduction to key Intel® networking products and features. The AI in the Cloud module will improve the learner's ability to guide customers toward Intel Artificial Intelligence-based instances and services from the major cloud service providers, including Azure, AWS, and GCP. It will describe cloud AI trends and summarize the AI-as-a-Service offerings from the primary CSPs. Also covered will be a focus on specific benefits customers get from using Intel architecture in AI environments, including multiple end-user success stories using Intel-based instances.
