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所在平台: Udemy |
课程主页: https://www.udemy.com/course/certified-iot-expert-course/
课程评论：没有评论
课程名称：物联网认证专家课程 课程概述： 该课程将涵盖以下内容： 1. 物联网 (IoT) 的定义、优缺点及其面临的挑战。 2. 物联网架构与设计，包括组成部分、层级架构及物联网中间件。 3. 物联网协议，包括协议描述、通信协议、数据链路协议、网络层协议、传输层协议和应用层协议。 4. 云与物联网的关系，内容包括云的基本信息、主要云服务提供商、边缘计算、雾计算和网格计算。 5. Raspberry Pi 和 Arduino 的介绍，包括Arduino的描述、不同类型的Arduino板、Raspberry Pi的描述、不同型号的Raspberry Pi以及两者比较。同时也会涉及一些使用传感器和接口开关的项目，如MQTT、COAP消息传递以及Raspberry Pi与Arduino的协调。 6. 远程监控解决方案 (RMS)。 7. 针对物联网认证课程的测验（选择题）。 课程特点： 虽然物联网的理念存在已久，但近年来多种技术的进步使其应用变得切实可行，包括低成本、低功耗的传感器技术、丰富的网络协议、云计算平台的发展、机器学习和分析技术的进步，以及对话式人工智能的进展，这些都推动了物联网的发展及其在实际生活中的应用。此课程旨在为学生提供全面的物联网知识，帮助他们掌握这一领域的最新技术与实践。
This course will cover below mentioned details1. IOTIOT definitionsAdvantages and disadvantageschallenges of IOT2. IOT Architecture and Design - Components- Layer Architecture- Middleware of IOT3. Internet of things protocolsIOT Protocols descriptionCommunication ProtocolData Link ProtocolNetworking Layer ProtocolsTransport Layer ProtocolApplication Layer Protocol4. Cloud and IOTa. Cloud detailsb. Major Cloud service providersc. Edge Computingd. Fog Computinge. Grid Computing5. Raspberry Pi and Arduino1. Arduino Description2. Arduino Boards Types3. Raspberry Pi description4. Raspberry Pi Models5. Raspberry Pi and Arduino comparison 6. Raspberry Pi and Arduino project• Uses of sensor • Use interface switches• MQTT,COAP Messaging• Raspberry and Arduino Pi coordination 6. Remote Monitoring Solution (RMS) 7. Quiz ( MCQ) on IOT Certified course• While the idea of IoT has been in existence for a long time, a collection of recent advances in a number of different technologies has made it practical.• Access to low-cost, low-power sensor technology. Affordable and reliable sensors are making IoT technology possible for more manufacturers.•Connectivity. A host of network protocols for the internet has made it easy to connect sensors to the cloud and to other "things" for efficient data transfer.•Cloud computing platforms. The increase in the availability of cloud platforms enables both businesses and consumers to access the infrastructure they need to scale up without actually having to manage it all.•Machine learning and analytics. With advances in machine learning and analytics, along with access to varied and vast amounts of data stored in the cloud, businesses can gather insights faster and more easily. The emergence of these allied technologies continues to push the boundaries of IoT and the data produced by IoT also feeds these technologies.•Conversational artificial intelligence (AI). Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.
