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所在平台: Udemy |
课程主页: https://www.udemy.com/course/novel-cyber-physical-systems-raspberry-pi-arduino-ai/
课程评论：没有评论
课程总结：新颖的网络物理系统：树莓派、Arduino与人工智能 本课程旨在深入探讨新颖的网络物理系统（CPS），特别是如何利用树莓派、Arduino和人工智能技术进行创新。课程适合学生、工程师和企业家，帮助他们掌握硬件、软件与人工智能的整合，从而创建前沿的CPS应用。 课程内容分为三个主要章节： 第一章：网络物理系统的构建与基础组件 - 介绍处理器与微芯片、传感器与执行器等基本组件。 - 探讨网络安全与云技术的影响。 - 讨论网络物理系统在城市、消费电子、工业应用、医疗保健、电动汽车及机器人等领域的实际应用。 第二章：网络物理系统建模 - 详细讲解网络物理系统的建模方法。 - 涉及有限状态机、计算、算法和第一款CPS模型的建模接口。 第三章：网络物理系统中的实用应用 - 分析网络物理系统在计算机视觉、大语言模型、智能家居与城市、智能基础设施和智能农业等领域的五个具体应用案例。 - 关注CPS的可行性，推动学生通过实际项目加深对理论的理解。 通过理论与实践相结合的学习方式，参与者将不仅掌握网络物理系统的基本概念和组件，还将提升集成与部署CPS的能力。课程结束后，学员将具备在医疗、机器人、汽车等多个行业中应对复杂挑战并推动技术进步的综合技能。
Embark on a journey into the realm of Novel Cyber Physical Systems (CPS) with our comprehensive course designed for students, engineers, and entrepreneurs eager to innovate using Raspberry Pi, Arduino, and AI technologies. This course serves as a gateway to mastering the integration of hardware, software, and artificial intelligence in creating cutting-edge CPS applications. Through a blend of theoretical foundations and practical hands-on projects, participants will delve into the intricacies of modeling, engineering, and deploying CPS across diverse domains.Beginning with an exploration of fundamental components such as processors, microchips, sensors, and actuators, learners will grasp the foundational elements essential for CPS development. They will gain proficiency in leveraging Raspberry Pi and Arduino platforms, learning to integrate AI for enhanced functionality and autonomy. The course progresses to cover advanced topics including modeling CPS using finite state machines, algorithms, and computational models, equipping students with the tools to architect robust CPS solutions.Practical application forms a core component of the curriculum, with deep dives into CPS deployments in computer vision, smart homes, cities, infrastructure, agriculture, and more. Students will not only understand the theoretical underpinnings but also apply their knowledge through hands-on projects that simulate real-world scenarios. Additionally, cybersecurity considerations and the role of cloud technology in CPS are explored, ensuring participants are equipped to design secure and scalable systems.By the end of this course, participants will emerge with a comprehensive skill set in building, modeling, and deploying novel CPS using Raspberry Pi, Arduino, and AI technologies. Whether aiming to innovate within industries like healthcare, robotics, automotive, or beyond, graduates will be primed to tackle complex challenges and drive technological advancements in the field of cyber physical systems.Chapter 1: Introduction to Building Novel Cyber Physical Systems- Main ComponentsSection 1.2: Introduction to Processors & MicrochipsSection 1.3: Sensors & ActuatorsSection 1.4: CommunicationSection 1.5: Cyber Security & Cloud TechnologySection 1.6: Introduction to ARM Processors & ProjectsSection 1.7: Consumer Electronics & Industrial ApplicationsSection 1.8: Cyber Physical Systems in the CitySection 1.9: CPS Applications for Mechatronics, Healthcare, EV & RoboticsSection 1.10: CPS Applications in the Automotive & Healthcare SectorsSection 1.11: CPS Applications in RoboticsChapter 2: Modelling Cyber Physical SystemsSection 2.1: Modelling Cyber Physical SystemsSection 2.2: Modelling Interfaces for Cyber-Physical System: Conversion, Networks & Complete CPS ModelSection 2.3: Modelling Cyber Components: Finite State Machines, Computations, Algorithms and a First CPS ModelChapter 3: Practical Applications in Cyber Physical SystemsSection 3.1: Feasibility in Cyber Physical SystemsSection 3.2: Five CPS Applications in Computer VisionSection 3.3: Five CPS Applications in Large Language ModelsSection 3.4: Five CPS Applications in Smart Homes & CitiesSection 3.5: Five CPS Applications in Smart InfrastructureSection 3.6: Five CPS Applications in Smart Agriculture
