Novel Cyber Physical Systems : Raspberry Pi, Arduino & AI
What you'll learn
- Fundamental concepts and principles of building novel cyber physical systems using Raspberry Pi, Arduino, and AI.
- Techniques for modeling cyber physical systems, including the use of finite state machines, algorithms, and computational models.
- Practical applications across various domains such as computer vision, language models, smart homes, cities, infrastructure, and agriculture.
- The essentials of systems engineering as applied to cyber physical systems, emphasizing integration and optimization.
- Hands-on experience with processors, microchips, sensors, actuators, and communication protocols crucial for CPS development.
- Insight into cybersecurity considerations and leveraging cloud technology in CPS implementations.
Requirements
- Knowledge in building cyber physical systems using Raspberry Pi and Arduino platforms integrated with AI.
- Skills in modeling CPS components and interfaces, critical for designing comprehensive CPS architectures.
Description
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 Components
Section 1.2: Introduction to Processors & Microchips
Section 1.3: Sensors & Actuators
Section 1.4: Communication
Section 1.5: Cyber Security & Cloud Technology
Section 1.6: Introduction to ARM Processors & Projects
Section 1.7: Consumer Electronics & Industrial Applications
Section 1.8: Cyber Physical Systems in the City
Section 1.9: CPS Applications for Mechatronics, Healthcare, EV & Robotics
Section 1.10: CPS Applications in the Automotive & Healthcare Sectors
Section 1.11: CPS Applications in Robotics
Chapter 2: Modelling Cyber Physical Systems
Section 2.1: Modelling Cyber Physical Systems
Section 2.2: Modelling Interfaces for Cyber-Physical System: Conversion, Networks & Complete CPS Model
Section 2.3: Modelling Cyber Components: Finite State Machines, Computations, Algorithms and a First CPS Model
Chapter 3: Practical Applications in Cyber Physical Systems
Section 3.1: Feasibility in Cyber Physical Systems
Section 3.2: Five CPS Applications in Computer Vision
Section 3.3: Five CPS Applications in Large Language Models
Section 3.4: Five CPS Applications in Smart Homes & Cities
Section 3.5: Five CPS Applications in Smart Infrastructure
Section 3.6: Five CPS Applications in Smart Agriculture
Who this course is for:
- University Students in Engineering Fields
- Professionals in Cyber Physical Systems Innovations
- Entrepreneurs & Innovators
- Professional who work in Railways, Aerospace, Space & Defense Industries
- Professionals with interest in Systems Engineering & Systems Integration
Instructor
- 3.1 Instructor Rating
- 13 Reviews
- 5,072 Students
- 8 Courses
Feras Naser is the founder of Feras Naser group, a large group of many innovation driven startups, as one of his core areas of expertise is transport. Feras is a civil engineer with a master degrees in MSc in railway systems. Feras is responsible for many transport novel solutions, including his voice enabled hand held inspection device (inspectro). Feras do publish frequently on various transport topics, recently he has published on the potential use of blockchain technologies in railway applications.
Feras recent research and consultancy work is about building novel transport solution and exploring recent advances in science and technology. This include wide range of domains including the usage of machine learning in railway applications, the possibility of using drones for delivery within cities, changes in micro-mobility and remote working environments. Feras has special interest in understanding the relations of transport history data and TRUST. Also, he has a special interest in providing new models of funding for public infrastructure through the exploitation of transport data. Specifically the usage of transport data to provide trust services.
Feras is considered one of the most knowledgeable railway systems consultants in the middle east region, he brings great experience in developing novel systems and building agile teams. He is responsible for the development of hack sprint methodology.