5.00
(3 Ratings)

Internet of Things and Cloud Computing

Categories: IT
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About Course

Cloud Computing and IoT: Architecture, Integration, and Data Analytics

This course provides a comprehensive, hands-on understanding of Cloud Computing fundamentals and the Internet of Things (IoT). Students will master the core building blocks of cloud infrastructure (e.g., Hypervisor, VMs) and explore how physical-world devices are becoming actionable via Internet and Web technologies. The course emphasizes the design, deployment, and security of integrated Cloud-IoT solutions, preparing students to manage and analyze massive streams of real-time data.

What Will You Learn?

  • Master the fundamentals of Cloud Service Models (IaaS, PaaS, SaaS) and cloud architecture.
  • Understand the key IoT Communication Protocols (MQTT, CoAP) and device management strategies.
  • Develop and deploy IoT applications using cloud platforms like AWS IoT or Azure IoT Hub.
  • Implement advanced techniques for Real-Time Data Analytics and Machine Learning integration with IoT data.
  • Analyze and address complex Security and Privacy challenges in both cloud infrastructure and connected IoT devices.
  • Explore advanced topics including Edge Computing and its application in industrial and smart environments.

Course Content

Module 1: Cloud and IoT Foundations
This module lays the groundwork by introducing the essential concepts of Cloud Computing and the Internet of Things. Students will differentiate between service models (IaaS, PaaS, SaaS) and explore the fundamental architectures and protocols that enable communication and infrastructure management in both domains.

  • Introduction to Cloud Computing and IoT
    02:42
  • Cloud Computing and IoT Fundamentals Quiz
  • Cloud Computing Fundamentals and Models
    06:43
  • Quiz: Cloud Computing Fundamentals
  • IoT Protocols and Architectures
    11:47
  • Quiz: IoT Protocols and Architectures
  • PRELIMINARY EXAMINATION

Module 2: Cloud-Integrated Applications and Security
This module moves beyond concepts to practical implementation, focusing on developing IoT applications using cloud services, integrating advanced data analytics, and addressing the critical security and privacy challenges inherent in Cloud-IoT systems.

Module 3: Infrastructure Management
This module concentrates on the architectural and administrative aspects of managing large-scale IoT systems, from device provisioning to implementing distributed computing solutions using Edge technologies.

Applications and Future Trends
The final module synthesizes the course knowledge through real-world case studies and industry applications. It concludes with an overview of future trends and a focus on managing the final stages of an IoT project, including testing and presentation.

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Student Ratings & Reviews

5.0
Total 3 Ratings
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3 Ratings
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3
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Michelle Bulahan
3 hours ago
very helpful and easy lessons
MC
Marc Cortes
1 day ago
The course materials were very accessible and engaging. I found that the lessons effectively reinforced my existing knowledge while introducing several new concepts that broadened my perspective on the subject
Neil Jhonreise Vallecer
Neil Jhonreise Vallecer
1 day ago
Course materials are easy to understand and fun to learn.
My previous knowledge have been reinforced from some new things that I learned with this course.

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