Gain a comprehensive understanding of IoT architecture and its components, enhancing your marketability in tech jobs.
Learn how data flows in IoT systems, helping you design better IoT solutions or improve existing ones.
Stay updated on emerging trends and technologies in IoT, preparing you for future advancements in the industry.
This module introduces the basic concepts of IoT including its definition, historical evolution, and the ecosystem components that comprise typical IoT systems. Learners will gain a contextual overview necessary for understanding more complex topics later. The module sets the stage for exploring IoT architecture by breaking down core ideas and frameworks referenced in popular literature. What Is IoT? History and Evolution IoT Architecture Overview
This module examines the physical devices and sensors that act as the entry points for data into IoT systems. It explains various device types, how sensors work, and the protocols they use to communicate. Learners will appreciate the critical role of edge processing and gain insights into practical applications and challenges discussed in popular IoT literature. Types of Edge Devices Sensor Technologies Communication Protocols at the Edge
This module focuses on the function of IoT gateways in aggregating and preprocessing data from devices. It discusses how gateways facilitate communication, provide security, and optimize data flow towards cloud systems. Learners will be exposed to the design challenges and practical solutions for managing data traffic in modern IoT networks, with references to strategies outlined in industry literature. Gateway Functions and Roles Edge Computing and Data Preprocessing Security and Reliability in Gateway Design
This module dives into the cloud segment of IoT architectures, exploring how data is transmitted from devices and processed in the cloud. It explains integration techniques, data pipelines, analytics, and decision-making processes used by cloud services. By bridging concepts from edge and gateway modules, learners will have a comprehensive view of the data lifecycle in IoT systems as advocated in reference texts. Overview of Cloud IoT Platforms Data Pipelines and Processing Analytics and Decision Making
This concluding module wraps up the course by addressing security challenges and scalability solutions crucial for sustainable IoT systems. It also discusses future trends and innovations shaping the evolution of IoT architectures. Learners will integrate their acquired knowledge to appreciate best practices and anticipate upcoming changes as discussed in expert texts and industry resources. Security in IoT Systems Scalability and Performance Emerging Trends and Future Directions
Interactive learning through real-time Q&A with an AI assistant.
In-depth modules with practical examples from the industry.
Flexible learning schedule to fit your lifestyle.
Focus on critical IoT components and their interconnections.
Feedback mechanisms to ensure comprehension of key concepts.
Exploration of emerging trends shaping the future of IoT.