1 to 2 Months
Online + Offline
15 Students Only Batch Size
Anyone
Beginner to Advanced Training
Definition of IoT: Explanation of what the Internet of Things (IoT) is. Highlighting the interconnected nature of devices. Purpose of IoT: Identifying the goals and objectives of implementing IoT. Illustrating how IoT enhances efficiency and connectivity. Device Connectivity: Overview of how physical devices establish connections to the internet. Examples of common communication methods in IoT.Components of IoT Systems: Identification and explanation of key components. Discussing the roles of sensors, actuators, and communication devices. Device Interaction: Understanding how devices communicate within an IoT system. Exploring the role of connectivity protocols like MQTT and HTTP. Data Processing in IoT: Breakdown of the data processing aspect within IoT. Discussing how data generated by devices is processed for meaningful insights.
Edge Computing vs. Cloud Computing: Understanding the fundamental distinction between edge computing and cloud computing in the context of IoT. Exploring where data processing occurs and its implications on latency and bandwidth. Analyzing IoT Data: Basics of how data generated by IoT devices is analyzed. Discussing methods for extracting insights and actionable information from the data. IoT Security: Foundational Security Principles: Core principles for securing IoT devices. Highlighting the importance of a secure foundation for IoT implementations. Authentication and Encryption: Examining the critical role of authentication in IoT security. Understanding the need for data encryption to protect information integrity. Secure Updates: Exploring the significance of secure updates in maintaining device security. Ensuring that devices receive and implement updates without compromising security. IoT Platforms: Major IoT Platforms Overview: Brief overview of prominent IoT platforms. Discussing features and capabilities of AWS IoT, Azure IoT, and Google Cloud IoT.
Data Processing in IoT: Difference between Edge computing and Cloud computing. Basics of analyzing and acting on IoT data. IoT Security: Foundational principles of securing IoT devices. Covering authentication, encryption, and secure updates. IoT Platforms: Overview of major IoT platforms like AWS IoT, Azure IoT, and Google Cloud IoT.
Introduction to IoT Development Tools: Arduino: Overview of Arduino as a popular IoT development tool. Introduction to its capabilities and applications in IoT projects. Raspberry Pi: Introduction to Raspberry Pi for IoT development. Understanding its features and suitability for various IoT applications. IoT Project Development: Practical Steps for IoT Projects: Sequential guide on how to approach building an IoT project. Covering key considerations and decision-making processes. Setting Up Sensors: Understanding the selection and deployment of sensors in an IoT project. Practical steps for ensuring accurate sensor data collection. Communication Setup: Basics of setting up communication channels in IoT projects. Exploring connectivity options and protocols for seamless communication. Data Processing: Practical steps for processing data generated by IoT devices. Implementing efficient data processing techniques in an IoT co
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