The Internet of Things (IoT) Advanced Certification Course is designed to provide in-depth knowledge and hands-on experience in building smart, connected systems that drive modern digital transformation. This course covers advanced IoT concepts, including IoT architecture, device connectivity, data analytics, cloud integration, security protocols, and edge computing. Participants will gain practical skills in designing, deploying, and managing IoT solutions using real-world projects and industry-standard tools. By the end of the program, learners will be equipped to create intelligent IoT ecosystems, optimize device performance, and leverage IoT data for actionable insights, preparing them for high-demand roles in industries such as smart homes, healthcare, manufacturing, and transportation.
Module 1: Introduction to IoT and Its Ecosystem Overview of IoT and its applications IoT architecture and components IoT communication models and protocols Market trends and future of IoT.
Module 2: Embedded Systems and Microcontrollers Introduction to Arduino, Raspberry Pi, and ESP32 Programming microcontrollers using C/C++ and Python Interfacing sensors and actuators Power management and hardware considerations.
Module 3: IoT Communication Protocols MQTT, CoAP, HTTP, and REST APIs Wireless communication: Wi-Fi, Bluetooth, Zigbee, LoRa Data transmission techniques and message queuing Protocol selection for different applications.
Module 4: IoT Cloud Platforms Overview of AWS IoT, Azure IoT, and Google Cloud IoT Device provisioning and management Data storage, analytics, and visualization Cloud integration with edge devices.
Module 5: Data Analytics for IoT IoT data collection and preprocessing Real-time analytics and event detection Data visualization using Grafana, Power BI, and Tableau IoT dashboards for monitoring and decision-making.
Module 6: Edge and Fog Computing Introduction to edge and fog computing Deploying analytics on edge devices Optimizing data flow and reducing latency Edge frameworks: EdgeX Foundry, ThingsBoard.
Module 7: IoT Security and Privacy Security challenges in IoT networks Encryption, authentication, and secure communication Vulnerability assessment and threat mitigation Regulatory standards and compliance.
Module 8: IoT Project Design and Implementation Requirement analysis and system design End-to-end IoT solution architecture Integration of sensors, devices, and cloud Prototyping and simulation techniques.
Module 9: Advanced IoT Applications Smart homes and smart cities nIndustrial IoT and predictive maintenance Healthcare IoT and wearable devices Agriculture and logistics IoT solutions.
Module 10: Capstone Project and Industry Case Studies Real-world IoT project development Hands-on deployment of a complete IoT solution Problem-solving using IoT tools and techniques Case studies of successful IoT implementations.
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Email: coursedivine@gmail.com
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