This IoT and AI Integration Course is designed to provide a complete roadmap from the basics of IoT architecture to advanced AI-driven applications. Learners will explore how IoT devices collect and transmit data, how cloud platforms process it, and how Artificial Intelligence models enhance decision-making. With hands-on practice using tools like Arduino IDE, Raspberry Pi, MQTT, TensorFlow, and PyTorch, students will gain practical skills in IoT data acquisition, real-time processing, Edge AI optimization, and secure scalable deployments.
By the end of the course, participants will be able to design and develop real-world IoT + AI applications such as patient monitoring, weather forecasting, traffic analysis, and voice-enabled systems.
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