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IoT Immersion: Experience the Professional AloT Platform

TESA
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In this lesson, you will take your first step into the world of AIoT (Artificial Intelligence of Things) through a structured approach, learning on a professional platform that seamlessly integrates IoT and AI technologies.

You will gain a solid understanding starting from the fundamentals of IoT device connectivity, data acquisition from sensors and cameras, to applying AI for building intelligent systems that can be used in real-world applications.

In addition, you will explore end-to-end solution development—from data collection and AI model creation to performing inference on edge devices, and visualizing results through an intuitive dashboard.

Whether you are a beginner or someone looking to expand your knowledge in AI and IoT, this lesson will provide you with a comprehensive understanding of AIoT systems and the confidence to apply them in real-world scenarios.

Course Benefits

1. Gain a solid foundation in AIoT (Artificial Intelligence of Things) concepts and architecture
2. Learn how to connect and manage IoT devices
3. Understand how to collect, process, and utilize real-world data effectively
4. Build and deploy AI models without complex coding using TESAIoT platforms
5. Explore real-world use cases in smart manufacturing and intelligent systems
6. Improve your ability to design scalable and practical AIoT applications

Courses Structure

Chapter 1: Introduction to IoT Immersion
    Course Trailer
    What's your benefit
    TESA Professional Tools
Chapter 2: Getting Started
    Environment Setup & Prerequisites for AIoT Platform (VSCode + Extensions)
Chapter 3: Interaction with TESAIoT Digital Twin Platform
    Visual 3D Model Interaction
    Real-World and Cyber-World Interaction
Chapter 4: Human Machine Display with TESAIoT Dev Kit
    HMI Menu & Setting
    Interactive with TESAIoT Dev Kit (Sensor Hub + 4.3" Display)
Chapter 5: Do your first app via TESAIoT Platform
    Device registration on TESAIoT Platform
    Get your own API Key
    Bring TESA Fullstack IoT working

Learning Hours

35 Hours

Staff

Mr. Sukonthee Sungkhun
Video Analytics Developer

Course Summary

  1. Course Number

    L001

  2. Classes Start

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