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Ai-Enabled Industrial Iot System Developer
A 4-day (32-hour) hands-on program that blends Industrial IoT engineering with AI-driven analytics and predictive control. Participants learn to design IIOT architectures, develop AI algorithms for sensor data analysis, and deploy smart systems using ESP32 controllers, Python machine learning libraries, and cloud platforms (ThingBoard, MATLAB ThinkSpeak). Through guided projects, learners build AI-enabled prototypes such as predictive maintenance systems and smart agriculture solutions. The capstone project integrates AI prediction models with IIOT gateways for real-time optimization and decision support — producing job-ready AIoT System Developers equipped to transform industrial operations and data-driven business models.
Open to students, graduates, technicians, and engineers in STEM, computer science, mechatronics, or related fields.
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Method
Hybrid
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Duration
4 Days
Trainocate (M) Sdn Bhd
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