Internet of Things (IoT): Mastering AI-Embedded Switchless Kit with the Favoriot Platform

FAVORIOT NEWS | Building the Next Wave of IoT Talent

We’re genuinely excited to see how the Internet of Things continues to take root in Malaysia’s education ecosystem.

On 24–25 January 2026, a Training of Trainers (ToT) programme titled “Internet of Things (IoT): Mastering AI-Embedded Switchless Kit with the Favoriot Platform” is taking place at Politeknik Nilai, bringing together lecturers, researchers, and educators who are shaping the future of applied technology learning.

The programme is led by Ts. Nur Syuhada binti Mohamad from the Department of Information Technology & Communication (JTMK), Politeknik Ungku Omar (PUO), with active participation from lecturers and researchers from the Department of Mechanical Engineering, Politeknik Nilai.

At the heart of this ToT is hands-on exposure to an AI-Embedded Switchless Kit integrated with the Favoriot Platform, designed to help educators build real IoT projects that reflect what students will encounter beyond the classroom. Participants are not just learning concepts. They are working with real devices, real dashboards, and real data, exactly the kind of experience needed to teach IoT with confidence.

What makes this initiative especially encouraging is its collaborative nature. The kit itself is the result of research and development efforts by Politeknik Nilai, paired with the Favoriot IoT platform. This collaboration shows how institutions can work together to create practical teaching tools that bridge engineering, AI, and IoT in a meaningful way.

Beyond technical skills, the programme serves as a platform for knowledge transfer and capability building among educators. It strengthens teaching capacity in IR4.0, AI, and IoT, ensuring that lecturers are well-prepared to guide students using tools that mirror current industry practices.

From Favoriot’s perspective, initiatives like this matter. When educators are empowered, students benefit. When students gain hands-on experience early, they grow into confident builders, problem solvers, and innovators. This is how talent is shaped, not through theory alone, but through doing.

We look forward to seeing the ripple effects of this training in future student projects, research efforts, and IoT-driven solutions. This is exactly the kind of momentum needed to grow a strong, industry-ready IoT talent pipeline for Malaysia.

Here’s to educators who lead by learning, and to students who will soon build on what starts here.

[Foto Kredit: Jabatan Teknologi Maklumat & Komunikasi, PUO ]