Favoriot Conducts Mastering AIoT Training for Monash University Malaysia Staff

Petaling Jaya, 26 June 2025 — Favoriot successfully delivered its Mastering AIoT (Artificial Intelligence + Internet of Things) training for the staff of Monash University Malaysia, held from 23–26 June 2025 at the university’s Computer Lab. As one of Favoriot’s trusted education partners, Monash University Malaysia continues to strengthen its expertise in advanced digital technologies through this collaboration.

The four-day programme provided participants with an in-depth understanding of how to integrate AI models with IoT systems using the Favoriot platform. Staff members learned to work with real-time sensor data, apply predictive analytics, automate decision-making processes, and design intelligent alert systems for complex applications. The training included practical exercises on building AIoT dashboards, deploying smart algorithms, and managing large-scale device networks.

Participants shared that the programme gave them a clear roadmap on how to bridge IoT and AI for smart campus projects, research innovation, and industry collaborations. Many noted that hands-on experience with Favoriot’s platform boosted their confidence in developing AIoT solutions that can address real-world challenges in areas such as smart facilities, environmental monitoring, and energy management.

This initiative reinforces Favoriot’s commitment to empowering educational institutions with cutting-edge skills that support Malaysia’s digital and AI ambitions.

More details about Favoriot’s training offerings can be found at: https://www.favoriot.com/iot-training

Testimonials

🌟 Nur Hazliza Ariffin (MUM)

“4 days productive training of “MASTERING AIOT (AI & IOT) – FROM THEORY TO PRACTICE”

🌟 Julian Tan Kok Ping (Monash University)

“The training provided an in-depth and practical understanding of AIoT, with a strong focus on real-world applications of AI using NVIDIA Jetson. It was an excellent hands-on experience that deepened my knowledge in deploying AI at the edge.“

🌟 Ho Kok Hoe (Monash University Malaysia)

“(1) Lots of hands-on exercise. (2) Integrate hardware provided for training and practice in AI, ML and Deep Learning“

🌟 Muzaiyanah Hidayab (Monash University)

“This training really taught me a lot about machine learning and how to use it along with the Favoriot IoT Platform and NVIDIA Jetson.”

🌟 Khong Yin Jou (Monash University Malaysia)

“The trainers are very well-versed in the technical subjects they were teaching. They are also very friendly and approachable, and it is extremely easy to discuss the subject being taught, as well as other topics relevant to the training, which were not explicitly covered. The content covered was comprehensive in both depth and breadth, providing a thorough exposure to ML, AI, and IoT technologies for a relative beginner. The hands-on activities were well-prepared and well-guided, ensuring sufficient engagement and experience for the trainees. Overall, the program is well done, would recommend to anyone interested in the topic.”