AIoT Fundamentals Training
Build real AIoT systems from sensors to insights. Learn how to collect, process, analyse, visualise, and act using real devices, edge processing, and the Favoriot Platform.
3-Day Hands-On Training
- Real devices and sensor data capture
- Raspberry Pi edge processing
- Machine learning basics for IoT
- Favoriot dashboard and analytics
- Alerts, actions, and operational monitoring
- HRDF claimable training
Many IoT projects collect data, but still fail to create decisions.
Sensors are installed. Dashboards are created. Data starts flowing. But after the demo, teams often struggle to turn that data into something useful, reliable, and operational.
Disconnected Learning
Many people learn sensors, coding, dashboards, and analytics separately. They never see how the full AIoT system works from end to end.
Dashboard Without Action
A dashboard may look impressive, but if it does not trigger decisions, alerts, or actions, it becomes just another screen to watch.
Prototype That Cannot Scale
Projects often work during presentation day but fail when deployed in real conditions due to poor data handling, weak troubleshooting, and unclear system design.
From sensor data to real AIoT decisions.
This training gives participants a clear path to build AIoT systems that do more than collect data. You will learn how to process, aggregate, analyse, visualise, and act.
Collect
Sensors and devices
Process
At the edge
Aggregate
Send to cloud
Analyze
AI and analytics
Visualize
Dashboards
Act
Alerts and actions
7 practical learning tracks for real-world AIoT solution building.
The training is designed to help participants move from basic understanding to complete system development using real tools and practical workflows.
IoT, Data and Favoriot Platform Basics
- IoT and Favoriot overview
- Sensor and edge data capture
- Understanding data flow from device to platform
Python and Machine Learning for IoT
- Python and data science basics
- Machine learning concepts for IoT
- Preparing IoT data for analysis
Raspberry Pi Setup and Model Deployment
- Raspberry Pi edge setup
- Model training and conversion
- Deploying models closer to the data source
Edge-to-Cloud Integration
- Edge inference pipeline
- Edge-to-cloud data transfer
- Machine learning tuning and troubleshooting
Advanced Model Training
- Model tuning and improvement
- Model evaluation for edge devices
- Debugging practical AIoT systems
Cloud Analytics and Solution Design
- Favoriot analytics and dashboards
- Cloud-based monitoring
- End-to-end AIoT solution design
Operational AIoT Monitoring and Maintenance
- Device monitoring and alerting
- System maintenance
- Remote management and operational dashboards
Key Takeaway
- Not just tools
- Learn how to build systems that work
- Move from data to decisions with AIoT
This training is built for people who want to create real AIoT systems.
Whether you are learning, teaching, building, or delivering IoT projects, this training helps you understand the complete flow from device to action.
Students and Researchers
Build complete AIoT projects for FYP, research, competitions, and practical learning.
Engineers and Developers
Master end-to-end development and move from testing to real systems.
System Integrators and Companies
Deliver projects faster with proven workflows and reduce trial-and-error.
Universities and Training Centres
Equip labs with industry-ready AIoT knowledge and practical skills.
Data alone is not the destination. Decisions are.
AIoT becomes powerful when sensor data is processed properly, analysed clearly, visualised meaningfully, and connected to real actions. That is what this training is designed to teach.
Register Favoriot Training NowWhat failure and success look like.
Failure Looks Like This
- Sensors are connected, but nobody trusts the data.
- Dashboards exist, but nobody acts on them.
- AI models are trained, but cannot run on real devices.
- The project works during demo day but fails in the field.
- The team cannot troubleshoot when something breaks.
Success Looks Like This
- Sensor data becomes clean, structured, and useful.
- Edge devices process information closer to the source.
- Favoriot dashboards tell a clear operational story.
- Alerts help teams respond faster.
- Your project moves from prototype to working AIoT system.
Start your AIoT journey with Favoriot today.
Join the 3-Day Hands-On Training: AIoT Fundamentals, Edge Processing and Data Aggregation with Favoriot Platform.
Register Favoriot Training Now
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