FAVORIOT
IOT TRAINING
The trainings have been designed for any IoT enthusiasts to obtain the
knowledge and apply it in the real-world implementations.
It is designed for participants to learn progressively.
Curriculum Roadmap & Learning Paths
A progressive learning pathway designed to guide participants from foundational IoT principles to enterprise AIoT implementation.
IoT Fundamentals with Favoriot
Learn IoT device hardware, API integration, REST/MQTT protocols, and building interactive dashboards.
- Module 1: Introduction to the Internet of Things & Ecosystem
- Module 2: IoT Devices, Sensors & Communication Challenges
- Module 3: IoT Platform Categories, Security & Computing Types
- Module 4: Favoriot 5-Tier Data Hierarchy (Projects, Apps, Groups, Devices, Streams)
- Module 5: Arduino IDE Installation & Simple Device Programming
- Module 6: API Simulation via Postman, REST & MQTT
- Module 7: Interfacing Hibiscus Sense Kit to Favoriot Platform
- Module 8: Creating Rules, Telegram Bot Alerts & Webhooks
- Module 9: Protocol Deep Dive: REST, MQTT & CoAP
- Module 10: Dashboard Creation, Custom Widgets & Actuator Triggering
Advanced IoT with Favoriot
Master edge gateway deployment, Node-RED flows, and custom web application integration.
- Module 1: IoT Gateway Environment Setup & Configuration
- Module 2: Node-RED Visual Flow Editor Programming
- Module 3: Gateway Interfacing via Wi-Fi, Bluetooth, TCP, UDP & Serial
- Module 4: Gateway-to-Favoriot Data Ingestion (REST, MQTT, CoAP)
- Module 5: Building an IoT Web Application with Historical Analytics
- Module 6: Security & Privacy Risk Mitigation for IoT Deployments
AIoT Fundamentals & Decision Intelligence
Bridge IoT telemetry with AI predictive analytics and automated decision workflows.
- Module 1: Strategic Intent, ADF Methodology & Problem Mapping
- Module 2: Data Foundations, Device Ingestion & Reliability Checks
- Module 3: Visual Awareness & Descriptive Favoriot Insights
- Module 4: Behavioral Analysis, Pattern Recognition & Diagnostics
- Module 5: Future Forecasting & Machine Learning Workflows
- Module 6: Intelligent Action Logic & Rule Engine Automation
Mastering AIoT - Theory to Practice
Deploy edge AI models on Nvidia Jetson Nano and run neural network telemetry analytics.
- Module 1: AI & IoT Ecosystem Integration Overview
- Module 2: Favoriot Data Acquisition & Sensor Pipeline Setup
- Module 3: Nvidia Jetson Nano Hardware & Linux Essentials
- Module 4: Machine Learning Basics (Scikit-Learn & Jupyter Notebook)
- Module 5: Neural Networks, CNNs & Keras Model Building
- Module 6: Edge Computing Implementation on Jetson Nano
- Module 7: ML Telemetry Analysis & Data Visualization
- Module 8: Edge Model Deployment & Performance Optimization
Robotics Internet of Things (RIoT)
Assemble and control Robo Pico kit with Raspberry Pi Pico W connected to Favoriot.
- Module 1: Introduction to Robotics & Electronics Components
- Module 2: Favoriot Platform Dashboard & Robo Pico Rules Engine
- Module 3: Robo Pico Kit Assembly & Raspberry Pi Pico W Setup
- Module 4: Thonny IDE & CircuitPython Sensor Programming
- Module 5: Wheel Movement Control & Data Streaming via REST/MQTT
- Module 6: Step-by-Step Hands-On RIoT Project Development
- Module 7: Entrepreneurship, Branding & RIoT Business Strategy
IoT for Business Professionals
Fast-paced executive program for business leaders to leverage IoT for digital transformation.
- Module 1: History, Core Concepts & Digital Transformation Impact
- Module 2: Exploring the 7Ms of Business Benefiting from IoT
- Module 3: Practical Problem Solving & Critical Success Data
- Module 4: Lessons Learned from Global Successful IoT Projects
- Module 5: Outcome-Based Revenue Streams & Business Models
- Module 6: Building an IoT Business Model Canvas
- Module 7: Spotting IoT Opportunities & Organizational Readiness
- Module 8: Actionable IoT Enterprise Checklist
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