Choose your path
IoT Learning Paths
Eight routes through the course catalog, each with prerequisites and a clear next step, so you can plan your learning instead of guessing.
A learning path is an ordered set of courses with a purpose. Each path below states who it is for, what you should already know and what to study next. You do not need to follow a path in full: stop wherever your goal is met.
Start with IoT Fundamentals
Complete beginners who want to understand what IoT is before touching hardware.
Prerequisites: No prior knowledge required. Basic computer use is enough.
Next: Move to Arduino to build your first working circuits.
Learn Arduino and ESP32
Students who want to build sensor-based devices and connect them to Wi-Fi.
Prerequisites: Basic electronics vocabulary helps; the fundamentals course covers the rest.
Next: Add MQTT and Node-RED to send device data to a live dashboard.
Learn Raspberry Pi and Python
Learners comfortable with basic programming who want gateways, edge devices and Linux-based IoT.
Prerequisites: Basic programming logic in any language.
Next: Combine gateway and cloud skills in the complete IoT development course.
Build Complete IoT Applications
Learners who want to take a project from sensor to cloud dashboard.
Prerequisites: Comfort with Arduino or ESP32 basics and simple Python or C/C++.
- ESP32, ESP8266 and Wireless IoT Training
- Complete IoT Development and Cloud Integration
- IoT Final-Year Project Training and Internship
Next: Apply the full stack in a documented project.
Explore Embedded Systems
Electronics and computer-science students who want firmware and microcontroller depth.
Prerequisites: Basic C programming and digital electronics concepts.
Next: Study communication stacks and low-power design.
Learn Industrial IoT
Diploma and engineering learners interested in factories, machines and monitoring.
Prerequisites: Basic electrical or electronics knowledge and an interest in automation.
Next: Study PLC and SCADA integration with IoT gateways.
Work on IoT Projects
Final-year and pre-final-year students who need a working, documented project.
Prerequisites: A project topic or willingness to choose one with guidance.
- IoT Final-Year Project Training and Internship
- Smart Home and Home Automation Training
- Smart Agriculture and IoT Automation
Next: Document the project with a report and demonstration plan.
Advance toward AIoT
Learners who already build IoT systems and want to add data analysis and edge intelligence.
Prerequisites: Python basics and an IoT project or course completed.
Next: Explore anomaly detection and predictive maintenance concepts.