Internet of Things and AI Cloud Specialization Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This specialization provides a comprehensive introduction to the Internet of Things (IoT) and AI cloud technologies, blending theoretical knowledge with hands-on project development. Over approximately 11.5 weeks, learners engage in practical exercises using Arduino and Raspberry Pi platforms, progressing from foundational concepts to building end-to-end IoT applications. The course is designed for learners with basic technical interest and includes programming, sensor integration, cloud connectivity, and a capstone project. Estimated total time: 55–60 hours.
Module 1: Introduction to the Internet of Things and Embedded Systems
Estimated time: 15 hours
- Overview of IoT and connected devices
- Components of an IoT system
- Embedded systems fundamentals
- Societal and industrial impact of IoT
Module 2: The Arduino Platform and C Programming
Estimated time: 20 hours
- Introduction to the Arduino platform
- Basics of C programming for microcontrollers
- Writing and uploading code to Arduino
- Hands-on examples with basic circuits
Module 3: Interfacing with the Arduino
Estimated time: 20 hours
- Connecting sensors to Arduino
- Reading input from sensors
- Controlling actuators with Arduino
- Testing and debugging sensor-actuator circuits
Module 4: The Raspberry Pi Platform and Python Programming
Estimated time: 20 hours
- Introduction to the Raspberry Pi
- Python programming for system control
- Data processing on Raspberry Pi
- Running Python scripts on Pi hardware
Module 5: Interfacing with the Raspberry Pi
Estimated time: 20 hours
- Establishing IoT connectivity with Raspberry Pi
- Image capture and processing using Pi camera
- Sending data to the cloud
- Remote access and control via network
Module 6: Programming for the Internet of Things Project
Estimated time: 25 hours
- Design and build a functional IoT system
- Integrate sensor data collection and processing
- Deploy application using Arduino and Raspberry Pi
Prerequisites
- Familiarity with basic programming concepts
- Access to Arduino and Raspberry Pi hardware kits (purchased separately)
- Basic understanding of electronics and circuits
What You'll Be Able to Do After
- Explain the core concepts of IoT and embedded systems
- Program microcontrollers using C on the Arduino platform
- Use Python to control and process data on Raspberry Pi
- Interface sensors and actuators with microcontrollers
- Build and deploy a complete IoT application