IoT & Robotics · Advanced

Category 4 — Edge Intelligence & Computer Vision

Explore the world of Artificial Intelligence and Edge Computing through hands-on learning with the Raspberry Pi 4. This course introduces learners to Python programming, Linux fundamentals, OpenCV, TensorFlow Lite, YOLOv8, computer vision, image pro…

5 lessons

About this course

Explore the world of Artificial Intelligence and Edge Computing through hands-on learning with the Raspberry Pi 4. This course introduces learners to Python programming, Linux fundamentals, OpenCV, TensorFlow Lite, YOLOv8, computer vision, image processing, and edge AI, enabling intelligent systems that can analyze and respond to real-world visual data. Students work with cameras, sensors, and AI frameworks to develop applications such as face detection, object recognition, smart monitoring, and automated decision-making.

Learners progressively apply these concepts to develop an AI-Powered Edge Vision System as the capstone project, combining computer vision, machine learning, sensor data, and edge intelligence to solve real-world automation challenges.

Each lesson in this course includes clearly defined learning objectives, required components, hardware setup, program code, explanation of the working principle, and a practical demonstration link, enabling students to build, evaluate, and deploy intelligent edge AI applications.

Curriculum

1
4.1: Operating System Initialization & Headless Architecture Setup
Notes · 45 min
Free
2
4.2: Microprocessor Interfacing — GPIO Manipulation via Python
Notes · 45 min
Free
3
PRACTICAL 4.3: Protocol Telemetry — Interfacing Sensor Grids
Notes · 45 min
Free
4
PRACTICAL 4.4: Optical Device Calibration — Image Acquisition via OpenCV
Notes · 45 min
Free
5
PRACTICAL 4.5: Deep-Learning Object Detection at the Edge — TensorFlow Lite / LiteRT Integration
Notes · 45 min
Free
Category 4 — Edge Intelligence & Computer Vision
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LevelAdvanced
Lessons5
CategoryIoT & Robotics