Edge AI Ecosystem
Learn Edge AI: Real-Time Intelligent Systems Curriculum
Master Edge AI from foundations to deployment using Linux platforms, accelerators, computer vision workflows, and robotics-grade autonomy systems.
Curriculum Modules
Edge AI Learning Architecture
Intelligence Foundations
Core Concepts for Edge Intelligence
- AI basics
- AI vs ML
- Deep learning
- What is Edge AI
- Why Edge AI matters
- TinyML to Edge AI bridge
- Cloud AI vs Edge AI
Software Engine
Programming and System Operations
- Python
- C++
- Linux basics
- Git
- Shell basics
Edge Hardware Ecosystem
Platforms and Accelerators
- Raspberry Pi
- Jetson Nano
- Coral TPU
- Cameras and sensors
- GPU / NPU / TPU concepts
Deep Learning Framework
Model Development Stack
- CNNs
- TensorFlow
- PyTorch
- ONNX
- TensorFlow Lite
Computer Vision Core
Perception Pipeline Fundamentals
- OpenCV
- Image processing
- Object detection
- Tracking
- Video analytics
Deployment Systems
Performance and Runtime Engineering
- Raspberry Pi deployment
- Jetson deployment
- TensorRT
- Optimization
- Real-time systems
Robotics + Autonomy
Edge AI in Autonomous Systems
- ROS
- SLAM intro
- Drones
- Smart surveillance
- Autonomous devices
Expert Edge Systems
Domain-Level Mastery Tracks
Industrial AI
Healthcare AI
Robotics
Smart cities
Autonomous systems
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