Edge Computing
Course Index
28 Lessons · 3 Sections
Master edge computing — Docker on ARM, K3s Kubernetes, TinyML, TensorFlow Lite, ONNX Runtime, and NVIDIA Jetson. Covers Industrial IoT, 5G MEC, predictive maintenance & 3 production edge builds.
28Lessons
3Sections
3Projects
FreeAccess
Section 1Edge Fundamentals, Hardware & InfrastructureLessons 1–10
Lesson 1
What is Edge Computing?
Lesson 2
Edge vs Cloud vs Fog Computing
Lesson 3
Edge Computing Architecture
Lesson 4
IoT Edge Devices & Gateways
Lesson 5
Edge Hardware: Jetson & RPi AI Hat
Lesson 6
Latency, Bandwidth & RTT
Lesson 7
Protocols: MQTT & Kafka
Lesson 8
Time Synchronisation at the Edge
Lesson 9
Docker at the Edge
Lesson 10
Kubernetes at the Edge: K3s
Section 2TinyML, Edge AI & Industrial ApplicationsLessons 11–22
Lesson 11
Edge Data Storage: Key-Value Stores
Lesson 12
TinyML: ML on Edge Devices
Lesson 13
TensorFlow Lite at the Edge
Lesson 14
ONNX Runtime for Edge Inference
Lesson 15
Computer Vision at the Edge
Lesson 16
Edge AI: NVIDIA Jetson
Lesson 17
Predictive Maintenance at the Edge
Lesson 18
Industrial IoT & Industry 4.0
Lesson 19
5G & Edge Computing
Lesson 20
Edge Computing Security
Lesson 21
Multi-Access Edge Computing (MEC)
Lesson 22
Open Horizon & Eclipse IoT
Section 3Advanced Use Cases & ProjectsLessons 23–28