MindBuilder.ai
EAI-300
Level 3
20 hoursQuarter-long · Networking + Deployment Labs

Linux Networking & Edge Deployment

Linux networking, sockets, monitoring, and packet analysis so Edge AI systems can communicate, stream, and operate reliably.

Course overview

Move from standalone devices to connected intelligent systems. Students learn Linux networking fundamentals, diagnostic tools, and communication pipelines needed to deploy and manage Edge AI services in the real world.

Core curriculum

Four themed modules. Each module is a working block of lessons and labs.

1Module 1

Linux Networking

Understand IP addressing, interfaces, routing, DNS, SSH, remote access, and service configuration for Jetson-based development.

2Module 2

Monitoring Tools

Use Linux networking tools such as ping, netstat, ss, ip, curl, wget, and traceroute to inspect and troubleshoot connectivity.

3Module 3

Packet Analysis

Learn packet sniffing and monitoring with tools like tcpdump and Wireshark to understand data flow, system behavior, and network security.

4Module 4

Deployment

Build workflows for remote management, streaming, data transfer, API access, and Edge AI application integration across devices.

What you'll gain

  • Confidence configuring Linux networking on Jetson
  • Diagnostic and troubleshooting fluency
  • Understanding of packet flow and Edge AI security basics
  • Repeatable remote-deployment workflows
Cohort enrollment open

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