Lilly Tech Systems
Network Digital Twins
Create virtual replicas of your production network to simulate changes, run what-if scenarios, and validate configurations before deployment. Learn modeling, simulation, and implementation of digital twins powered by AI.
What You'll Learn
Master the art and science of building digital twins for network infrastructure.
Network Modeling
Build accurate digital representations of network topology, configurations, traffic patterns, and device behavior.
Simulation Engines
Run realistic simulations using tools like GNS3, Batfish, and custom AI-powered simulation frameworks.
What-If Analysis
Test configuration changes, failure scenarios, and capacity upgrades safely in your digital twin before production.
Implementation
Deploy and maintain digital twins that stay synchronized with your production network in real time.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Introduction
What are network digital twins? Understand the concept, business value, and how AI enhances traditional network simulation.
2. Modeling
Building network models: topology discovery, configuration extraction, traffic profiling, and behavioral modeling.
3. Simulation
Running simulations with GNS3, Batfish, and custom engines. Protocol verification, path analysis, and performance testing.
4. What-If Analysis
Testing change scenarios: link failures, device upgrades, traffic shifts, security policies, and migration planning.
5. Implementation
Deploying digital twins in production: data synchronization, model updates, integration with CI/CD, and operational workflows.
6. Best Practices
Maintaining model accuracy, scaling digital twins, organizational adoption, and measuring ROI of digital twin investments.
Prerequisites
- Solid understanding of network architecture and protocols
- Experience with network configuration and management
- Familiarity with simulation tools (GNS3, EVE-NG, or similar)
- Basic understanding of AI/ML concepts