Every track is strictly bifurcated: Level 0 targets executives and decision-makers with strategy, risk, and architecture. Level 1 targets engineers with hands-on implementation inside InteleQlass simulation labs.
Qiskit / Cirq circuit execution, hybrid quantum-classical algorithms, and enterprise optimization use cases.
Agentic AI pipelines, model quantization, and deployment on NVIDIA Jetson edge hardware.
Kinematics, sensor fusion, OpenUSD digital twins, and reinforcement learning in Omniverse.
Zero-trust architecture, Purdue Model ICS/OT segmentation, and live cyberattack defense simulations.
Harvest-Now/Decrypt-Later threat model, NIST ML-KEM & ML-DSA migration, crypto-agility, hybrid key exchange.
Client discovery, secure RAG pipeline deployments with OpenTelemetry observability in secure environments.