Tier 2 — Applied AI Engineering

Who This Is For

Developers with basic AI knowledge ready to build real deployments.

Core Tracks

• Model Serving (vLLM, Triton)
• Dockerized AI Environments
• Benchmarking & Telemetry
• Deterministic Reproducibility
• Dataset Lineage & Versioning
• Observability for AI Systems

Lab Modules

• Deploy a reproducible LLM benchmark
• Compare baseline inference performance
• Create a verifiable benchmark report

Example Courses

• Production Model Serving
• Deterministic Benchmarking & Validation
• GPU Memory Optimization
• AI Deployment Engineering

Outcome

Students can deploy production-ready AI systems with measurable performance.