Building and Scaling LLM Infrastructure

Master the architecture behind high-performance model serving while learning to bridge the gap between small-scale deployments and robust, enterprise-ready AI systems designed for security and scale. * **Deploying scalable inference engines** using vLLM and TGI * **Designing low-latency architectures** for high-throughput AI applications * **Implementing secure model serving** with robust access controls * **Optimizing GPU resource allocation** for cost-effective infrastructure

3 sections ยท 5 lessons

Course outline

Lab Infrastructure

  1. Compute Clusters
  2. Model Parallelism

Serving Strategy

  1. Inference Engines
  2. Latency Optimization

System Security

  1. Gateway Defense

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