Scaling LLM Applications and Infrastructure

Master the technical foundations of high-volume AI systems to bridge the gap between product strategy and robust data infrastructure for sustainable growth. * **Architect scalable data pipelines** for high-volume AI workloads * **Optimize infrastructure cost** and latency for production deployments * **Evaluate model orchestration** tools for complex agentic workflows * **Implement robust monitoring** for performance and output quality

2 sections ยท 4 lessons

Course outline

LLM Scaling

  1. Inference Optimization
  2. Context Management
  3. LLM Scaling

Data Infrastructure

  1. Pipeline Resilience
  2. Vector Databases

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