02 - Course
Design &
Development of LLMs
Engineering large-scale language systems for production environments
Focus
Systems design &
infrastructure
Level
Engineers /
Advanced
Scope
Hardware, kernels,
distributed systems
Outcome
Reason LLM performance
kernel to cluster
Master the Foundations
Systems Territory
Three engineering domains for production-scale language models.
LLM Training & Inference Pipelines
Design complete data flows from raw datasets through training loops to production inference endpoints.
Distributed Execution Stacks
Master CUDA kernels, memory hierarchies, and multi-GPU communication patterns for maximum throughput.
LLMOps Systems
Build monitoring, deployment, and scaling infrastructure that maintains performance under production load.
Perspective Transformation
Design Shift
FROM
Models
TO
Full-Stack Systems
Build complete systems where models are one component in distributed infrastructure designed for reliability and scale.
FROM
Experiments
TO
Production Architectures
Deploy systems engineered for production workloads with predictable performance and operational requirements.
GET STARTED
Ready for the next level?
Continue your learning journey with the next course in the series, or explore all training programs to find what fits your needs.