FX-L4ALevel 4 of 45 modules
Go beneath the API. Fine-tune open models, serve them efficiently, and run the operational discipline (FMOps) that keeps foundation-model systems fast, safe, and affordable at scale.
PyTorchHugging FacevLLMWeights & Biases
What you'll be able to do
Fine-tune open-weight models with LoRA and QLoRA
Serve models efficiently with quantization and batching
Design FMOps pipelines: versioning, evals, rollout, rollback
Optimize cost and latency for production model serving
Syllabus
Indicative · final syllabus shared on enquiryArchitectures, scaling laws, and the open-weights ecosystem
