Guide LLM fine-tuning, dataset preparation, PEFT adapter configuration, and model evaluation workflows.

Build production ML systems with robust data contracts, reproducible training, and operational monitoring.

Apply idiomatic PyTorch patterns for reproducible training loops, clean architectures, and data pipelines.

Design a structured lesson plan with learning objectives, timed activities, and assessments.