Experiment Management, Tuning & Debugging

Scaling deep learning in production requires more than working code; it requires systematic tuning, efficient pipelines, and the ability to diagnose failures before deployment. This course builds operational skills to manage deep learning workflows at enterprise scale on Azure ML. You'll implement LoRA and QLoRA fine-tuning for large language models using Hugging Face PEFT, comparing memory use, training throughput, and performance. You'll design hyperparameter optimization experiments using Azure ML sweep jobs with Bayesian sampling and early termination, tracking runs with MLflow. You'll di

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