Deep Learning Engineering

About this course

This specialization equips machine learning practitioners with advanced skills to build, optimize, debug, and deploy deep learning systems at production scale. Through hands-on projects, you'll master training diagnostics using TensorBoard, accelerate model performance with PyTorch optimization techniques, fine-tune transformer models for computer vision and NLP applications, and construct efficient data pipelines. You'll also learn to standardize ML workflows and deploy models using GPU clusters and containerized infrastructure. By completion, you'll possess the end-to-end engineering expertise needed to take deep learning projects from prototype to production with confidence and efficiency.

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