Production-Ready Multimodal ML Engineering

Production machine learning systems don't run on model accuracy alone — they depend on reliable data pipelines, optimized inference, and scalable cloud infrastructure. This course integrates the full stack of ML engineering skills needed to build and operate multimodal AI systems in the real world. You will design a unified feature store schema for image, audio, and text data, then automate ingestion and validation using Apache Airflow and Great Expectations. You will apply test-driven development to PyTorch data loaders and training loops, optimize a model for real-time inference using Tenso…