End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps

Build production-ready multimodal AI systems that combine vision, language, and audio into unified intelligent applications. This course takes you through the full lifecycle of multimodal model development — from constructing and fine-tuning transformer-based architectures using PyTorch and TensorFlow, to diagnosing training failures, designing cross-modal retrieval systems, and deploying secure, monitored inference APIs. You will work with real-world tools including CLIP, ViT, FAISS, FastAPI, MLflow, and Ray Tune to build systems that process and integrate multiple data types simultaneously.…