Training the model is just one part of shipping a Deep Learning project. In our courses, we teach the full stack of production Deep Learning:- Formulating the problem and estimating project cost- Finding, cleaning, labeling, and augmenting data - Picking the right framework and compute infrastructure- Troubleshooting training and ensuring reproducibility- Deploying the model at scale