Learn to scale up your models and enable collaborative model development at academic or industry research labs.
Level 8: Train in the background on the cloud
Learn how to run models on the cloud in the background.
Level 10: Understand your model
Use advanced visuals to find the best performing model.
Level 11: Explore SOTA scaling techniques
Explore SOTA techniques to help convergence, stability and scalability.
Level 12: Deploy your models
Learn how to deploy your models with optimizations like ONNX and torchscript.
Level 13: Optimize training speed
Use advanced profilers to mixed precision to train bigger models, faster.