I'd suggesting budgeting about 80 hours for the course given that background. That should get you to a place where you can work on practical projects that are reasonably well within standard applications of deep learning.
Most practical deployment is done to cloud environments rather than local notebooks. The deployment exercise we do in the course is designed to show the key components you'll need for deploying simple models in practice.
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I'd suggesting budgeting about 80 hours for the course given that background. That should get you to a place where you can work on practical projects that are reasonably well within standard applications of deep learning.
Most practical deployment is done to cloud environments rather than local notebooks. The deployment exercise we do in the course is designed to show the key components you'll need for deploying simple models in practice.