Master deep learning, LLMs, and deploying ML systems to production.
What you'll learn
Build and train neural networks, apply transfer learning and transformers/LLMs, and deploy, monitor, and scale ML systems in production (MLOps).
Who it's for
Experienced ML practitioners.
Prerequisites
Solid ML foundations and Python proficiency.
Deep learning, LLMs, and the MLOps practices that put models into production.