The session will be a deep dive on transfer learning in the field of deep learning analyzing how it allows us to build powerful models on common computer hardware. This session will breakdown how to leverage the pre-trained models, fine-tune the layers and optimize pre-trained models to achieve high-powered applications like image recognition or natural language processing in an accessible manner. Moreover, provide use cases that can be applied in simple applications to be shared with people in remote areas such as doctors and farmers.