Explore the development process of a deep learning project in this 32-minute video, focusing on a case study of the transformer model. Gain insights into approaching new projects, time management strategies, and overcoming challenges in deep learning development. Learn about data preparation, task definition, training loop implementation, and optimization techniques. Discover the intricacies of beam search and BucketIterator, and understand the hardware requirements for training transformer models. Follow along as the speaker shares personal experiences, embraces failures, and demonstrates the process of translating between English and German using the implemented transformer model.