Welcome to the fourth and final course of this specialization. This course is called Natural Language Processing with Attention Models. When you finish this course, you have pretty much reached the cutting edge of today's practical NLP methods. You use a powerful technique called attention to build several different models. Some of the things you build using the attention mechanism. You build a powerful language translation model. You also build an algorithm capable of summarizing text. You build a model that can actually answer questions about a piece of text. With the skills you develop in this course, you'll be able to build state-of-the-art NLP applications just like the ones used in many large companies in industry today. I'm pleased to again welcome Lucas and Eunice as your instructors for this course. I know both of them are really excited to get into the materials with you. Lucas told me the other day he finds this course's topics very exciting. Lucas, maybe you could say a bit more about that. Many of these applications are built with attention models, which you are going to learn in this specialization. A few years ago, these models would take weeks or even months to train, but with attention, you can train these models in just a few hours. Thanks, Lucas. I still have very fond memories of when I was leading Google Brain, and it's nice to see the great work that the team continues to put out. Eunice, what do you think? What are the most exciting aspects of this course from your perspective? Well, Andrew, there's a lot to be excited about. For starters, the models that you'll build in this course represent the active areas of research at the cutting edge of the field. But beyond that, when it comes to modern deep learning, there's a sort of new normal, which is to say, most people aren't actually building and training models from scratch. Instead, it's more common to download a pre-trained model and then tweak it and fine-tune it for your specific use case. In this course, we show you how to build the models from scratch, but we also provide you custom pre-trained models that we created just for you. You will practice the workflow that's used in the industry, which is to fine-tune state-of-the-art pre-trained models. The tools you take away from this course, you'll literally be able to build NLP systems at the industry standard. Thanks very much, Eunice and Lucas, for that introduction to this course. This is a set of important materials that the course will go over, so let's get into it. All right, let's get started. Good luck!