PhD Courses in Denmark

The aim of this course is to equip PhD students with a comprehensive understanding of cutting-edge natural language processing (NLP) technologies and their application in real-world industrial settings.  Solid understanding of these vital NLP techniques equips business and engineering PhD students with the necessary skills to leverage textual data effectively to solve the real-world problems, e.g., improving customer satisfaction, developing intelligent systems, and making data-driven decisions. This leads to success in today's data-driven and language-driven industrial landscape.The topics covered here are text classification, sentiment analysis, speech recognition, conversational AI and Large Language Model. 
In addition to theoretical knowledge, this course places a strong emphasis on practical implementation and problem-solving. Participants will engage in hands-on exercises, working with industry-standard tools and libraries. Participants will develop the ability to identify and solve NLP challenges specific to their respective fields. By the end of the course, participants will possess the skills necessary to navigate the rapidly evolving landscape of NLP technologies. They will have the ability to develop and deploy advanced NLP models to tackle complex language-related problems faced by businesses and industries. 

For additional information, updates, and registration, please refer to AAU PhDMoodle via the link provided on the right side of this page.