CISB 63 Generative Artificial Intelligence, Large Language Models, & Natural Language Processing in Business
3.5 Units (Degree Applicable)
Lecture: 54
Lab: 27
Prerequisite: CISD 41
This course is to unlock the power of generative AI (Artificial Intelligence) and transform your business strategy with our comprehensive course. Dive into essential principles and practical techniques for leveraging Large Language Models (LLMs) and Natural Language Processing (NLP) in a business context. This course provides a thorough exploration of: Text Processing Techniques (Master essential methods such as regular expressions, tokenization, text normalization, parts-of-speech tagging, and grammar parsing). Named Entity Recognition and Feature Engineering (Learn to extract key entities and engineer features using count vectors and TF-IDF (Term Frequency-Inverse Document Frequency). Text Analysis (Gain expertise in text cleaning, semantics, and sentiment analysis). Generative AI (Artificial Intelligence) Tools and Applications (Explore the latest advancements in generative AI, including creating AI-powered applications and chatbots using Python and relevant frameworks).