Explore the fundamental principles of AI and ML, learn about data preprocessing techniques, and understand the architecture and functionality of large language models (LLMs) like BERT and GPT. During the course, students will also engage in practical activities, such as building sentiment analysis models, fine-tuning pre-trained LLMs, and deploying them in various applications, including chatbots and text generation tools.