Course Learning Outcomes

By the end of this course, students should be able to:

• Explain the difference between language tasks and large language models.
• Describe a simple AI pipeline as preprocessing, model work, and postprocessing.
• Match common model families to task types in plain language.
• Recognize why pretrained models can be useful without being neutral or always correct.
• Build a task-fit review before using language AI in public or paid work.