Application Development with AI

Catalog description

Prerequisite: CMSC 210 Corequisite: none Description: Provides a high-level overview of transformer-based large language models, covering core concepts such as tokenization, embeddings, self-attention, and training. Explores practical skills in prompt engineering, context management, understanding model limitations, tool use, and agentic AI workflows. Applies these concepts within an AI-assisted software development context, emphasizing requirements planning, code generation and review, testing strategies, and best practices for secure and responsible professional use of AI tools.