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Oct 09, 2026
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CMSC 225 - Application Development with AI Credits: 3
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.
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