Pennsylvania State University 3 credits SWENG
Artificial Intelligence is rapidly transforming software engineering practice, from requirements analysis and code generation to testing, code review, and DevOps support. Understanding both the technical foundations and the ethical and engineering implications of these tools is increasingly essential for software engineers and technology leaders. This course offers a foundational and applied approach to AI-Assisted Software Engineering, with emphasis on Generative AI, LLMs, AI agents, and low-code/no-code workflows. Participants will learn how to collaborate with AI in activities such as requirements generation, coding, testing, debugging, code review, and documentation, while maintaining engineering control, validation, and accountability. Through hands-on exercises and a group project, students will design and evaluate AI-enabled solutions for software engineering tasks across the software development lifecycle (SDLC). The course also introduces Software Engineering for AI Systems, highlighting the distinct challenges of building reliable systems that include AI/ML/LLM components.
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