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AI Course Projects: Designing Engaging Undergraduate AI Activities with Limited Resources

This guide explores practical strategies for creating engaging artificial intelligence projects for second-year undergraduates, balancing foundational algorithms and modern LLM techniques while working within computational constraints. Discover how to foster AI thinking and innovation in resource-limited classroom settings.

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Designing Foundational AI Projects for Undergraduates: Balancing Depth and Resource Constraints

This article explores strategies for designing foundational artificial intelligence course projects tailored to second-year undergraduates. It addresses key challenges in AI education, including coverage of core concepts from perceptrons to large language models (LLMs) while working within computational resource limitations. The guide provides practical solutions for educators to create meaningful learning experiences in artificial intelligence courses, student projects with real-world relevance, and approaches to overcome computational resource constraints.