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Course Code: 0304210313
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Open Source Tools for Data Science introduces students to the open-source ecosystem that powers modern data science and AI workflows. The course covers collaborative version control with Git and GitHub, Linux-based development and containerization using WSL2 and Podman, infrastructure practices for reproducible AI services (Docker Compose, environment security, DevContainers), open-source LLM and vector database frameworks (Ollama, ChromaDB, LangChain, LlamaIndex), and deployment of AI applications using FastAPI, Gradio, and CI/CD pipelines. Through hands-on classroom sessions on their own laptops, students build practical, in-demand skills while completing a capstone project that ties together an end-to-end open-source data science workflow — from version-controlled code to a deployed, containerized application.
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Course Code: 304210208
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Course Code: 304210207
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Course Code: 304210201
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Course Code: 304210101
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Course Code: 304220208
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Course Code: 304220204
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Course Code: 304220202
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Course Code: 304220201
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Course Code: 304220107
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Course Code: 304220106
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Course Code: 304220105
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Course Code: 304220104
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Course Code: 304220103
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Course Code: 304220102
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Course Code: 304220101
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