Viola2365/AI-Programming

Repository of practical activities, labs, and projects produced for the "Programming for Artificial Intelligence" course at SENAI. It documents hands-on work, technical progression, and applied AI concepts as a student portfolio. Intended users: the course author, instructors, classmates, and external reviewers or employers evaluating skills and artifacts. Key features: - Collection of notebooks, scripts and small projects demonstrating AI programming exercises. - Copilot-driven development: primary workflow used LLMs (ChatGPT, Gemini) to generate scaffolding and solutions. - Emphasis on prompt engineering: iterative prompt design, refinement and debugging of model outputs. - Human-in-the-loop validation: AI-generated code was tested, inspected, and manually adjusted to meet academic and coding standards. - Technologies: Python, HTML/CSS, Jupyter/VS Code, Git/GitHub.

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