Programming for AI

Students can’t build models if they can’t get their code to run. A ready-to-go environment keeps everyone moving forward.

• Run and test Python code, Jupyter notebooks, and AI libraries in the browser
• Pre-load packages like NumPy, pandas and PyTorch
• Save hours of class time by skipping local installs and setup help

AI courses often include a mix of CS majors, data science students, and total beginners. CodeGrade helps you teach them all.

• Scaffold projects with templates and starter code
• Add inline checkpoints and quizzes to help students self-correct
• Resubmissions and instant feedback help students learn from mistakes
• Built-in AI assistant unblocks students when you’re not available

 Grading code doesn’t have to be overwhelming. CodeGrade handles the repetitive work so you can focus on giving meaningful feedback and helping students grow.

• Autograde Python scripts and Jupyter notebooks
• Leave inline comments to explain modeling mistakes
• Use rubrics to assess code quality and results