Free hosted Jupyter notebooks with GPU access, Gemini code assistance and a natural-language data science agent.
What it is good at
Free GPU access is what makes an intro machine-learning or data science course possible with no compute budget. Instructors can disable AI features at the notebook level, which is an unusually concrete academic-integrity control — hand out an AI-off notebook for the assessment and an AI-on notebook for exploration.
Use it for
Distributing the same dataset as two notebooks: AI disabled for the graded analysis, AI enabled for an optional compare-your-approach reflection. Having students critique the Data Science Agent's generated analysis for an unjustified assumption — dropped nulls, leaked target, wrong test. Running a GPU-backed training demo live on machines with no GPU.
Where it falls short
Free-tier sessions disconnect and lose state, which frustrates students mid-assignment. The Data Science Agent produces statistically confident output from bad methodology — it will impute, drop rows and report an r-squared without flagging leakage. The free Pro year for US higher ed is explicitly limited in quantity with no guaranteed renewal, so do not make it load-bearing.
Cost and capability details last verified Sep 20, 2026. Pricing in this category moves fast — confirm on the vendor’s own page before committing a course to it.
Used in
Computer Science: Notebook-level AI disable is the most practical integrity control in this directory.
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