data science programming course homepage
Reusable n8n workflows for higher education, research, and professional practice.
A capability-first method for designing AI-enabled software systems in line with the CloudPedagogy AI Capability Framework.
Extract files from Moodle .mbz backups, restore original filenames and paths, verify integrity, and generate a CSV manifest.
AI Capability Briefs aligned to the CloudPedagogy AI Capability Framework (2026 Edition).
A capability-led, reflective diagnostic tool for interpreting AI capability gaps and risk patterns using the CloudPedagogy AI Capability Framework.
CloudPedagogy AI Capability Framework (2026 Edition) – a values-based, developmental model for ethical, strategic, and creative AI use across sectors.
Exploratory, browser-based Scenario Stress-Test tool grounded in the CloudPedagogy AI Capability Framework.
Comprehensive collection of Machine Learning and Deep Learning Models
Local-first interoperability tool for transforming and validating data across the CloudPedagogy ecosystem using a shared schema.
CloudPedagogy’s course-engine: a CLI for producing traceable, defensible course outputs from structured specifications using Quarto.
A local-first tool for tracking and comparing changes to curriculum, assessment, and AI integrity designs over time. It enables structured versioning, rationale capture, and audit-ready change summaries, supporting transparent, governance-aware academic design and quality assurance processes.
A local-first tool for mapping video transcripts to structured learning segments, themes, and objectives. Part of the CloudPedagogy AI Capability and Human–AI Governance ecosystem.
AI Capability Studio : offline-first, static structured workflow tool for generating AI Workflow Records using the AI Capability Framework. No AI calls. No accounts. Governance-ready exports.
Local-first dashboard for analysing curriculum coherence, alignment, and governance readiness across programmes. Visualises relationships between modules, outcomes, and assessments to surface structural risks, duplication, and gaps in system-level design.
A local-first registry for reusable curriculum modules, supporting version tracking, dependency mapping, and governance-ready inspection across programmes.
Local-first governance tool for recording, analysing, and learning from AI-related incidents, failures, near misses, and hallucinations through structured review, root-cause analysis, mitigation tracking, and governance-ready reporting.
Convert structured Microsoft Word tables into standalone, interactive chart dashboards featuring bar, line, scatter, bubble, area, pie and donut charts.
A local-first tool for designing clear, structured approaches to acceptable AI use in assessment. It helps educators define permitted and restricted uses, generate student guidance, document rationale, and identify risks—supporting transparent, consistent, and governance-ready academic integrity design.
Governance-ready, AI-aware healthcare research object template built with Quarto. Includes lifecycle structure, governance artefacts, and synthetic demonstration project.
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