Launch browser-based Jupyter environments with preloaded tools, managed AI access, on-demand GPUs, and built-in grading without local setup or infrastructure overhead.
The user-facing notebook experience, powered by Vocareum’s infrastructure, governance, integrations, and assessment tools.
Give learners and instructors governed access to leading models inside the notebook environment, with centralized key management and visibility into usage.
Access Leading Models: Support hands-on work with models like ChatGPT, Gemini, Claude, and more through managed AI access.
Safe Experimentation: Create controlled environments for prompt engineering, experimentation, and AI application development.
Instructional Flexibility: Enable AI-assistants and tutors where they add value to learning.
Budget Visibility: Apply built-in budget controls to help monitor AI usage and keep costs predictable.
Give learners on-demand access to the compute they need for model training, larger datasets, and heavier notebook workloads, without the overhead of managing infrastructure.
Single-Click GPU Access: Use NVIDIA V100 and A100 GPUs for training AI models without complex setup.
Support Heavier Workloads: Run training jobs and work with larger datasets that go beyond CPU-only notebook environments.
Spend Control: Apply built-in budget controls to help manage GPU usage and keep costs predictable.
Training Workflow Support: Help teams manage and schedule training jobs more efficiently.
AI Notebook is backed by the platform controls institutions need to deliver secure, scalable technical learning.
Centralized API key management
Budget controls & usage analytics
Role-based access controls
Automated code grading
Cell-by-cell notebook evaluation
Rubric-based assessment & AI feedback
Plagiarism detection & similarity scoring
Team projects with permissions
Structured peer-review workflows
In-line commenting & discussion forums
Multi-step assignment creation
Seamless LMS integration with platforms like Canvas
Real-time grade passback & SSO
SOC 2 Type II certification and FERPA-aligned data handling
Granular access controls and audit trails
Encrypted data and isolated user environments
| Feature | Vocareum AI Notebook | Self-Managed JupyterHub |
|---|---|---|
| Setup & Maintenance | Fully managed, < 5 min setup | Complex setup and ongoing maintenance |
| LMS Integration | Native LTI 1.3 integration | Manual, often custom, integration |
| GPU Access | Single-click (AWS, Colab, NRP) | Manual configuration required |
| Generative AI Models | Built-in access (ChatGPT, Claude, etc.) | Requires separate API setup & cost |
| Auto-Grading | AI-powered logic analysis | Manual grading or basic scripts |
| Security & Compliance | Enterprise-grade (SOC 2, SAML) | Requires manual configuration |
| Cost | Predictable per-student pricing | Variable, often unpredictable costs |
Support hands-on learning in AI, data science, cloud, and cybersecurity across college and university programs. AI Notebook gives instructors a browser-based environment for delivering technical coursework with less setup overhead and more consistency across cohorts.
Benefits:
LMS integration with platforms like Canvas, Blackboard, Moodle, and Brightspace
Standardized environments for consistent delivery across sections
Built-in grading and assessment tools to reduce manual workload
Access to real tools, datasets, and notebook-based workflows
Deliver hands-on training in GenAI, cloud, data, and security with notebook environments that help teams build practical skills and apply them on the job.
Benefits:
Track learner progress and skill development
Provide secure, role-based access across teams
Customize environments with your own tools and content
Support product, technical, and upskilling programs in one environment
Deliver notebook-based technical learning at scale for both cohort-based and self-paced programs. AI Notebook supports large learner volumes with browser-based access and consistent environments across global programs.
Benefits:
Support hands-on learning across AI, cloud, coding, and data
Deliver a branded experience with white-label capabilities
Integrate with platforms such as edX and Coursera
Scale more efficiently across large online cohorts
Create hands-on practice labs and performance-based assessments that measure real technical skills, not just multiple-choice recall.
Benefits:
Use real-world scenarios to assess applied skills
Deliver secure environments for testing and practice
Provide automated grading for faster results
Improve readiness with practical, notebook-based exercises
Support product adoption, developer enablement, and customer training with on-demand notebook environments for hands-on learning, trials, and technical onboarding.
Benefits:
Embed hands-on environments into product and training experiences
Deliver developer and customer education more effectively
Provide secure, sandboxed environments for demos and practice
Give users access to real tools and workflows, not simulations
Vocareum AI Notebook is a cloud-based, Jupyter-powered environment for hands-on AI, data, and coding workflows. It provides browser-based access to preloaded tools, managed AI model access, on-demand GPU resources, and built-in grading without local setup or infrastructure overhead. This notebook experience is supported by Vocareum’s infrastructure, governance, integrations, and assessment tools.
AI Notebook supports managed access to leading models such as ChatGPT, Gemini, Claude, Mistral, and Llama2 within the notebook environment. Centralized key management, built-in budget controls, and usage visibility help institutions support experimentation more safely and manage usage more predictably. Instructors can also enable AI assistants and tutors where they add value to learning.
Learners get single-click access to NVIDIA V100 and A100 GPUs for model training and other compute-intensive workloads. To help manage costs, interactive sessions can be limited to CPUs, with GPUs reserved for more intensive training jobs and governed through explicit hourly budgets. AI Notebook also includes an automated training job scheduler to support efficient model training and larger dataset workflows.
AI Notebook includes built-in assessment tools for hands-on technical learning, including automated code grading, cell-by-cell notebook evaluation, rubric-based assessment, AI feedback, and plagiarism detection with similarity scoring. The platform also supports peer review workflows and grading analytics to help instructors evaluate learner work more efficiently.
AI Notebook integrates with major LMS platforms, including Canvas, Blackboard, Moodle, and Brightspace, through LTI 1.3. This supports single-click access, deep linking, and grade passback. For enterprise authentication, the platform also supports SAML 2.0 SSO, with integration options for identity providers such as Active Directory, Okta, and Azure AD.
Yes. AI Notebook supports collaboration through team projects with permissions, structured peer review workflows, in-line commenting, and discussion forums. These features help learners and instructors work together more effectively across hands-on technical projects.
Yes. Instructors can customize learning environments by preloading specific tools, datasets, and starter code to align with course goals and technical workflows. This makes it easier to support everything from introductory coding exercises to more advanced AI and data projects.
See how Vocareum AI Notebook helps you launch hands-on environments with managed AI access, on-demand GPUs, built-in grading, and the platform controls needed for scalable delivery.
