Vocareum

Vocareum spins up isolated, ready-to-use environments for AI, cloud and data work. Learners open them in the browser and start coding or configuring without installing anything. Environments reset between cohorts, so the next class starts clean.

The AI Gateway gives every learner access to OpenAI, Claude, Gemini and other models through a single route. Admins decide which models are available and set the budget for each one. Model calls stay key-free and auditable, which removes the risk of API keys leaking into student projects.

Atlas builds interactive learning experiences from natural language prompts. An instructor describes a scenario, like a customer support role-play or a data science workflow, and Atlas publishes it as a runnable exercise with hosting, rosters and grade passback handled. It moves learners from guided practice into real tools and assessments.

These pre-configured workspaces come loaded with leading agent frameworks and copilots. Students build, test and deploy AI assistants in sandboxed environments where autonomous actions stay contained. Usage tracking keeps experimentation inside a controlled budget.

Learners work in the real consoles used in production, such as live AWS accounts, rather than simulations. Automated lifecycle management provisions and tears down resources on a schedule, and prebuilt IAM roles keep each environment strictly isolated.

Browser-based IDEs and the AI Notebook give learners a fully loaded coding environment from anywhere. Progress saves automatically across sessions, and every workspace carries the same tooling so a whole cohort works from an identical setup.

Vocareum scales compute on demand with dedicated GPUs, high-performance clusters and bare metal options. It also deploys relational and NoSQL databases in isolated environments and runs Windows virtual desktops and cyber ranges for security training.