Cybrec Platform FAQ

Cybrec is a technical training platform focused on infrastructure security. The training demonstrates how security controls are configured, verified, and operated in network, cloud, DevOps, and AI environments.

Cybrec courses focus on practical implementations across network security, cloud security, DevOps automation, and AI engineering. Training covers real infrastructure systems such as firewalls, cloud networking, identity management, infrastructure automation tools, and AI agents such as Claude Code.

Courses are organized as structured learning paths covering specific technologies and security concepts. Each course includes lessons, configuration walkthroughs, supporting lab materials, and practical implementation exercises (where applicable).

Yes. Courses include practical lab content designed to reinforce the technologies and security concepts covered in the training. Depending on the course, labs may include downloadable workbooks, topology files, configuration exercises, guided solution videos, platform-integrated Virtual Labs (vLabs), and cloud-based training environments designed for infrastructure, automation, networking, security, and AI workflows.

Virtual Labs (vLabs) are integrated hands-on environments that allow students to interact with preconfigured infrastructure directly through the platform. Depending on the course, virtual labs may provide access to dedicated Network Labs, Cloud Labs, or AI Labs. In addition to convenience, isolated virtual environments provide a safe workspace for practical exercises, experimentation, and workflows that may involve infrastructure automation, administrative tooling, or AI-assisted configuration tasks.

Network Labs provide browser-accessible virtual environments hosted by Cybrec, including operating systems, security tools, network devices, and lab workstations. Cloud Labs provide temporary cloud access with preconfigured resources that allow students to perform cloud-native exercises directly within a cloud provider environment. AI Labs provide a personal Linux desktop in the browser with Claude Code, the Claude desktop app, VS Code, Git, the GitHub CLI, Python, and Node.js already installed, for courses where you build and automate with AI agents. The lab type used depends on the course objectives and technologies being taught.

An AI agent such as Claude Code runs commands, installs packages, and changes files on the machine it works on. In an AI Lab, that machine is a disposable workstation, so you can give the agent more freedom while you learn, without risk to your own computer or work environment. The accounts you sign in with, such as GitHub, are still real, so use a test repository for practice.

A paid Claude subscription (Pro, Max, Team, or Enterprise), because the free Claude plan doesn’t include Claude Code, and a free GitHub account. You sign in to both at the start of each lab session. Everything else is already installed, and you can add more tools during the session.

No. Every session starts a fresh machine with no files and no sign-ins, and nothing is kept when the session ends. Push your work to your own GitHub repository before you stop the lab or its time runs out. Where a course builds on earlier tasks, its public Cybrec repository provides the starting files for each task, so you can continue even if you didn’t finish the previous one.

No. Virtual lab availability depends on the course and infrastructure requirements. Courses that include integrated vLabs clearly indicate this within the course details and lab resources sections.

Yes. While many courses now provide integrated Virtual Labs (vLabs), some training scenarios continue to use self-hosted or external infrastructure depending on the technology and learning objectives. This is most common for technologies, platforms, and scenarios that benefit from direct integration with a student's own infrastructure or local environments.  Downloadable lab materials and supporting resources remain available where applicable.

Yes. The platform can be accessed from desktop computers, tablets, and mobile devices. The interface adapts to different screen sizes while maintaining access to course materials, videos, and lab resources.

No. Virtual Labs, including Network, Cloud, and AI Labs, are included in the PRO and PRIME plans, and lab time counts toward your plan’s usage limits. PRIME adds expanded usage limits and advanced lab materials. Lab availability also depends on the course.

Once you subscribe, your training library becomes available through your member account at cybrec.com/login.