Hands-on Labs for K-12, Universities and Colleges

Providing students access to AI tools and compute resources without complex setup or infrastructure limitations.

CloudLabs delivers ready-to-use AI lab environments with preconfigured frameworks, datasets, and workflows. Students can build and train models directly in real environments without setup delays.

Enabling hands-on model training and experimentation at scale while managing resource constraints and environment inconsistencies.

CloudLabs allows institutions to deploy standardized ML environments with real datasets and pipelines, ensuring every student works in a consistent, scalable setup.

Teaching data analysis and visualization using real datasets without spending time configuring tools and environments.

Ready-to-deploy data science labs with integrated tools enable students to focus on analysis, visualization, and insights from day one.

Creating safe environments for students to practice real-world security scenarios without risking institutional systems.

Isolated lab environments help students safely simulate attacks, test defenses, and learn cybersecurity practices without impacting production systems.

Giving students practical experience with cloud platforms while controlling cost, access, and environment complexity.

Controlled access to AWS, Azure, and Google Cloud with built-in cost management, role-based permissions, and guided lab workflows.

Providing faculty and graduate students with easy, scalable access to high-performance computing without the delays and complexity of securing dedicated hardware.

CloudLabs extends the same lab platform used for teaching to research, offering on-demand access to powerful, cost-effective, and easy-to-manage cloud environments.