Welcome to RugvAI Labs

Your home base. The curriculum page shows a structured 90-day learning path from AI basics to production ML engineering. Each day maps to specific lessons across tracks.

16 learning tracks covering everything from math foundations to AI agents and SQL. Each track contains 6-55 lessons with interactive content, quizzes, and visualizations — 314 lessons total.

145 hands-on playgrounds where you can interact with ML algorithms in real time. Adjust parameters, see instant visual feedback, and build intuition.

Apply what you've learned with structured practice problems. Each problem tests a specific concept with guided hints and solutions.

81 production-ready GenAI projects across 8 industry domains. Each project includes architecture diagrams, implementation details, and interview prep.

462 system design topics organized into fundamentals, infrastructure, case studies, and interview prep. Interactive architecture diagrams bring each concept to life.

An interactive visual map showing how every topic connects. See prerequisites, dependencies, and the fastest path from where you are to where you want to go.

577 AI/ML terms explained in plain English (and Telugu). Searchable glossary that helps you build the language of machine learning.

A floating Python button on every page gives you instant access to a code editor. Run Python code right in your browser — no installation needed.

Track your learning journey with detailed progress metrics. See completed lessons, quiz scores, and your overall mastery level.

A personalized learning path that adapts to your goals. Whether you want to become an ML engineer, understand LLMs, or build AI agents — the journey maps your route.

Full-text search across all lessons, concepts, projects, and vocabulary. Find any topic instantly.