Vizuara AI Labs corporate training catalog
Vizuara has built one of the most comprehensive AI training libraries in the market, trained 8,000+ corporate employees globally, delivered programs for companies such as Renesas and Ramco, and now runs a training business at roughly $2M ARR. This catalog packages that capability into role-based tracks for modern enterprises.
Choose a training bundle
The default enterprise starting point: agents, AI-assisted software development, context engineering, RAG, fine-tuning, and applied AI production workflows.
We built evaluation into training, not as an afterthought.
Most training platforms stop at attendance, quizzes, or completion certificates. Vizuara treats project evaluation as the core product: every cohort can end with evidence of what people built, how they used AI, where they struggled, and which teams are ready for production work.
AI collaboration, scored with evidence.
See the evaluation product in action
ArcEval runs a real AI coding environment, captures the collaboration process, and produces scored reports with evidence. The same philosophy extends to Vizuara's custom evaluation platforms for RAG, agents, inference, robotics, and GPU systems.
ArcEval for coding and context engineering
Best suited for Modern Software Development and Context Engineering. ArcEval captures prompts, responses, edits, commands, and final code, then scores AI collaboration across eight dimensions.
Custom evaluators for AI systems courses
RAG, agents, inference, vision, robotics, and GPU courses use specialized rubrics: source grounding, latency, memory, task completion, ablations, profiler interpretation, and deployment readiness.
Cohort dashboards for enterprise sponsors
For a corporate deployment, Vizuara can provide pre/post assessments, capstone pass rates, project quality bands, leaderboard views, and manager-facing summaries.
A training partner with depth, reach, and evaluation discipline
Vizuara combines a broad AI learning catalog with corporate delivery experience and project-based evaluation. Pricing is shown as indicative enterprise pricing because final quotes depend on cohort size, delivery format, evaluation depth, and bundled tracks.