INITIALIZING FOUNDRY...
Direct answers to help you navigate your journey into AI-Native Engineering
pronative.ai is an AI-Native Engineering Foundry focused on transforming high-potential into AI-native system builders capable of designing and operating intelligent systems at scale. Unlike traditional training institutes, we focus on engineering transformation through live projects, not just knowledge delivery.
pronative.ai operates as a Foundry, not a school. It focuses on transformation over certification, using a live, adaptive, project-driven approach to produce industry-ready practitioners with an engineering mindset, rather than just course completers. All delivery is 100% hands-on with no recorded content.
Program offers two tracks: AI-Assisted (2-day weekend) for building foundations with AI, and AI-Native (4 weekends) for mastering agentic systems and live industry projects.
You will learn to build fullstack applications with AI assistance, design and deploy multi-agent systems, implement LLMOps/GenAIOps pipelines, work with enterprise platforms like Microsoft Foundry, and operate AI systems in production.
All sessions are 100% live, instructor-led, and adaptive based on participant progress. There is no pre-recorded content, ensuring real-time learning and feedback.
During Week 3, you will work on AI-powered applications, autonomous agents, and enterprise-grade AI platforms across platform engineering, product development, and AI-driven systems.
An AI-Native Engineer designs systems with AI at the core, builds and orchestrates intelligent agents, and works across fullstack, cloud, and AI infrastructure to deliver autonomous, scalable systems.
The Foundry operates virtually with a presence in Bengaluru, India. All programs are delivered online.
pronative.ai runs multiple cohorts throughout the year (e.g., June, July, August). The AI-Assisted track is a 2-day weekend program, and the AI-Native track spans 4 consecutive weekends. Both are designed to fit entirely on weekends with zero impact on your work week.