Applied GenAI & Agentic AI Engineering

Build production-grade AI applications over 17 weeks. Master generative AI foundations, retrieval-augmented generation (RAG), agentic AI patterns, and production reliability engineering. Learn from practitioners, build real projects, ship a capstone system, and join CoreSmart's talent network. This course moves through four phases: · Phase 1 (Weeks 1-8): AI fundamentals, RAG architecture, and evaluation science · Phase 2 (Weeks 9-13): Agentic AI systems, multi-agent orchestration, and guardrails · Phase 3 (Weeks 14-16): Production deployment, reliability, and financial optimization · Phase 4 (Week 17): Your capstone project and Demo Day Cohort-based. Live sessions every Saturday, 9-11 PM IST. Open to developers with Python fundamentals and ambition to build AI products. **What you'll ship:** 32 production projects, a capstone AI system, and verified credentials recognized by AI-forward companies. **Who should apply:** Developers ready to move from AI tutorials to real AI work. Prior ML knowledge not required; prior Python is.