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GEN AI – RAG
This Generative AI RAG session equips developers with skills to build Retrieval-Augmented Generation systems, enhancing LLMs with external data retrieval for accurate, context-aware responses. Learners explore core components like vector databases, semantic search, chunking, embeddings, and hybrid retrievers, alongside prompt engineering and evaluation metrics.
Product Engineering with React live online sessions for building scalable, production-ready web apps. Developers master advanced React patterns, state management (Redux/Zustand), performance optimization, testing (Jest/React Testing Library), and deployment strategies using Next.js and Vercel. Interactive projects focus on real-world features like authentication, API integration, and CI/CD pipelines for efficient full-stack engineering..
