Retrieval-Augmented Generation (RAG) Training in USA

The Retrieval-Augmented Generation (RAG) Training is a hands-on program focused on building accurate, scalable, and enterprise-ready GenAI applications by combining Large Language Models (LLMs) with external knowledge sources.
Participants learn how to design RAG pipelines that reduce hallucinations, improve answer quality, and leverage private data securely using modern AI stacks.

Welcome to the official Retrieval-Augmented Generation (RAG) Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic Python programming knowledge

• Introductory understanding of Generative AI or LLMs

• Familiarity with APIs and JSON

• Prior experience with ML or data engineering is helpful (not mandatory)

• RAG architecture design

• Prompt engineering for RAG

• Embeddings and vector search

• Document processing and chunking

• Context retrieval optimization

• RAG evaluation and monitoring

• Secure and scalable GenAI deployment

By the end of this training, participants will be able to:

• Understand RAG concepts and architectures

• Build end-to-end RAG pipelines

• Implement document ingestion and chunking strategies

• Use embeddings and vector databases effectively

• Improve response accuracy and reduce hallucinations

• Deploy and evaluate production-ready RAG systems