Enterprise AI and Document Q&A with h2oGPTe

Organizations are eager to leverage large language models, but keeping sensitive corporate data secure remains a massive challenge. Understanding how to deploy private, enterprise-grade AI assistants is now a critical skill for modern professionals. This text-based course guides you through the fundamentals of h2oGPTe, enabling you to set up secure document search, custom chat assistants, and retrieval-augmented generation (RAG) workflows without exposing private data. What you'll learn: - Understand the core architecture of enterprise AI and how h2oGPTe protects sensitive data - Configure document collections and manage data ingestion pipelines for accurate retrieval - Apply retrieval-augmented generation (RAG) principles to connect LLMs to your private knowledge base - Build custom AI assistants tailored to specific business domains and workflows - Optimize search settings, document chunking strategies, and system prompts for high-quality responses You will start with the essential terminology of private LLMs and generative AI before progressing to hands-on configuration of document collections, prompt tuning, and system integration. This course is designed for beginners, business analysts, and IT professionals looking to implement secure AI solutions, with no prior machine learning experience required. Start reading today to unlock the power of secure enterprise AI.