AI Agents and RAG Services

Are you looking to build intelligent applications that leverage external knowledge to provide more accurate and context-aware responses? This course provides a comprehensive guide to creating production-grade AI agent services using Retrieval-Augmented Generation (RAG) patterns. You will gain the skills to construct a complete RAG system, enabling AI models to access and process information effectively, leading to more robust and reliable AI solutions. This course focuses on practical implementation and operational best practices for AI services. What you'll learn: - Understand the fundamental concepts of AI agents and RAG architectures. - Implement core RAG components, including data indexing and retrieval strategies. - Build state graphs for complex agent workflows using modern frameworks. - Deploy your RAG service using containers and manage its API. - Integrate observability tools for monitoring performance and quality. - Apply best practices for robust error handling and cost control. The course covers the essential steps from initial data setup to a fully operational API, incorporating essential topics like vector databases, agent orchestration, and deployment pipelines. This course is designed for beginners with no prior experience in AI agents or RAG systems. No prerequisites are needed. Start building your advanced AI services today.