Snowflake Generative AI: Building Intelligent Data Agents

Organizations are moving beyond simple chatbots to intelligent systems that can actually reason and act on data. This course introduces you to the essentials of building autonomous AI agents directly within your data platform. By reading this text-based guide, you will transition from understanding basic generative AI concepts to designing agents that can plan, execute tasks, and query databases. You will gain a practical foundation in leveraging modern language models and vector search to solve real-world data problems. What you'll learn: - Understand the foundational concepts of generative AI, large language models, and agentic workflows. - Configure native AI and search capabilities to process unstructured data. - Apply prompt engineering techniques to guide models in planning and executing complex tasks. - Build Retrieval-Augmented Generation (RAG) pipelines using vector data types and semantic search. - Design intelligent agents that can securely interact with your data and external tools. - Practice implementing and testing agent workflows through written step-by-step exercises. The course starts with essential terminology and the mechanics of large language models before guiding you through vector databases, RAG architecture, and agent design. You will explore structured text explanations and code snippets that illustrate how to orchestrate these components seamlessly. This course is designed for data professionals, developers, and beginners eager to explore AI engineering. No prior machine learning experience is required, though a basic understanding of SQL is helpful. Start reading today to unlock the potential of generative AI on your data platform.