Snowflake AI & LLM Fundamentals: From LLMs to RAG (Udemy.com)

Go beyond simply using LLMs—understand how they work and learn how to build AI applications with Snowflake. This course takes you from AI and neural network fundamentals through LLM and Transformer architecture, and then into Snowflake Cortex AI, embeddings, chunking, Cortex Search, RAG, AISQL, Cortex Analyst, and Cortex Agents. By combining LLM internals with hands-on Snowflake AI features, you'll develop a strong foundation for building modern Generative AI applications on Snowflake.

What you'll learn

• Understand AI, Generative AI and LLM fundamentals

• Learn Neural Networks and LLM architecture

• Deep dive into Transformer architecture and its internals

• Understand tokens, embeddings, attention and the LLM generation process

• Explore Snowflake Cortex AI

• Work with AI Parse and AI Embed

• Understand chunking, embeddings and semantic search

• Build and understand RAG architecture using Cortex Search

• Work with Snowflake AISQL functions

• Explore Cortex Analyst for natural-language interaction with data

• Understand Cortex Agents and AI agent architecture

• Connect LLM fundamentals with practical Snowflake AI implementations

The course starts from the foundations of AI and neural networks and progressively dives into LLM architecture and Transformer internals, including how modern LLMs process and generate text. You will build a strong conceptual understanding of the technology behind Generative AI rather than simply learning how to use AI APIs.

By the end of the course, you will understand how LLMs work internally, how RAG systems are built, and how Snowflake can be used to develop production-oriented AI applications.