Ultimate Snowflake Cortex AI for Generative AI Applications: Design, Build, and Deploy Generative AI Solutions with Snowflake Cortex for Real-World ... (Cloud Data Engineering — Warehousing Path)

Power your AI Journey and Build the Future with Snowflake Cortex.

Book Description
Snowflake Cortex is redefining how modern enterprises build, scale, and deploy Generative AI—natively within the data cloud.

Ultimate Snowflake Cortex AI for Generative AI Applications is a hands-on, end-to-end guide designed for data professionals, engineers, and technical leaders eager to unlock the full power of Snowflake’s native AI engine. The book begins by grounding you in the fundamentals of AI/ML within the Snowflake ecosystem before diving deep into the architecture, capabilities, and use cases of Snowflake Cortex.

As you progress, you’ll explore Cortex’s built-in machine learning functions, dive into prompt engineering, Retrieval-Augmented Generation (RAG), and learn how to leverage LLM functions effectively. You'll gain hands-on experience in fine-tuning models, translating natural language queries into actionable insights, and automating document processing using Cortex’s Document AI. Practical chapters on security, governance, and cost discipline ensure you're prepared for enterprise-scale AI deployment.

With real-world case studies and cross-industry applications, this book equips you with both the strategic understanding and technical skills to implement Generative AI at scale. Cortex is the future of enterprise AI—don’t just adapt to it, lead it.

Table of Contents
1. Introduction to AI/ML in the Snowflake Ecosystem
2. Understanding Snowflake Cortex
3. Overview of Machine Learning Functions
4. Introduction to LLMs, Prompt Engineering, and RAG
5. LLM Functions in Cortex AI
6. Fine-Tuning Large Language Models in Cortex
7. Natural Language Queries to Actionable Insights
8. Unlocking Document Intelligence with Document AI
9. Implementing Cortex with Security, Governance, and Cost Discipline
10. Industry Use Cases and Case Studies
11. Conclusion and Next Steps
Index