Ultimate Snowflake Cortex AI for Generative AI Applications

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

Key Features

● Build enterprise-ready GenAI apps using Snowflake Cortex tools and APIs.
● Implement RAG, AI Agents, and Document AI with real-world precision.
● Explore practical Cortex use cases across industries and domains.

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 Applicationsis 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.

What you will learn

● Build and deploy Generative AI apps using Snowflake Cortex.
● Understand and apply Cortex's built-in LLM functions effectively.
● Fine-tune LLMs for domain-specific, enterprise-grade applications.
● Use RAG and prompt engineering for accurate AI responses.
● Extract insights from structured and unstructured enterprise data.
● Automate document workflows using Cortex’s Document AI features.
● Solve cross-industry problems with real-world Cortex implementations.

Who is this book for?

The book is tailored for data scientists, engineers, analysts, and technical leaders looking to harness the power of Generative AI using Snowflake Cortex. A basic understanding of AI/ML concepts, along with familiarity in SQL, Python, and Snowflake, will help readers fully benefit from the practical examples.

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

Krishnan Srinivasan holds a Master of Technology degree in Data Science and Engineering and brings over 25 years of diverse, cross-domain experience across cutting-edge technologies, specializing in Data, Artificial Intelligence, Analytics, and Cloud AI. He began his career as a data professional, working on pioneering data warehousing and analytics initiatives that laid a strong foundation for building scalable, data-driven solutions. His deep engagement with enterprise data systems and strong passion for innovation led him into the field of Artificial Intelligence. This progression, from data to AI, enabled him to bridge the gap between traditional analytics and modern AI, positioning him to lead transformative AI initiatives at the intersection of data and intelligence. Throughout his distinguished career, Krishnan has partnered with numerous Fortune 500 clients across the globe, designing and delivering impactful solutions across a wide range of industries.

Currently leading his organization’s AI strategy, Krishnan is deeply focused on the next frontier of innovation—Generative AI. His work emphasizes the power of cloud-native AI platforms such as Snowflake Cortex, to unlock new possibilities in automation, insight generation, Agentic AI, and intelligent decision-making. He is passionate about demystifying AI for businesses and helping them operationalize it to drive scalable impact in the real world.

Krishnan’s innovative spirit is also reflected in his contribution to intellectual property. He is the co-inventor of the U.S. patent "System and a Method for Automated Resolution of Configuration Item Issues" (US10698749), underscoring his commitment to solving complex technical challenges through automation.

Beyond his technical achievements, Krishnan is a mentor and thought leader, having guided numerous professionals in their AI and analytics journeys. He strongly believes in the ethical and transformative potential of AI and is dedicated to building solutions that are not just intelligent, but responsible and impactful. His vision is to bridge the gap between advanced AI technologies— especially Generative AI—and practical business applications, inspiring organizations to reimagine what is possible in the era of AI-first, cloud-native computing.

ABOUT TECHNICAL REVIEWER

Ananth Thyagarajan has 30 years of experience in designing and architecting data management applications across the Healthcare, Energy, Retail and High- tech Industries. He is highly proficient in Cloud Modernization, ERP Cloud, ERP Consolidation, metadata-driven Data Architecture, and the application of AI/ML in enterprise solutions.

Ananth is a Certified Snowflake Pro Core Professional. He has extensive experience in technology consulting and takes pride in building data solutions. His prior experience includes roles at leading organizations such as Oracle and Equinix.

Ananth co-founded Cittabase Solutions in 2011 and has since been helping enterprises achieve data-driven business outcomes. He has built a culture that fosters high-performing delivery team and a strong focus on customer success.