Ultimate Snowflake Cortex Ai For Generative Ai Applications
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Ultimate Snowflake Cortex AI for Generative AI Applications: Design, Build, and Deploy Generative AI Solutions with Snowflake Cortex for Real-World and Industry-Scale Applications
Author: Krishnan Srinivasan
language: en
Publisher: Orange Education Pvt Limited
Release Date: 2025-06-21
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 DescriptionSnowflake 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. 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.
Ultimate Snowflake Cortex AI for Generative AI Applications
Author: Krishnan Srinivasan
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-06-21
TAGLINE 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. 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. WHAT WILL YOU 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. 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
Snowflake SNOWPROⓇ SPECIALTY:GEN AI Certification Practice 300 Questions & Answer
Author: Rashmi Shah
language: en
Publisher: QuickTechie.com | A career growth machine
Release Date:
QuickTechie.com proudly presents this comprehensive self-paced study guide for the SnowPro® Specialty: Gen AI Certification Beta Exam. This guide is meticulously designed to outline the Snowflake domains, objectives, and topics essential for success on this advanced certification. While use of this guide does not guarantee certification, it serves as a foundational resource for your preparation journey. Guide Overview This study guide is structured to provide a clear roadmap for understanding Generative AI concepts within the Snowflake ecosystem. It details the specific Snowflake topics and subtopics covered on the exam, complemented by additional resources such as documentation, blogs, and exercises to deepen your understanding. The estimated study time to complete the guide is between 10 to 13 hours, with the understanding that the value of specific links may vary based on individual experience. Target Audience The SnowPro Specialty: Gen AI Certification Beta Exam is specifically designed for professionals with one or more years of Gen AI experience in an enterprise environment, particularly within Snowflake. Successful candidates are expected to possess advanced proficiency in Python coding, alongside assumed knowledge of data engineering and SQL. This exam is ideal for: AI or ML Engineers Data Scientists Data Engineers Data Application Developers Data Analysts with programming experience Prerequisites To be eligible for the Specialty: Gen AI Certification Beta Exam, candidates must hold an active SnowPro Associate: Platform or SnowPro Core Certification in good standing. Exam Content and Format The SnowPro Specialty: Gen AI Certification Beta Exam rigorously tests specialized knowledge, skills, and best practices for leveraging Gen AI methodologies within Snowflake. The assessment includes scenario-based questions, interactive questions, and real-world examples to evaluate a candidate's ability to: Define and implement Snowflake Gen AI principles, capabilities, and best practices concerning infrastructure, data governance, and cost governance. Leverage Snowflake Cortex AI features, Large Language Models (LLMs), and offerings to address customer use cases, including Cortex Analyst, Cortex Search, Cortex Fine-tuning, and Snowflake Copilot. Build open-source models using Snowpark Container Services and Snowflake Model Registry, such as those from Hugging Face. Utilize Document AI to train and troubleshoot models tailored to specific customer requirements. Key Knowledge Areas Candidates are expected to possess in-depth knowledge of: The Snowflake Cortex suite of Gen AI features and their underlying models. Retrieval Augmented Generation (RAG) applications that leverage LLMs.