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
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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
Ultimate Generative AI Solutions on Google Cloud
Author: Arun Pandey
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2024-12-29
TAGLINE Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! KEY FEATURES ● Step-by-step guidance for building Generative AI apps on Google Cloud Platform. ● Pro tips for fine-tuning models to achieve optimal performance. ● Industry-specific use cases for practical, hands-on learning. DESCRIPTION Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. WHAT WILL YOU LEARN ● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG. ● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives. ● Master prompt engineering techniques to enhance model performance with GCP tools. ● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run. ● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps. ● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. WHO IS THIS BOOK FOR? This book is tailored for AI practitioners, data scientists, and developers with a foundational knowledge of machine learning and experience using Google Cloud services. Familiarity with Python programming and an interest in generative AI applications will enrich your understanding and support practical implementation of the concepts. TABLE OF CONTENTS 1. Generative AI Essentials 2. Google Cloud Basics 3. Getting Started with Large Language Models 4. Prompt Engineering and Contextual Learning 5. Fine-Tuning a Large Language Model 6. Parameter-Efficient Fine-Tuning (PEFT) 7. Reinforcement Learning with Human Feedback 8. Model Optimization 9. LLMOps for Managing and Monitoring AI Projects 10. Harnessing RAG and LangChain 11. Case Studies and Real-World Implementations Index