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Condizione: New.

Paperback. Condizione: New.

Condizione: New.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. The future of automation is agentic. With the rise of AI agents, large language models (LLMs), and no-code platforms, businesses and developers are rethinking how they build intelligent, scalable systems. n8n is a powerful open-source workflow automation tool that bridges no-code ease with advanced AI integrations, enabling users to build autonomous agents powered by GPT-4, Claude, Gemini, and custom APIs-without writing complex infrastructure code.This book is authored by a seasoned automation architect with hands-on experience building agentic workflows, AI copilots, and production-ready LLM-powered assistants. Drawing from real-world case studies, enterprise-grade automation patterns, and platform-specific techniques, this guide reflects today's best practices for anyone building next-generation AI systems using n8n."BUILDING AGENTIC AI with n8n" is a practical and complete guide to designing, integrating, and deploying intelligent, autonomous agents using the n8n automation platform. You'll learn how to connect LLMs like OpenAI and Gemini, implement memory and context management, connect to APIs and databases, and scale your agentic workflows with reliability and observability. Whether you're a solo creator, startup builder, or automation engineer, this book delivers actionable knowledge for building real AI systems-without writing endless boilerplate code.Foundations of Agentic AI, No-Code Architecture, and Event-Driven DesignStep-by-step guide to building LLM-integrated workflowsPrompt engineering templates and AI chaining methodsHow to securely connect APIs (OpenAI, Gemini, LangChain, etc.)Data pipelines, customer support agents, and real-world use casesDebugging, monitoring, version control, and deployment strategiesComparisons with LangChain, Flowise, and other agent frameworksAppendices with prompt templates, API reference, and glossaryThis book is ideal for automation enthusiasts, no-code builders, developers, AI tinkerers, solopreneurs, tech startups, and operations teams looking to implement smart agentic workflows. Whether you're new to AI automation or seeking to enhance your LLM projects with reliable tools like n8n, this guide provides clear, hands-on knowledge without unnecessary fluff.In just a few hours, you'll go from understanding what agentic AI means to deploying your own intelligent workflows using n8n and state-of-the-art AI APIs. Each chapter is designed to deliver immediate value, progressively deepening your technical expertise and confidence with practical projects you can build today.Start building smarter, faster, and more autonomous systems-today.Buy "BUILDING AGENTIC AI with n8n" now and unlock the power of no-code AI agents, LLM workflows, and event-driven automation. Whether you're creating internal tools or launching AI-powered products, this book is your blueprint for scalable, future-ready AI automation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condizione: new. Paperback. Data engineering is at the heart of modern analytics and machine learning. With the rise of real-time data pipelines, Lakehouse architecture, and cloud-native tooling like Apache Spark, Delta Lake, dbt, and Snowflake, companies are rapidly evolving how they store, process, and deliver data. This shift has redefined what's expected in interviews-from hands-on pipeline design and Python coding to SQL tuning, stream processing, and architecture design.This second edition is written by a professional data engineering specialist and technical author, combining deep industry knowledge with firsthand insight into the interview processes of top-tier companies like Databricks, Netflix, Airbnb, Snowflake, Stripe, and Meta. It's designed not just to review concepts-but to help you crack the interview and land the job.Data Engineering interview guide 2nd Edition is your complete companion to acing modern data engineering interviews. Updated for 2024-2025, this practical and deeply researched guide helps you master the technical and strategic thinking required to stand out. From SQL window functions and PySpark optimization to debugging distributed systems and stream-first architectures, each section is packed with real-world relevance and actionable insights.100+ real interview questions from modern data teamsDetailed solutions with Python, SQL, Spark, dbt, and DuckDBStreaming vs batch pipeline trade-offs with case studiesETL/ELT architecture with Delta Lake, Apache Iceberg, and HudiPerformance tuning for Spark, SQL, and cloud infrastructureMonitoring, observability & security essentialsMock interview blueprints & salary negotiation tipsAppendices: Glossary, resume templates, cheat sheets, and moreThis book is ideal for: Data engineers preparing for high-stakes interviewsSoftware engineers transitioning into data rolesBootcamp graduates and self-taught developersExperienced professionals aiming for FAANG, startups, or data-focused scaleupsYou don't need to be an expert in every tool-but this guide will help you talk like one and solve problems like a pro.Whether you're 1 week away from a phone screen or 3 months into a career switch, this guide adapts to your timeline. Use it for deep practice, last-minute review, or daily drills to build confidence fast.Master the tools. Crack the code. Get the offer.If you're serious about succeeding in modern data engineering interviews-this is the one book you can't afford to skip. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: New.

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. The future of automation is agentic. With the rise of AI agents, large language models (LLMs), and no-code platforms, businesses and developers are rethinking how they build intelligent, scalable systems. n8n is a powerful open-source workflow automation tool that bridges no-code ease with advanced AI integrations, enabling users to build autonomous agents powered by GPT-4, Claude, Gemini, and custom APIs-without writing complex infrastructure code.This book is authored by a seasoned automation architect with hands-on experience building agentic workflows, AI copilots, and production-ready LLM-powered assistants. Drawing from real-world case studies, enterprise-grade automation patterns, and platform-specific techniques, this guide reflects today's best practices for anyone building next-generation AI systems using n8n."BUILDING AGENTIC AI with n8n" is a practical and complete guide to designing, integrating, and deploying intelligent, autonomous agents using the n8n automation platform. You'll learn how to connect LLMs like OpenAI and Gemini, implement memory and context management, connect to APIs and databases, and scale your agentic workflows with reliability and observability. Whether you're a solo creator, startup builder, or automation engineer, this book delivers actionable knowledge for building real AI systems-without writing endless boilerplate code.Foundations of Agentic AI, No-Code Architecture, and Event-Driven DesignStep-by-step guide to building LLM-integrated workflowsPrompt engineering templates and AI chaining methodsHow to securely connect APIs (OpenAI, Gemini, LangChain, etc.)Data pipelines, customer support agents, and real-world use casesDebugging, monitoring, version control, and deployment strategiesComparisons with LangChain, Flowise, and other agent frameworksAppendices with prompt templates, API reference, and glossaryThis book is ideal for automation enthusiasts, no-code builders, developers, AI tinkerers, solopreneurs, tech startups, and operations teams looking to implement smart agentic workflows. Whether you're new to AI automation or seeking to enhance your LLM projects with reliable tools like n8n, this guide provides clear, hands-on knowledge without unnecessary fluff.In just a few hours, you'll go from understanding what agentic AI means to deploying your own intelligent workflows using n8n and state-of-the-art AI APIs. Each chapter is designed to deliver immediate value, progressively deepening your technical expertise and confidence with practical projects you can build today.Start building smarter, faster, and more autonomous systems-today.Buy "BUILDING AGENTIC AI with n8n" now and unlock the power of no-code AI agents, LLM workflows, and event-driven automation. Whether you're creating internal tools or launching AI-powered products, this book is your blueprint for scalable, future-ready AI automation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. Data engineering is at the heart of modern analytics and machine learning. With the rise of real-time data pipelines, Lakehouse architecture, and cloud-native tooling like Apache Spark, Delta Lake, dbt, and Snowflake, companies are rapidly evolving how they store, process, and deliver data. This shift has redefined what's expected in interviews-from hands-on pipeline design and Python coding to SQL tuning, stream processing, and architecture design.This second edition is written by a professional data engineering specialist and technical author, combining deep industry knowledge with firsthand insight into the interview processes of top-tier companies like Databricks, Netflix, Airbnb, Snowflake, Stripe, and Meta. It's designed not just to review concepts-but to help you crack the interview and land the job.Data Engineering interview guide 2nd Edition is your complete companion to acing modern data engineering interviews. Updated for 2024-2025, this practical and deeply researched guide helps you master the technical and strategic thinking required to stand out. From SQL window functions and PySpark optimization to debugging distributed systems and stream-first architectures, each section is packed with real-world relevance and actionable insights.100+ real interview questions from modern data teamsDetailed solutions with Python, SQL, Spark, dbt, and DuckDBStreaming vs batch pipeline trade-offs with case studiesETL/ELT architecture with Delta Lake, Apache Iceberg, and HudiPerformance tuning for Spark, SQL, and cloud infrastructureMonitoring, observability & security essentialsMock interview blueprints & salary negotiation tipsAppendices: Glossary, resume templates, cheat sheets, and moreThis book is ideal for: Data engineers preparing for high-stakes interviewsSoftware engineers transitioning into data rolesBootcamp graduates and self-taught developersExperienced professionals aiming for FAANG, startups, or data-focused scaleupsYou don't need to be an expert in every tool-but this guide will help you talk like one and solve problems like a pro.Whether you're 1 week away from a phone screen or 3 months into a career switch, this guide adapts to your timeline. Use it for deep practice, last-minute review, or daily drills to build confidence fast.Master the tools. Crack the code. Get the offer.If you're serious about succeeding in modern data engineering interviews-this is the one book you can't afford to skip. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…