isla vireo (25 risultati)

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. Mastering Claude 4 for Advanced AI Development by Isla Vireo is the ultimate resource for developers, machine learning engineers, applied researchers, and data scientists seeking to harness Anthropic's Claude 4 for cutting-edge AI solutions. This authoritative guide dives deep into Claude 4's constitutional AI framework, 100K+ token context window, and seamless integrations with LangChain and AWS Bedrock, empowering readers to build ethical, scalable, and production-ready AI systems. Packed with rigorous theory, production-grade Python code, and real-world case studies, this book equips you with the tools to master complex agentic workflows, ensure system reliability through observability, and navigate ethical and regulatory challenges in high-stakes domains like finance, healthcare, and enterprise automation. From prompt engineering and multi-agent pipelines to adversarial testing, CI/CD deployments, and governance frameworks, this book bridges theory and practice to future-proof your AI expertise. Key Features: Master Claude 4's constitutional AI and extended-context capabilities for advanced reasoning and scalability.Build robust AI pipelines using Python, LangChain, and AWS Bedrock, with hands-on code examples.Implement observability, SRE practices, and security measures to ensure reliability and robustness.Optimize performance through benchmarking, hallucination detection, and cost analysis.Deploy scalable systems with CI/CD pipelines, canary deployments, and ethical governance artifacts.Navigate GDPR, HIPAA, and responsible AI principles for compliant deployments.Apply real-world solutions with mini-projects in chatbots, financial analysis, and enterprise automation.Whether you're an experienced developer or a seasoned AI professional, this book provides the expertise to design, deploy, and govern Claude 4 systems with confidence, ensuring performance, security, and ethical alignment in a rapidly evolving AI landscape. Chapter StructureChapter 1: Introduction to Claude 4 and Constitutional AIChapter 2: Leveraging Claude 4's Extended Context WindowChapter 3: Getting Started with Claude 4 API and PythonChapter 4: Building Agentic Workflows with Claude 4Chapter 5: Integrating Claude 4 with LangChainChapter 6: Deploying Claude 4 on AWS BedrockChapter 7: Prompt Engineering for Optimal PerformanceChapter 8: Observability and Monitoring in Claude 4 SystemsChapter 9: Securing Claude 4 Systems Against Adversarial AttacksChapter 10: Benchmarking and Evaluating Claude 4 PerformanceChapter 11: Building Multi-Agent Systems with Claude 4Chapter 12: CI/CD Pipelines and Canary DeploymentsChapter 13: Ethical Governance and Regulatory ComplianceChapter 14: Real-World Applications and Mini-ProjectsChapter 15: Future-Proofing Claude 4 Systems This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Master production-ready AI agent development with this comprehensive, code-first handbook that guides you from foundational concepts to scalable cloud deployments using LangGraph, LangChain, LlamaIndex, CrewAI, and AutoGen. This practical guide delivers complete Python workflows, RAG pipelines, tool integration, Docker containerization, FastAPI services, CI/CD automation, security hardening, performance optimization, async programming, parallelism, caching strategies, monitoring dashboards, and real-world troubleshooting-empowering developers, engineers, and architects to build, orchestrate, and deploy intelligent AI agents that perform reliably in production environments. 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. Paperback. Mastering Agentic AI Systems delivers the ultimate engineering playbook for building autonomous multi-agent systems that reason, collaborate, negotiate, and self-orchestrate across enterprise-grade workflows. Leveraging open-source LLMs, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, LangChain, LangGraph, RAG 2.0, Docker, Kubernetes, and production governance frameworks, this hands-on guide transforms developers into agentic architects capable of deploying scalable, secure, and explainable autonomous agents today. Packed with executable code, deployment blueprints, security patterns, monitoring dashboards, and real-world case studies, every chapter equips AI engineers, ML architects, and technical leaders with production-ready solutions for intelligent assistants, SaaS orchestration platforms, and mission-critical agent networks. Master dynamic retrieval, stateful reasoning, distributed decision-making, and cloud-native scaling-without vendor lock-in.What You'll LearnDesign full-stack agentic architectures with MCP-driven context persistence and A2A negotiation protocolsOrchestrate complex multi-step reasoning using LangChain and LangGraph state machinesImplement adaptive RAG 2.0 pipelines that evolve retrieval strategies based on reasoning gapsContainerize and scale agent fleets with Docker, Kubernetes, Helm, and service meshesEnforce enterprise governance, RBAC, audit trails, and anomaly detection for agentic systemsBuild fault-tolerant, self-healing agent networks with observability, tracing, and chaos engineeringWho This Book Is ForAI Engineers, ML Architects, DevOps Specialists, CTOs, and Researchers ready to ship autonomous agents into production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. This comprehensive LangChain project handbook equips Python developers with 15 complete, runnable AI agent builds that go far beyond toy examples. Master retrieval-augmented generation (RAG), LangChain agents, vector stores, prompt engineering, memory management, and multi-agent collaboration through production-grade Python code. Every chapter delivers step-by-step LangChain tutorials with fully explained, adaptable scripts that connect LangChain to real data sources, APIs, and databases. From beginner-friendly LangChain chatbots to advanced autonomous AI applications deployed with FastAPI and Docker, you'll construct customer support bots, research assistants, financial data analyzers, and coordinating multi-agent workflows. Each project emphasizes LangChain RAG techniques, tool integration, reliable output engineering, and scalable deployment-giving you a portfolio of production-ready AI systems that showcase expertise in LangChain agents for production environments. 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. Paperback. Discover the power of Tauri to create lightweight, secure, and high-performance desktop applications with Tauri Development Guide: Building High-Performance Cross-Platform Desktop Applications with Rust and TypeScript by Isla Vireo.This comprehensive guide empowers developers to harness Rust's safety and speed alongside TypeScript's modern web frameworks to build cross-platform desktop apps for Windows, macOS, and Linux. Perfect for frontend developers transitioning to native applications or Rust enthusiasts exploring desktop development, this book offers a step-by-step roadmap to mastering Tauri's ecosystem. Learn to integrate frameworks like React, Svelte, and Vue, architect robust APIs, implement secure data storage, optimize performance, and deploy production-ready apps with custom installers and auto-updates. Packed with practical code examples, real-world workflows, and advanced techniques, this book is your key to building native desktop applications that prioritize speed, security, and user experience-leaving bloated frameworks like Electron behind. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Unlock the full potential of AI-driven backend development with LangChain-Powered AI Backends: Building Scalable Systems with FastAPI, Agents, and Vector Databases. Authored by Isla Vireo, this definitive guide empowers backend developers to design, implement, and deploy production-grade AI systems that integrate large language models (LLMs) with robust, scalable architectures. Focusing on real-world applications, this book dives deep into LangChain, FastAPI, vector databases, and agent-based frameworks to create intelligent, context-aware, and modular AI backends.Learn to build high-performance APIs with FastAPI, harness LangChain's agent framework for reasoning and tool execution, and leverage vector databases like Chroma, Weaviate, and Qdrant for retrieval-augmented generation (RAG) and contextual memory. From memory-managed workflows to microservices and LangGraph integration, this book provides step-by-step guidance to architect systems that scale seamlessly in production environments. Whether you're developing AI copilots, knowledge bases, or custom LLM APIs, this book equips you with the tools, patterns, and strategies to deliver faster, smarter, and more reliable AI solutions.Key topics include: Architecting scalable FastAPI backends for LLMsBuilding and deploying LangChain agents with tool routingImplementing RAG pipelines with vector stores and embeddingsManaging long-term context and memory in AI workflowsDesigning modular, extensible systems with microservices and LangGraphPerfect for backend developers seeking to master AI system design, this book is your blueprint for creating production-ready, intelligent backends that power the next generation of AI applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. Unlock the power of connected data and artificial intelligence with this comprehensive guide to building intelligent knowledge graphs using Neo4j and Ollama. This hands-on resource bridges the gap between graph database technology and modern AI, showing you how to create sophisticated, queryable knowledge systems that leverage local large language models. Whether you're a data engineer, software developer, AI enthusiast, or technical architect, this book provides step-by-step instruction on designing graph schemas, implementing Cypher queries, integrating Ollama AI models, and building production-ready knowledge graph applications. Learn to transform unstructured data into meaningful relationships, enhance semantic search capabilities, implement vector embeddings, and create RAG (Retrieval-Augmented Generation) systems that combine the best of graph databases and generative AI. Topics covered include Neo4j fundamentals, graph data modeling, Cypher query language, property graphs, graph algorithms, natural language processing, entity extraction, knowledge graph construction, embeddings and vector search, AI-powered graph traversal, Ollama model deployment, prompt engineering for graphs, real-time data pipelines, graph visualization techniques, and enterprise-scale implementations. Perfect for practitioners seeking to build intelligent data systems, enhance search and recommendation engines, create conversational AI interfaces, or develop knowledge management platforms. All examples include practical Python code, Docker configurations, and production deployment strategies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Mastering Claude 4 for Advanced AI Development by Isla Vireo is the ultimate resource for developers, machine learning engineers, applied researchers, and data scientists seeking to harness Anthropic's Claude 4 for cutting-edge AI solutions. This authoritative guide dives deep into Claude 4's constitutional AI framework, 100K+ token context window, and seamless integrations with LangChain and AWS Bedrock, empowering readers to build ethical, scalable, and production-ready AI systems. Packed with rigorous theory, production-grade Python code, and real-world case studies, this book equips you with the tools to master complex agentic workflows, ensure system reliability through observability, and navigate ethical and regulatory challenges in high-stakes domains like finance, healthcare, and enterprise automation. From prompt engineering and multi-agent pipelines to adversarial testing, CI/CD deployments, and governance frameworks, this book bridges theory and practice to future-proof your AI expertise. Key Features: Master Claude 4's constitutional AI and extended-context capabilities for advanced reasoning and scalability.Build robust AI pipelines using Python, LangChain, and AWS Bedrock, with hands-on code examples.Implement observability, SRE practices, and security measures to ensure reliability and robustness.Optimize performance through benchmarking, hallucination detection, and cost analysis.Deploy scalable systems with CI/CD pipelines, canary deployments, and ethical governance artifacts.Navigate GDPR, HIPAA, and responsible AI principles for compliant deployments.Apply real-world solutions with mini-projects in chatbots, financial analysis, and enterprise automation.Whether you're an experienced developer or a seasoned AI professional, this book provides the expertise to design, deploy, and govern Claude 4 systems with confidence, ensuring performance, security, and ethical alignment in a rapidly evolving AI landscape. Chapter StructureChapter 1: Introduction to Claude 4 and Constitutional AIChapter 2: Leveraging Claude 4's Extended Context WindowChapter 3: Getting Started with Claude 4 API and PythonChapter 4: Building Agentic Workflows with Claude 4Chapter 5: Integrating Claude 4 with LangChainChapter 6: Deploying Claude 4 on AWS BedrockChapter 7: Prompt Engineering for Optimal PerformanceChapter 8: Observability and Monitoring in Claude 4 SystemsChapter 9: Securing Claude 4 Systems Against Adversarial AttacksChapter 10: Benchmarking and Evaluating Claude 4 PerformanceChapter 11: Building Multi-Agent Systems with Claude 4Chapter 12: CI/CD Pipelines and Canary DeploymentsChapter 13: Ethical Governance and Regulatory ComplianceChapter 14: Real-World Applications and Mini-ProjectsChapter 15: Future-Proofing Claude 4 Systems 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. This comprehensive LangChain project handbook equips Python developers with 15 complete, runnable AI agent builds that go far beyond toy examples. Master retrieval-augmented generation (RAG), LangChain agents, vector stores, prompt engineering, memory management, and multi-agent collaboration through production-grade Python code. Every chapter delivers step-by-step LangChain tutorials with fully explained, adaptable scripts that connect LangChain to real data sources, APIs, and databases. From beginner-friendly LangChain chatbots to advanced autonomous AI applications deployed with FastAPI and Docker, you'll construct customer support bots, research assistants, financial data analyzers, and coordinating multi-agent workflows. Each project emphasizes LangChain RAG techniques, tool integration, reliable output engineering, and scalable deployment-giving you a portfolio of production-ready AI systems that showcase expertise in LangChain agents for production environments. 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. Discover the power of Tauri to create lightweight, secure, and high-performance desktop applications with Tauri Development Guide: Building High-Performance Cross-Platform Desktop Applications with Rust and TypeScript by Isla Vireo.This comprehensive guide empowers developers to harness Rust's safety and speed alongside TypeScript's modern web frameworks to build cross-platform desktop apps for Windows, macOS, and Linux. Perfect for frontend developers transitioning to native applications or Rust enthusiasts exploring desktop development, this book offers a step-by-step roadmap to mastering Tauri's ecosystem. Learn to integrate frameworks like React, Svelte, and Vue, architect robust APIs, implement secure data storage, optimize performance, and deploy production-ready apps with custom installers and auto-updates. Packed with practical code examples, real-world workflows, and advanced techniques, this book is your key to building native desktop applications that prioritize speed, security, and user experience-leaving bloated frameworks like Electron behind. 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. Mastering Agentic AI Systems delivers the ultimate engineering playbook for building autonomous multi-agent systems that reason, collaborate, negotiate, and self-orchestrate across enterprise-grade workflows. Leveraging open-source LLMs, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, LangChain, LangGraph, RAG 2.0, Docker, Kubernetes, and production governance frameworks, this hands-on guide transforms developers into agentic architects capable of deploying scalable, secure, and explainable autonomous agents today. Packed with executable code, deployment blueprints, security patterns, monitoring dashboards, and real-world case studies, every chapter equips AI engineers, ML architects, and technical leaders with production-ready solutions for intelligent assistants, SaaS orchestration platforms, and mission-critical agent networks. Master dynamic retrieval, stateful reasoning, distributed decision-making, and cloud-native scaling-without vendor lock-in.What You'll LearnDesign full-stack agentic architectures with MCP-driven context persistence and A2A negotiation protocolsOrchestrate complex multi-step reasoning using LangChain and LangGraph state machinesImplement adaptive RAG 2.0 pipelines that evolve retrieval strategies based on reasoning gapsContainerize and scale agent fleets with Docker, Kubernetes, Helm, and service meshesEnforce enterprise governance, RBAC, audit trails, and anomaly detection for agentic systemsBuild fault-tolerant, self-healing agent networks with observability, tracing, and chaos engineeringWho This Book Is ForAI Engineers, ML Architects, DevOps Specialists, CTOs, and Researchers ready to ship autonomous agents into production. 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. Master production-ready AI agent development with this comprehensive, code-first handbook that guides you from foundational concepts to scalable cloud deployments using LangGraph, LangChain, LlamaIndex, CrewAI, and AutoGen. This practical guide delivers complete Python workflows, RAG pipelines, tool integration, Docker containerization, FastAPI services, CI/CD automation, security hardening, performance optimization, async programming, parallelism, caching strategies, monitoring dashboards, and real-world troubleshooting-empowering developers, engineers, and architects to build, orchestrate, and deploy intelligent AI agents that perform reliably in production environments. 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. Unlock the full potential of AI-driven backend development with LangChain-Powered AI Backends: Building Scalable Systems with FastAPI, Agents, and Vector Databases. Authored by Isla Vireo, this definitive guide empowers backend developers to design, implement, and deploy production-grade AI systems that integrate large language models (LLMs) with robust, scalable architectures. Focusing on real-world applications, this book dives deep into LangChain, FastAPI, vector databases, and agent-based frameworks to create intelligent, context-aware, and modular AI backends.Learn to build high-performance APIs with FastAPI, harness LangChain's agent framework for reasoning and tool execution, and leverage vector databases like Chroma, Weaviate, and Qdrant for retrieval-augmented generation (RAG) and contextual memory. From memory-managed workflows to microservices and LangGraph integration, this book provides step-by-step guidance to architect systems that scale seamlessly in production environments. Whether you're developing AI copilots, knowledge bases, or custom LLM APIs, this book equips you with the tools, patterns, and strategies to deliver faster, smarter, and more reliable AI solutions.Key topics include: Architecting scalable FastAPI backends for LLMsBuilding and deploying LangChain agents with tool routingImplementing RAG pipelines with vector stores and embeddingsManaging long-term context and memory in AI workflowsDesigning modular, extensible systems with microservices and LangGraphPerfect for backend developers seeking to master AI system design, this book is your blueprint for creating production-ready, intelligent backends that power the next generation of AI applications. 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. Unlock the power of connected data and artificial intelligence with this comprehensive guide to building intelligent knowledge graphs using Neo4j and Ollama. This hands-on resource bridges the gap between graph database technology and modern AI, showing you how to create sophisticated, queryable knowledge systems that leverage local large language models. Whether you're a data engineer, software developer, AI enthusiast, or technical architect, this book provides step-by-step instruction on designing graph schemas, implementing Cypher queries, integrating Ollama AI models, and building production-ready knowledge graph applications. Learn to transform unstructured data into meaningful relationships, enhance semantic search capabilities, implement vector embeddings, and create RAG (Retrieval-Augmented Generation) systems that combine the best of graph databases and generative AI. Topics covered include Neo4j fundamentals, graph data modeling, Cypher query language, property graphs, graph algorithms, natural language processing, entity extraction, knowledge graph construction, embeddings and vector search, AI-powered graph traversal, Ollama model deployment, prompt engineering for graphs, real-time data pipelines, graph visualization techniques, and enterprise-scale implementations. Perfect for practitioners seeking to build intelligent data systems, enhance search and recommendation engines, create conversational AI interfaces, or develop knowledge management platforms. All examples include practical Python code, Docker configurations, and production deployment strategies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.