Apress dez 2026 (38 risultati)
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,35
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - As AI agents plug into more tools and internal systems, the Model Context Protocol (MCP) is becoming a core part of how modern platforms work. With this shift comes a fast growing challenge: understanding the new attack surfaces created when probabilistic models interact with real APIs, da…ta, and networks. This book gives practitioners a clear, practical guide to navigating that emerging threat landscape by showing how MCP architectures behave in production and where hidden risks often appear.The book begins by mapping today s MCP trust boundaries and explaining why traditional security assumptions don t hold when the client is an LLM. You ll explore real attack stories and hands on labs demonstrating tool poisoning techniques, signature cloaking, and sampling based abuses. You ll then learn how attackers target the surrounding environment through DNS rebinding, malicious MCP servers, and confused deputy patterns that turn over permissioned tools into high impact attack paths.From there, the book provides defensive approaches built on schemas, contracts, monitoring, least privilege, and continuous red team testing. Each chapter helps you apply the ideas to real deployments.Drawing on active MCP security research and real world agent testing, this book offers a focused roadmap for securing the next generation of AI systems.What You Will LearnUnderstand how MCP architectures function in real AI agent systemsIdentify trust boundaries and map emerging attack surfacesUse sampling based and elicitation based techniques to assess model behaviorProtect MCP environments from DNS rebinding and confused deputy risksWho This Book is ForThis book is for security engineers, AI platform teams, red teamers, DevSecOps practitioners, MCP implementers, agent framework developers, and technical leaders responsible for securing AI driven systems and LLM powered applications.
- Brossura
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Modern enterprises face growing friction between platform teams and product teams. Domain-Driven Platform Engineering offers a principled approach to align technical systems with business value. This book addresses this market gap with a deep, structured methodology supported by examples an…d real-life case studies.The primary audience for this book includes software developers who are building domain-specific products. ' Domain refers to client or industry-specific capability products such as payments platforms, claims processing in insurance, revenue cycle management in healthcare, fulfillment orchestration in retail, or content lifecycle management in media, to name a few.The Domain-Driven Platform Engineering (DDPE) market is expanding rapidly as organizations confront the limits of generic platforms and seek to scale differentiated, domain-specific capabilities. Gartner predicts that 80% of software engineering organizations will have platform teams by 2026, while platform engineering is now a top-10 trend in enterprise IT modernization initiatives.This book provides timely, structured guidance as developers and engineering leaders increasingly look to merge domain expertise with platform thinking. Readers will engage with this book conceptually and practically, using it initially to shape mental models and alignment strategies between domains and platforms. Then, they will revisit specific chapters for maturity models, frameworks, and industry case studies as they build and evolve their domain-aligned platforms.You will:Adopt domain-driven practices to align platform engineering with business context and scale effectively.Apply practitioner playbooks with real-world case studies, blueprints, and hands-on implementation guidance.Implement governance and security patterns that ensure reliability, compliance, and resilience in enterprise platforms.This book is for: Enterprise Architects ,Technology Leaders, DevOps and Cloud Engineers 240 pp. Englisch.
- Brossura
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Modern enterprises face growing friction between platform teams and product teams. Domain-Driven Platform Engineering offers a principled approach to align technical systems with business value. This book addresses this market gap with a deep, structured methodology supported by examples an…d real-life case studies.The primary audience for this book includes software developers who are building domain-specific products. ' Domain refers to client or industry-specific capability products such as payments platforms, claims processing in insurance, revenue cycle management in healthcare, fulfillment orchestration in retail, or content lifecycle management in media, to name a few.The Domain-Driven Platform Engineering (DDPE) market is expanding rapidly as organizations confront the limits of generic platforms and seek to scale differentiated, domain-specific capabilities. Gartner predicts that 80% of software engineering organizations will have platform teams by 2026, while platform engineering is now a top-10 trend in enterprise IT modernization initiatives.This book provides timely, structured guidance as developers and engineering leaders increasingly look to merge domain expertise with platform thinking. Readers will engage with this book conceptually and practically, using it initially to shape mental models and alignment strategies between domains and platforms. Then, they will revisit specific chapters for maturity models, frameworks, and industry case studies as they build and evolve their domain-aligned platforms.You will:Adopt domain-driven practices to align platform engineering with business context and scale effectively.Apply practitioner playbooks with real-world case studies, blueprints, and hands-on implementation guidance.Implement governance and security patterns that ensure reliability, compliance, and resilience in enterprise platforms.This book is for: Enterprise Architects ,Technology Leaders, DevOps and Cloud Engineers 240 pp. Englisch.
- Brossura
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments.This book guides through the entire modern machine learning lifecycle. You ll s…tart with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You ll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance. Finally, you ll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you ll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.In the end, this book helps you build systems that are robust, auditable, and optimized whether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.What you will learn:Implement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.Fine tune and serve LLMs with LoRA/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.Design agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.Deploy and run production grade AI with MLOps/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.Who this book is for:This book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale. 443 pp. Englisch.
- Brossura
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments.This book guides through the entire modern machine learning lifecycle. You ll s…tart with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You ll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance. Finally, you ll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you ll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.In the end, this book helps you build systems that are robust, auditable, and optimized whether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.What you will learn:Implement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.Fine tune and serve LLMs with LoRA/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.Design agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.Deploy and run production grade AI with MLOps/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.Who this book is for:This book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale. 443 pp. Englisch.
- Brossura
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Discover how real iOS teams build, ship, and scale apps in production environments.This book goes beyond frameworks and tutorials to show how development actually works across startups, product teams, and indie developers. Instead of focusing on ideal solutions, it reveals how teams make de…cisions under real constraints, balancing speed, quality, and long-term maintainability.Through interviews with experienced iOS developers, tech leads, and teams, the book explores key areas such as architecture, testing, CI/CD, navigation, data management, and team workflows. The book highlights patterns, tensions, and real-world challenges that shape production apps.Unlike traditional iOS books that focus on APIs or best practices in isolation, this book connects the full development lifecycle into one coherent picture. It shows how architectural decisions affect testing, how workflows influence product quality, and how teams evolve their systems over time. By focusing on real-world practices instead of theory, it gives readers a deeper understanding of how modern iOS development actually works.What You'll Learn Understand how real iOS teams approach architecture, testing, and workflows Evaluate trade-offs between tools, patterns, and team constraints Design CI/CD pipelines and manage release processes Structure navigation, data, and user experience in production apps Apply insights from real-world teams to your own projects Improve collaboration through Git workflows and code reviewsWho Is This Book ForThis book is for intermediate iOS developers who want to understand how real teams build and scale apps. It is also valuable for senior developers and team leads looking to improve architecture, workflows, and collaboration practices. 279 pp. Englisch.
- Brossura
Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Master advanced features in Rust. With this book, you will learn to write robust, production-grade code by exploring powerful language capabilities essential for real-world development.Dive into the advanced language features and nuanced concepts that are typically underrepresented in mains…tream Rust literature and courses. Topics include lifetime relationships, coercion, trait object safety, down casting, drop check, and more. As Rust continues to gain traction in systems programming, web services, and embedded development, mastering its advanced concepts is more important than ever. This book brings together complex Rust knowledge in a clear, accessible format, helping you build your foundational skills while navigating the language's sometimes challenging learning curve.In the end, you'll gain the skills and confidence to write safe, idiomatic Rust code, while enhancing your resume with advanced, career-boosting Rust expertise.What You Will Learn:- Understand and implement advanced error handling strategies in Rust- Master lifetime relationships, coercion rules, and trait limitations and variance- Gain practical knowledge on drop check and down casting- Improve code safety and readability using combinators and structured loggingWho This Book is for:Intermediate to Advanced developers who have a foundational understanding of Rust and are eager to advance their skills to the next level.
- Brossura
Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Modern enterprises face growing friction between platform teams and product teams. Domain-Driven Platform Engineering offers a principled approach to align technical systems with business value. This book addresses this market gap with a deep, structured methodology supported by examples an…d real-life case studies.The primary audience for this book includes software developers who are building domain-specific products. ' Domain" refers to client or industry-specific capability products such as payments platforms, claims processing in insurance, revenue cycle management in healthcare, fulfillment orchestration in retail, or content lifecycle management in media, to name a few. The Domain-Driven Platform Engineering (DDPE) market is expanding rapidly as organizations confront the limits of generic platforms and seek to scale differentiated, domain-specific capabilities. Gartner predicts that 80% of software engineering organizations will have platform teams by 2026, while platform engineering is now a top-10 trend in enterprise IT modernization initiatives.This book provides timely, structured guidance as developers and engineering leaders increasingly look to merge domain expertise with platform thinking. Readers will engage with this book conceptually and practically, using it initially to shape mental models and alignment strategies between domains and platforms. Then, they will revisit specific chapters for maturity models, frameworks, and industry case studies as they build and evolve their domain-aligned platforms. You will:Adopt domain-driven practices to align platform engineering with business context and scale effectively.Apply practitioner playbooks with real-world case studies, blueprints, and hands-on implementation guidance.Implement governance and security patterns that ensure reliability, compliance, and resilience in enterprise platforms.This book is for: Enterprise Architects ,Technology Leaders, DevOps and Cloud Engineers.
- Brossura
Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments.This book guides through the entire modern machine learning lifecycle. You'll s…tart with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You'll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance. Finally, you'll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you'll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.In the end, this book helps you build systems that are robust, auditable, and optimizedwhether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.What you will learn:Implement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.Fine tune and serve LLMs with LoRA/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.Design agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.Deploy and run production grade AI with MLOps/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.Who this book is for:This book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale.
- Brossura
Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Discover how real iOS teams build, ship, and scale apps in production environments.This book goes beyond frameworks and tutorials to show how development actually works across startups, product teams, and indie developers. Instead of focusing on ideal solutions, it reveals how teams make de…cisions under real constraints, balancing speed, quality, and long-term maintainability.Through interviews with experienced iOS developers, tech leads, and teams, the book explores key areas such as architecture, testing, CI/CD, navigation, data management, and team workflows. The book highlights patterns, tensions, and real-world challenges that shape production apps.Unlike traditional iOS books that focus on APIs or best practices in isolation, this book connects the full development lifecycle into one coherent picture. It shows how architectural decisions affect testing, how workflows influence product quality, and how teams evolve their systems over time. By focusing on real-world practices instead of theory, it gives readers a deeper understanding of how modern iOS development actually works.What You'll Learn Understand how real iOS teams approach architecture, testing, and workflows Evaluate trade-offs between tools, patterns, and team constraints Design CI/CD pipelines and manage release processes Structure navigation, data, and user experience in production apps Apply insights from real-world teams to your own projects Improve collaboration through Git workflows and code reviewsWho Is This Book ForThis book is for intermediate iOS developers who want to understand how real teams build and scale apps. It is also valuable for senior developers and team leads looking to improve architecture, workflows, and collaboration practices.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,70
EUR 37,63 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - Quickly find solutions to common problems when working with XML and JSON in SQL Server, now updated for SQL Server 2022 and 2025.This second edition of XML and JSON Recipes for SQL Server expands the original with new recipes, including a dedicated section on FLWOR (For-Let-Where-Order By-…Return) syntax for advanced XML querying. It also covers SQL Server's JSON data type introduced in SQL Server 2025 and the latest JSON functions added in SQL Server 2022, making it easier to build, query, and optimize structured data in modern SQL Server environmentsA new chapter explores how XML and JSON are used in SQL Server system processes, including DDL triggers, Extended Events, execution plan parsing, and SSIS code-behind, helping you automate diagnostics and streamline development workflows. Whether you are building automation scripts, integrating with front-end applications, or managing cross-platform data exchange, this book provides practical, ready-to-use solutions.Recipes are presented in a proven problem-solution format: look up the problem, read the solution, and apply it in your own code. Problem solved.What You Will LearnBuild XML and JSON objects to support automation, integration, and data transfer.Import and parse XML and JSON from operating system files and external sources.Construct and optimize indexes on XML data to improve query performance.Convert query result sets into JSON format and return them to tabular form.Automate performance diagnostics by querying and parsing execution plans in XML.Replace manual JSON workflows with SQL Server's built-in JSON functions.Use FLWOR syntax for advanced XML filtering and transformation.Work with the JSON data type introduced in SQL Server 2025.Apply new JSON functions added in SQL Server 2022 for efficient data handling.Parse and analyze Extended Events, SSIS code-behind, and DDL triggers using XML and JSON.Leverage XML and JSON in SQL Server system processes for automation and monitoring.Who This Book Is ForDatabase administrators, .NET developers, business intelligence developers, and other data professionals who need a deep, practical skill set for working with XML and JSON in SQL Server. Also useful for web developers who need to transform database result sets into JSON for front-end applications and for teams managing automation, integration, and cross-platform data exchange.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,85
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments.This book guides through the entire modern machine learning lifecycle. You ll…start with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You ll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance. Finally, you ll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you ll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.In the end, this book helps you build systems that are robust, auditable, and optimized whether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.What you will learn:Implement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.Fine tune and serve LLMs with LoRA/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.Design agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.Deploy and run production grade AI with MLOps/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.Who this book is for:This book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,85
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - Modern enterprises face growing friction between platform teams and product teams. Domain-Driven Platform Engineering offers a principled approach to align technical systems with business value. This book addresses this market gap with a deep, structured methodology supported by examples a…nd real-life case studies.The primary audience for this book includes software developers who are building domain-specific products. ' Domain refers to client or industry-specific capability products such as payments platforms, claims processing in insurance, revenue cycle management in healthcare, fulfillment orchestration in retail, or content lifecycle management in media, to name a few.The Domain-Driven Platform Engineering (DDPE) market is expanding rapidly as organizations confront the limits of generic platforms and seek to scale differentiated, domain-specific capabilities. Gartner predicts that 80% of software engineering organizations will have platform teams by 2026, while platform engineering is now a top-10 trend in enterprise IT modernization initiatives.This book provides timely, structured guidance as developers and engineering leaders increasingly look to merge domain expertise with platform thinking. Readers will engage with this book conceptually and practically, using it initially to shape mental models and alignment strategies between domains and platforms. Then, they will revisit specific chapters for maturity models, frameworks, and industry case studies as they build and evolve their domain-aligned platforms.You will:Adopt domain-driven practices to align platform engineering with business context and scale effectively.Apply practitioner playbooks with real-world case studies, blueprints, and hands-on implementation guidance.Implement governance and security patterns that ensure reliability, compliance, and resilience in enterprise platforms.This book is for: Enterprise Architects ,Technology Leaders, DevOps and Cloud Engineers.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,85
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - Master advanced features in Rust. With this book, you will learn to write robust, production-grade code by exploring powerful language capabilities essential for real-world development.Dive into the advanced language features and nuanced concepts that are typically underrepresented in main…stream Rust literature and courses. Topics include lifetime relationships, coercion, trait object safety, down casting, drop check, and more. As Rust continues to gain traction in systems programming, web services, and embedded development, mastering its advanced concepts is more important than ever. This book brings together complex Rust knowledge in a clear, accessible format, helping you build your foundational skills while navigating the language s sometimes challenging learning curve.In the end, you ll gain the skills and confidence to write safe, idiomatic Rust code, while enhancing your resume with advanced, career-boosting Rust expertise.What You Will Learn:Understand and implement advanced error handling strategies in RustMaster lifetime relationships, coercion rules, and trait limitations and varianceGain practical knowledge on drop check and down castingImprove code safety and readability using combinators and structured loggingWho This Book is for:Intermediate to Advanced developers who have a foundational understanding of Rust and are eager to advance their skills to the next level.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,85
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - Discover how real iOS teams build, ship, and scale apps in production environments.This book goes beyond frameworks and tutorials to show how development actually works across startups, product teams, and indie developers. Instead of focusing on ideal solutions, it reveals how teams make d…ecisions under real constraints, balancing speed, quality, and long-term maintainability.Through interviews with experienced iOS developers, tech leads, and teams, the book explores key areas such as architecture, testing, CI/CD, navigation, data management, and team workflows. The book highlights patterns, tensions, and real-world challenges that shape production apps.Unlike traditional iOS books that focus on APIs or best practices in isolation, this book connects the full development lifecycle into one coherent picture. It shows how architectural decisions affect testing, how workflows influence product quality, and how teams evolve their systems over time. By focusing on real-world practices instead of theory, it gives readers a deeper understanding of how modern iOS development actually works.What You'll Learn Understand how real iOS teams approach architecture, testing, and workflows Evaluate trade-offs between tools, patterns, and team constraints Design CI/CD pipelines and manage release processes Structure navigation, data, and user experience in production apps Apply insights from real-world teams to your own projects Improve collaboration through Git workflows and code reviewsWho Is This Book ForThis book is for intermediate iOS developers who want to understand how real teams build and scale apps. It is also valuable for senior developers and team leads looking to improve architecture, workflows, and collaboration practices.
- Brossura
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Master advanced features in Rust. With this book, you will learn to write robust, production-grade code by exploring powerful language capabilities essential for real-world development.Dive into the advanced language features and nuanced concepts that are typically underrepresented in mains…tream Rust literature and courses. Topics include lifetime relationships, coercion, trait object safety, down casting, drop check, and more. As Rust continues to gain traction in systems programming, web services, and embedded development, mastering its advanced concepts is more important than ever. This book brings together complex Rust knowledge in a clear, accessible format, helping you build your foundational skills while navigating the language's sometimes challenging learning curve.In the end, you'll gain the skills and confidence to write safe, idiomatic Rust code, while enhancing your resume with advanced, career-boosting Rust expertise.What You Will Learn:- Understand and implement advanced error handling strategies in Rust- Master lifetime relationships, coercion rules, and trait limitations and variance- Gain practical knowledge on drop check and down casting- Improve code safety and readability using combinators and structured loggingWho This Book is for:Intermediate to Advanced developers who have a foundational understanding of Rust and are eager to advance their skills to the next level.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 296 pp. Englisch.
- Brossura
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Modern enterprises face growing friction between platform teams and product teams. Domain-Driven Platform Engineering offers a principled approach to align technical systems with business value. This book addresses this market gap with a deep, structured methodology supported by examples an…d real-life case studies.The primary audience for this book includes software developers who are building domain-specific products. ' Domain" refers to client or industry-specific capability products such as payments platforms, claims processing in insurance, revenue cycle management in healthcare, fulfillment orchestration in retail, or content lifecycle management in media, to name a few. The Domain-Driven Platform Engineering (DDPE) market is expanding rapidly as organizations confront the limits of generic platforms and seek to scale differentiated, domain-specific capabilities. Gartner predicts that 80% of software engineering organizations will have platform teams by 2026, while platform engineering is now a top-10 trend in enterprise IT modernization initiatives.This book provides timely, structured guidance as developers and engineering leaders increasingly look to merge domain expertise with platform thinking. Readers will engage with this book conceptually and practically, using it initially to shape mental models and alignment strategies between domains and platforms. Then, they will revisit specific chapters for maturity models, frameworks, and industry case studies as they build and evolve their domain-aligned platforms. You will:Adopt domain-driven practices to align platform engineering with business context and scale effectively.Apply practitioner playbooks with real-world case studies, blueprints, and hands-on implementation guidance.Implement governance and security patterns that ensure reliability, compliance, and resilience in enterprise platforms.This book is for: Enterprise Architects ,Technology Leaders, DevOps and Cloud EngineersLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 240 pp. Englisch.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
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Taschenbuch. Condizione: Neu. Neuware -This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments.This book guides through the entire modern machine learning lifecycle. You'll s…tart with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You'll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance. Finally, you'll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you'll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.In the end, this book helps you build systems that are robust, auditable, and optimizedwhether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.What you will learn:Implement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.Fine tune and serve LLMs with LoRA/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.Design agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.Deploy and run production grade AI with MLOps/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.Who this book is for:This book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 443 pp. Englisch.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
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Taschenbuch. Condizione: Neu. Neuware -Discover how real iOS teams build, ship, and scale apps in production environments.This book goes beyond frameworks and tutorials to show how development actually works across startups, product teams, and indie developers. Instead of focusing on ideal solutions, it reveals how teams make de…cisions under real constraints, balancing speed, quality, and long-term maintainability.Through interviews with experienced iOS developers, tech leads, and teams, the book explores key areas such as architecture, testing, CI/CD, navigation, data management, and team workflows. The book highlights patterns, tensions, and real-world challenges that shape production apps.Unlike traditional iOS books that focus on APIs or best practices in isolation, this book connects the full development lifecycle into one coherent picture. It shows how architectural decisions affect testing, how workflows influence product quality, and how teams evolve their systems over time. By focusing on real-world practices instead of theory, it gives readers a deeper understanding of how modern iOS development actually works.What You'll Learn Understand how real iOS teams approach architecture, testing, and workflows Evaluate trade-offs between tools, patterns, and team constraints Design CI/CD pipelines and manage release processes Structure navigation, data, and user experience in production apps Apply insights from real-world teams to your own projects Improve collaboration through Git workflows and code reviewsWho Is This Book ForThis book is for intermediate iOS developers who want to understand how real teams build and scale apps. It is also valuable for senior developers and team leads looking to improve architecture, workflows, and collaboration practices.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 279 pp. Englisch.
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Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,88
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Master advanced features in Rust. With this book, you will learn to write robust, production-grade code by exploring powerful language capabilities essential for real-world development.Dive into the advanced language features and nuanced concepts that are typically underrepresented in mains…tream Rust literature and courses. Topics include lifetime relationships, coercion, trait object safety, down casting, drop check, and more. As Rust continues to gain traction in systems programming, web services, and embedded development, mastering its advanced concepts is more important than ever. This book brings together complex Rust knowledge in a clear, accessible format, helping you build your foundational skills while navigating the language's sometimes challenging learning curve.In the end, you'll gain the skills and confidence to write safe, idiomatic Rust code, while enhancing your resume with advanced, career-boosting Rust expertise.What You Will Learn:Understand and implement advanced error handling strategies in RustMaster lifetime relationships, coercion rules, and trait limitations and varianceGain practical knowledge on drop check and down castingImprove code safety and readability using combinators and structured loggingWho This Book is for:Intermediate to Advanced developers who have a foundational understanding of Rust and are eager to advance their skills to the next level. 296 pp. Englisch.
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Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,88
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Modern enterprises face growing friction between platform teams and product teams. Domain-Driven Platform Engineering offers a principled approach to align technical systems with business value. This book addresses this market gap with a deep, structured methodology supported by examples an…d real-life case studies.The primary audience for this book includes software developers who are building domain-specific products. ' Domain" refers to client or industry-specific capability products such as payments platforms, claims processing in insurance, revenue cycle management in healthcare, fulfillment orchestration in retail, or content lifecycle management in media, to name a few. The Domain-Driven Platform Engineering (DDPE) market is expanding rapidly as organizations confront the limits of generic platforms and seek to scale differentiated, domain-specific capabilities. Gartner predicts that 80% of software engineering organizations will have platform teams by 2026, while platform engineering is now a top-10 trend in enterprise IT modernization initiatives.This book provides timely, structured guidance as developers and engineering leaders increasingly look to merge domain expertise with platform thinking. Readers will engage with this book conceptually and practically, using it initially to shape mental models and alignment strategies between domains and platforms. Then, they will revisit specific chapters for maturity models, frameworks, and industry case studies as they build and evolve their domain-aligned platforms. You will:Adopt domain-driven practices to align platform engineering with business context and scale effectively.Apply practitioner playbooks with real-world case studies, blueprints, and hands-on implementation guidance.Implement governance and security patterns that ensure reliability, compliance, and resilience in enterprise platforms.This book is for: Enterprise Architects ,Technology Leaders, DevOps and Cloud Engineers 268 pp. Englisch.
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Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,88
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments.This book guides through the entire modern machine learning lifecycle. You'll s…tart with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You'll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance. Finally, you'll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you'll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.In the end, this book helps you build systems that are robust, auditable, and optimizedwhether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.What you will learn:Implement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.Fine tune and serve LLMs with LoRA/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.Design agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.Deploy and run production grade AI with MLOps/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.Who this book is for:This book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale. 480 pp. Englisch.
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Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,88
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware -Discover how real iOS teams build, ship, and scale apps in production environments.This book goes beyond frameworks and tutorials to show how development actually works across startups, product teams, and indie developers. Instead of focusing on ideal solutions, it reveals how teams make de…cisions under real constraints, balancing speed, quality, and long-term maintainability.Through interviews with experienced iOS developers, tech leads, and teams, the book explores key areas such as architecture, testing, CI/CD, navigation, data management, and team workflows. The book highlights patterns, tensions, and real-world challenges that shape production apps.Unlike traditional iOS books that focus on APIs or best practices in isolation, this book connects the full development lifecycle into one coherent picture. It shows how architectural decisions affect testing, how workflows influence product quality, and how teams evolve their systems over time. By focusing on real-world practices instead of theory, it gives readers a deeper understanding of how modern iOS development actually works.What You'll Learn Understand how real iOS teams approach architecture, testing, and workflows Evaluate trade-offs between tools, patterns, and team constraints Design CI/CD pipelines and manage release processes Structure navigation, data, and user experience in production apps Apply insights from real-world teams to your own projects Improve collaboration through Git workflows and code reviewsWho Is This Book ForThis book is for intermediate iOS developers who want to understand how real teams build and scale apps. It is also valuable for senior developers and team leads looking to improve architecture, workflows, and collaboration practices. 279 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 29,95
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Start your development process with a blueprint. Most teams jump into coding and leave documentation for later, if at all. Too often this leads to maintenance issues, stalled modernization, and poor business alignment. Spec-driven…development flips the order: the specification becomes the single source of truth that drives code, tests, and validation.This pocket guide introduces the AI Unified Process, a lightweight framework that makes Spec-driven development practical in the age of generative AI. It shows how specs (requirements, use cases, entity models) can act as contracts, enabling AI agents and modern tools to generate, validate, and evolve software with far less guesswork.Designed for busy teams, this book focuses on the principles of spec-first development, with AI Unified Process skills and templates as the primary enabler. It also introduces emerging tools like Amazon Kiro and GitHub Spec Kit for context. Alongside practical methodology, you ll work through a hands-on case study that takes you from requirements to executable code. By the end, you ll understand how to apply Spec-driven Development in practice, avoid common pitfalls, and integrate AI into a disciplined, scalable workflow.What You Will LearnCapture requirements in lightweight specsTreat specs as executable contracts for code generation and testingApply the AI Unified Process to projects and team workflowsIntegrate AI agents into a spec-driven lifecyceWho this Book is for:Software developers, tech leads, and architects with basic programming knowledge. No prior experience with requirements engineering or AI tools is required. 152 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 37,44
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -You ve mastered the craft.You ve delivered the work.Now you re asked to lead.What now Creative leadership is a transformation. One day you re making, designing, writing, or building. The next you re leading others, navigating feedb…ack, defending ideas, and inspiring a team while protecting the creative spark that got you there in the first place. This book is an honest guide to stepping into that role. Drawing on two decades of experience, author Peter Allinson shares 25 hard-won lessons of creative leadership: building trust, giving feedback, shaping team culture, and guiding others through uncertainty. Part practical guide, part personal reflection, part nervous breakdown, this work is a companion for anyone taking their first steps into leadership, moving into management, or looking for a fresh perspective on leading creative people. Through stories, mistakes, successes, and painful lessons, Allinson explores what it really takes to grow as a leader, highlighting the good, the bad, and the messy. Whether you re stepping into leadership for the first time, growing into a bigger role, or preparing for the leap ahead, Leading with Creativity (Without Losing Your Mind) will help you embrace the chaos and lead with clarity, courage, and empathy while staying true to your creative instincts. 217 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,65
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a world flooded with data but starved for insight, this book gives data leaders the blueprint they ve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize va…lue from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most data rich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a hands on guide that shows you how to design high impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you ll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you ll learn to leverage it as a catalyst for innovation and scale.Whether you re steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AI 357 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,65
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, th…is book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAP's unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritization-backed by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals 141 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 58,84
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Whether you're a student, a career changer, or an early-career professional, this book offers a practical, hands-on introduction to Windows security fundamentals from both offensive and defensive perspectives. With over 100 exercis…es designed to reinforce key concepts, readers will gain real-world experience in securing domain-joined and stand-alone Windows systems.The journey begins with PowerShell-an essential tool for both administrators and attackers. You'll learn how PowerShell history is recorded, how credentials are managed, and how scripts can be obfuscated or monitored. From there, the book explores Windows users and groups, the logon process, access tokens, and User Account Control (UAC), providing a clear understanding of how Windows manages identity and privilege.Readers will dive into password hash storage and cracking techniques using tools like John the Ripper, and explore how rights and privileges are assigned through group memberships. The book also covers the Windows file system in depth, including symbolic links, alternate data streams, and the Mark of the Web, along with techniques for managing file permissions and discretionary access control lists (DACLs).You'll gain insight into Windows processes and services, learn how to view and manage them effectively, and understand key boot processes and process integrity. Each chapter builds practical skills that prepare you to think like both an attacker and a defender-essential for anyone entering the cybersecurity field.WHAT YOU WILL LEARN Hands-on experience with the security of domain-joined and stand-alone Windows systems.Create and manage local and domain users on a Windows system, will understand how and where their password hashes are stored, and be able to crack Windows passwords with John the Ripper.How Windows assigns privileges and rights to users and groups, including how access tokens are assigned and how they are used in User Account Control (UAC).How the Windows file system is organized, including shortcuts, symbolic links, junctions, alternate data streams, and the Mark of the Web; the reader will be able to view and manage file permissions and discretionary access control lists (DACLs).How to view and manage processes and services in Windows. WHO THIS BOOK IS FOR:Ideal for computer science students, early-career professionals, and career changers looking to build a strong foundation in Windows security. Whether used in the classroom or for self-study, this book equips readers with the hands-on experience needed to succeed in cybersecurity. 512 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Large Language Models (LLMs) are rapidly transforming how enterprisesoperate, powering customer support, internal assistants, automated workflows, search, analytics, and decision-making systems. But as organizations adopt AI at sca…le, they are also introducing a new and expanding attack surface. Jailbreaking LLMs explores how attackers manipulate AI systems through prompt injection, jailbreaks, adversarial inputs, data poisoning, context manipulation, retrieval attacks, and unsafe tool usage to bypass safeguards, leak sensitive data, and influence AI behavior in unexpected ways.This book provides a practical guide to understanding, testing, and defending enterprise AI systems in the real world. Through real attack scenarios, security frameworks, red-teaming methodologies, governance strategies, and defensive architecture patterns, readers will learn how to build secure, resilient, and enterprise-ready LLM deployments. Covering everything from RAG security and agentic systems to incident response, AI governance, runtime monitoring, and future attack trends, this book connects AI innovation with modern cybersecurity practices.What you will learnUnderstand how LLM jailbreaks, prompt injection, and adversarial attacks work 737 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Develop a thorough grasp of artificial intelligence through practical implementations in Julia. This trailblazing book covers classical AI algorithms and provides practical implementations of agile AI applications, highlighting Jul…ia's versatility and high-performance capabilities for AI development.This book takes a practical approach to ensure that readers translate theoretical concepts into tangible, real-world scenarios. Along the way, you will learn and implement neural networks, genetic algorithms, and neuroevolution from scratch. Author Dr. Alexandre Bergel uses practical examples, such as solutions to the traveling sales problem and a fun platform game (including a random level generator) to reinforce AI techniques. It also introduces Darwinian evolution principles, demonstrating how to evolve zoomorphic organisms to solve particular tasks, such as stair climbing or going over obstacles.This book stands out as among the earliest to delve into Genertic Algorithms and Neuroevolutions in Julia, and it is one of the few available that offers a comprehensive implementation of Neuroevolution. It is equally as fun as it is informative, providing readers with source code to play along with and apply to future projects.What You Will Learn: Solve simple classification tasks using neural networksUse genetic algorithms tosolve complex algorithmic problemsApply Darwinian evolution principles to evolve artificially living creaturesDiscover how to Neuroevolution to build an artificial player to solve a platform gameWho This Book is For: This book is written for software engineers, programmers and developers who are eager to gain practical insights into AI implementation using Julia at a beginner/intermediate level 297 pp. Englisch.
