Move from experimentation to real-world deployment with LLM and agentic applications powered by prompting, RAG, fine-tuning, and evaluation. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Design LLM apps by combining prompting, RAG, fine-tuning, and agents
• Evaluate reliability, quality, and safety across real-world AI workflows
• Build production-ready generative AI systems with practical trade-offs
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand LLMs, transformers, embeddings, and inference
• Apply prompt engineering for reliable model behavior
• Build RAG pipelines that improve grounding and accuracy
• Choose between prompting, RAG, and fine-tuning wisely
• Solve NLP tasks from summarization to information extraction
• Design AI agents with tools, memory, and planning
• Evaluate agents and LLM apps with practical metrics
• Deploy robust, scalable, and responsible AI systems

Who this book is for

This book is for AI Engineers, data scientists, software engineers, applied AI practitioners, technical leads, and engineering-focused product managers who want to build production-ready applications with LLMs and AI agents. It suits readers moving from traditional software development or classical machine learning into generative AI systems. You should be comfortable with programming in Python or a similar language and understand core software engineering concepts such as APIs, data structures, and integration. Prior deep learning or LLM training experience is not required.

Description
Data science is one of the fastest-growing fields in technology today, powering decisions across industries through data-driven insights, machine learning, and advanced analytics.

The book journeys from the fundamentals of data science to the advanced concepts and applications in the present-day computer vision techniques and data analysis. It covers the full data science pipeline, beginning with core fundamentals, ethics, and the analytics lifecycle, moving through data preprocessing, visualization, and a strong statistical foundation covering probability theory, Bayesian inference, and Monte Carlo simulation. This second edition expands on the first with two dedicated machine learning and deep learning chapters, adding AutoML, reinforcement learning, graph neural networks, transformer networks, and hybrid big data processing architectures.

By the end of this book, readers will emerge as competent data practitioners equipped with a thorough understanding of data science concepts. They will have gained the technical proficiency to use modern tools such as Python, PyTorch, TensorFlow, and data visualization tools, along with the analytical skills required for business problem-solving and data-driven decision-making across diverse real-world domains.

What you will learn
? Comprehensive understanding of the data science lifecycle and core tools.
? Building supervised, unsupervised, and semi-supervised learning models in Python.
? Performing time series analysis using ANN, SVM, and stochastic models.
? Developing deep learning models using CNN, RNN, and encoder-decoder networks.
? In this 2nd edition, explore AutoML, Transformers, and expanded deep learning.
? Conducting social media analytics through text mining and trend detection.
? Applying business analytics, financial modelling, and fraud detection strategies.
? Working with Hadoop ecosystem tools for scalable big data analytics.

Who this book is for
This book is designed for students, researchers, data analysts, and professionals such as software engineers, business analysts, and aspiring data scientists who seek a strong foundation in data science. It also serves educators and industry practitioners aiming to apply analytical and machine learning techniques to real-world challenges.

Table of Contents
1. Fundamentals of Data Science
2. Data Preprocessing
3. Data Plotting and Visualization
4. Statistical Data Analysis
5. Advanced and Computational Statistical Analysis Techniques
6. Machine Learning for Data Science
7. Advanced Machine Learning for Data Science
8. Time-series Analysis
9. Deep Learning for Data Science
10. Advanced Architectures in Deep Learning for Data Science
11. Social Media Analytics
12. Business Analytics
13. Big Data Analytics

Description
As systems grow in complexity and scale, performance engineering has become a specialized discipline rather than an afterthought. Linux remains the execution environment for most performance-critical workloads, making a deep understanding of its internals, metrics, and behavior essential for performance specialists.

This book delivers a systematic approach to Linux performance engineering, combining theory with practical analysis. It covers core performance metrics, kernel evolution, and formal methodologies for measurement and diagnosis. It explores advanced use of Linux performance tools, workload analysis techniques, queueing models, and bottleneck theory, along with real-world considerations for tuning and optimization across CPU, memory, storage, and networking subsystems.

After completing this book, performance specialists will be able to conduct rigorous performance investigations, explain system behavior with clarity, and apply targeted optimizations backed by data. They will be prepared to analyze complex Linux systems, defend performance decisions, and drive measurable improvements in system efficiency and scalability. You will also possess the practical skills to optimize any Linux environment, from physical servers to cloud-native containers.

Unlock the full potential of Google Analytics 4 with step-by-step guidance on setting up tracking, analyzing user data, and integrating advanced tools to enhance your digital marketing insights.

Key Features

• Detailed guidance on setting up and structuring GA4 accounts and data streams
• Insights into using custom events and advanced reporting tools like BigQuery
• Step-by-step troubleshooting tips to ensure data accuracy and compliance

Book Description

What you will learn

• Set up Google Analytics 4 accounts, properties, and data streams
• Implement Google Tag Manager and Consent Mode for tracking
• Create and edit custom events and conversions
• Understand AI integration in web analytics
• Analyze user data across multiple platforms
• Use BigQuery and Looker Studio for in-depth analysis

Who this book is for

This book is perfect for digital marketers, analysts, and developers eager to master Google Analytics 4. While no prior GA4 experience is required, familiarity with analytics concepts, web development, and privacy laws will help. It's designed to equip professionals with practical skills to optimize their web and app tracking.

Learn Clean Architecture as a set of organizing principles, not just code templates. This book shows how to design scalable, testable .NET apps using modern patterns, DDD, CQRS, and secure Azure integration. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Architect robust .NET apps with domain-driven, testable Clean Architecture
• Integrate Azure External ID and Key Vault with real-world cases
• Apply MediatR, CQRS, and modern .NET practices to streamline architecture
• Implement persistence with EF Core using a code-first approach and Clean Architecture boundaries
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Design scalable .NET applications with Clean Architecture principles
• Structure core logic using use cases, CQRS, and domain modeling
• Integrate Azure External ID, Key Vault, and secure service configurations
• Use EF Core with a code-first approach to manage database schemas and persistence
• Apply MediatR and FluentValidation for streamlined workflows
• Build rich UIs using Blazor Server and MudBlazor
• Build scalable multi-host applications with structured, transparent service composition
• Reduce architectural boilerplate while maintaining structure

Who this book is for

.NET developers, software engineers, and solution architects who want to build applications that are easier to understand, test, and evolve over time. This book is a good fit if you’re already familiar with C# and .NET, and want a clearer, more practical way to structure real-world applications using Clean Architecture. Basic knowledge of web development and Azure will help you follow along.

Explore the design of a RISC-V DSP processor using the SpringCore architecture, covering pipeline design, DSP acceleration, LLVM toolchain support, debugging with OpenOCD, and integration into a real SoC

Key Features

• Explore the SpringCore RISC-V DSP architecture and its custom ISA extensions
• Understand an 8-stage pipelined processor with Harvard memory and interrupt handling
• Examine the software ecosystem, including LLVM, Eclipse IDE, and OpenOCD debugging

Book Description

What you will learn

• Understand DSP design principles and the RISC-V architecture
• Design custom ISA extensions for DSP acceleration
• Build an 8-stage pipelined RISC-V processor
• Implement high-performance MAC and multiplier units
• Design Harvard memory systems with protection mechanisms
• Optimize interrupt handling for real-time control
• Extend the LLVM backend for the SpringCore processor
• Develop software using the Eclipse IDE and OpenOCD debugging

Who this book is for

This book is for computer architects, embedded systems engineers, DSP engineers, and RTL/FPGA designers interested in RISC-V processor implementation. It is also suitable for graduate students and researchers in computer architecture, VLSI, and SoC design who want to explore the SpringCore DSP architecture and its implementation. Familiarity with digital logic and processor architecture will help readers get the most from this book.

Create original 3D games by combining Blender 5's modeling tools with Unity 6's real-time engine in a streamlined, procedural workflow Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Integrate Blender 5 and Unity 6 for seamless 3D game development
• Use procedural geometry, asset linking, and automation tools
• Automate asset export and scene updates with Python

Book Description

What you will learn

• Create and modify assets seamlessly with Blender
• Share non-mesh information like animation and transforms
• Use the Asset Browser and the .fbx pipeline for fast exchange
• Use Geometry Nodes and modifiers to create procedural models
• Implement export routines with Python
• Refine drafted scenes with Blender

Who this book is for

This book is ideal for solo developers, technical artists, and small studios who want to unify their creative and technical workflows using Blender and Unity. Whether you’re a Unity user looking to move away from costly 3D tools or a Blender artist eager to bring your creations to life through gameplay, this book will walk you through every step of the production pipeline. Production managers and visual artists interested in migrating their pipeline to Blender/Unity would also benefit.

Master Swift programming from setup to advanced app development. Learn syntax, functions, control flow, error handling, and concurrency to build real-world iOS applications with Swift.

Key Features

• Step-by-step guidance on setting up and using the Swift development environment.
• Practical examples of programming concepts, including functions, optionals, and closures.
• Advanced techniques for concurrency, error handling, and working with Swift modules.

Book Description

What you will learn

• Set up the Swift development environment for iOS development
• Understand Swift syntax and data types, including variables and constants
• Master control flow, loops, and conditional statements in Swift
• Learn to write and call functions, including closures and nested functions
• Work with optionals and handle errors effectively
• Develop advanced concepts like structs, classes, and protocols

Who this book is for

This book is ideal for aspiring iOS developers, programming enthusiasts, and anyone looking to learn Swift from the ground up. It is suitable for beginners who are new to programming, as well as developers with experience in other languages like Python or Java. A basic understanding of programming concepts will help, but no prior Swift knowledge is required. The book is designed to guide readers through every concept with hands-on examples and practical advice.

Description
LLMs and GenAI are paving the way for almost all modern applications and transforming all organizations by providing automation, natural language processing, and tailored user experiences. However, these rapid technological advancements come with a unique set of security, privacy, and ethical challenges that require all parties involved to take appropriate measures.

This book will offer a comprehensive guide to security of AI-integrated applications, providing readers with knowledge of the principles of AI application security with practical and actionable insights, and enabling them to identify threats, understand risks, utilize different testing methods, and integrate security best practices at each stage throughout the software development lifecycle.

By the end of this book, the readers will have a holistic perspective of all the critical areas of AI-based applications security. This deep understanding will help readers make secure choices for AI developments/integrations, assess vulnerabilities, develop mitigation techniques, and incorporate privacy and ethical AI practices. The readers can create safe, compliant, and responsible AI applications.

Description
Modern frontend development is the art of building the digital bridge between users and technology, and mastering it requires more than just code. It requires not only technical expertise in UI/UX principles and web technologies, but a deep understanding of the psychological mechanisms that determine whether users engage with or leave the screens we build.

This book bridges the gap between design and development through a structured approach. Readers will explore the psychology that governs human perception, understanding the cognitive mechanisms behind user engagement. It covers UI/UX principles, design fundamentals, and accessibility standards, equipping readers to craft intuitive and engaging user experiences grounded in psychological insight. It will build a solid foundation in HTML, CSS, and JavaScript, enabling you to create responsive, dynamic web applications. It covers the essential building blocks of modern web development and helps implement contemporary JavaScript techniques. The final section addresses concrete implementation with the most popular frontend frameworks, Blazor, React, and Angular.

By the end of this book, readers will be equipped to build interactive, scalable, and user-friendly web experiences that stand out in today's competitive digital landscape, combining psychological understanding with technical proficiency.

This book presents an exhaustive analytical history of the great Spanish publishing house Editorial Gustavo Gili, specifically the scientific and technological works in its catalogue that were published during the years of the Franco regime. The history recounted in the book, however, is rather unconventional, a cultural history that analyzes the publishing house through its publications and how they took shape in the hands of the actors involved in their preparation during the different phases of production, promotion, and sales. All these concerns are taken into account in a work that establishes science on paper, examining the myriad issues related to the reception and reading of technical books in Franco’s Spain.

Get started with building your first games on the Roblox platform Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Begin coding in Luau: build player avatars, battlefields, game physics, countdown timers, and more
• Learn tips, tricks, best practices, and advanced Roblox coding techniques to create 3D games
• Join the Discord server to discuss queries, provide solutions, and ask Zander for advice on your games

Book Description

What you will learn

• Learn coding in Luau: basics, game systems, physics manipulation, and more
• Test, evaluate, and redesign to create bug-free and engaging games
• Move from the lobby to the battleground, build avatars, and locate weapons to fight
• Explore character selection, countdown timers, locate escape items, and assign rewards
• Boost your games' performance with AI and analytics
• Master the 3 Ms: mechanics, monetization, marketing
• Discover 50 cool things to do on Roblox

Who this book is for

This book is the perfect starting point for anyone looking to create games on the Roblox platform. Whether you're an aspiring young game creator, a parent or educator guiding a young learner, or an adult hobbyist exploring game development, this guide will walk you through building and sharing Roblox games using Luau and Roblox Studio. The book requires no prior knowledge of game development or programming.

Gain an up-to-date, practical understanding of Microsoft Defender for Endpoint and learn how to run it reliably in real environments with this expert-led practitioner's guide. Purchase of the print or Kindle book includes a free PDF eBook

Key Features

• Understand and compare Defender endpoint security capabilities on all supported operating systems
• Learn how to deal with complex deployment and configuration scenarios
• Find new ways of tuning the product to your specific environment
• Set yourself up for success by preparing for incidents with recommendations from seasoned professionals

Book Description

What you will learn

• Explore the current Defender for Endpoint architecture and capabilities
• Clarify how next-gen protection, ASR, and EDR work together
• Prepare a deployment plan that fits your estate, risk, and existing tools
• Roll out Defender for Endpoint to production in staged, testable phases
• Protect mobile devices using Defender for Endpoint and MTD
• Tune alerts, exclusions, and policies for different scenarios and assets
• Support SecOps investigations using incidents, hunting, and device data
• Diagnose common health, connectivity, and performance issues in live estates

Who this book is for

This book is for cybersecurity professionals, security engineers, incident responders, endpoint administrators, and IT pros who are responsible for planning, deploying, or operating Microsoft Defender for Endpoint. It assumes a basic understanding of systems management, endpoint security, security baselines, and networking. Returning readers get updated, real-world guidance plus new coverage of mobile devices, production rollouts, and tuning. New readers get a structured introduction from core concepts to deployment, operations, and troubleshooting.

Build practical C# and .NET 10 projects - from games and web apps to AI chatbots and machine learning tools - while learning modern patterns, libraries, and workflows. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Learn by building practical .NET applications for real-world use
• Develop cross-platform apps, games, web APIs, and AI integrations
• Master new C# and .NET features through creative, hands-on projects

Book Description

What you will learn

• Build an adventure game console app with Spectre.Console
• Create infinite world simulations using procedural generation
• Build RESTful APIs using ASP.NET Core and Entity Framework
• Design a cross-platform chatbot using Uno Platform
• Use object-oriented programming and unit tests to recreate the Enigma machine
• Develop browser-based apps with Blazor and JavaScript interop
• Train and use ML.NET models in your own applications
• Explore game development with MonoGame and .NET

Who this book is for

C# developers eager to deepen their practical knowledge of .NET by building meaningful and creative projects. Suitable for professionals and hobbyists alike, this book is ideal for those who enjoy learning through experimentation. Readers should have a basic understanding of C# and familiarity with the .NET ecosystem.

Learn how to apply proven software design patterns to build scalable and maintainable systems, from object-oriented principles to microservices and cloud solutions.

Key Features

• In-depth exploration of design patterns and their real-world applications
• Clear explanation of architectural styles and principles for robust systems
• Practical insights into microservices, cloud development, and system resilience

Book Description

What you will learn

• Identify core design patterns for software development
• Understand key software architecture styles
• Learn object-oriented design principles
• Master design patterns like Factory Method and Singleton
• Implement architectural patterns in cloud systems
• Apply best practices in clean code

Who this book is for

This book is intended for software developers and architects with a foundational knowledge of programming. It’s perfect for professionals eager to enhance their skills in software design and architecture. While familiarity with object-oriented programming is helpful, it is not mandatory. Ideal for those working with microservices or cloud-based systems.

The cybersecurity architect is not just a technician — they are a tactician in the ever-present war in cyberspace. The Cybersecurity Architect's Handbook, 2nd Edition takes you from foundational security principles through Zero Trust, AI security, cloud-native architecture, and critical infrastructure protection, blending hands-on technical expertise with the strategic wisdom of The Art of War. Design it. Build it. Defend it.

Key Features

• Covers modern cybersecurity foundations from CIA triad to threat modeling and secure development
• Provides industry-specific architecture patterns for AI, finance, healthcare, cloud, critical infrastructure
• Career pathways from entry-level to cybersecurity architect, with certs, tools, and adaptability

Book Description

What you will learn

• Hands-on labs and scenario exercises covering access, crypto, and BCP/DR
• Implement Zero Trust with identity controls, micro-segmentation, and migration
• Learn cybersecurity architecture principles and design through lifecycle scenarios
• Rationalize tools by streamlining your toolkit and aligning with business
• Address architecture challenges by mitigating threats and adapting strategies
• Design security architectures for AI, finance (PCI, GLBA, SOX), HIPAA, cloud, ICS/SCADA
• Use Sun Tzu's strategies to become a tactician and leader in cybersecurity

Who this book is for

This book is for aspiring cybersecurity architects who want foundational knowledge and a roadmap to think and operate as architects. It’s also suited for practicing security professionals seeking to move from tactical, tool-focused work to strategic architectural thinking and decision-making. It will benefit current cybersecurity and solution architects aiming to expand expertise in AI security and Zero Trust while strengthening transferable frameworks. Technology leaders or IT managers who want to align security strategy with business objectives and governance will find this book essential.

Description
Google Cloud Platform (GCP) has emerged as a premier leader in cloud analytics, making data engineering skills more critical than ever for modern business success. The current evolution of generative artificial intelligence (AI) and agentic AI has created a significant demand in the data engineering discipline since the accuracy and effectiveness of AI output primarily depend on the quality of data. Ensuring high-quality, curated data requires a robust and scalable data engineering platform that can cater to the velocity, veracity, and volume of data.

Google is a pioneer in data engineering solutions, which are provided through its GCP. Many of the Fortune 500 companies leverage GCP’s services for transforming petabytes of data for analytics, AI, and machine learning (ML). This book begins with data engineering essentials like ETL, ELT, and big data roles before moving into GCP environment setup and security. You will learn BigQuery for data warehousing and SQL optimization, followed by real-time ingestion using Pub/Sub, Dataflow, and Datastream. You will learn to integrate machine learning via Vertex AI pipelines. Finally, it will provide the skills to use the processed data for analytics, AI, and ML use cases.

After finishing this book, you will possess the technical competence to design, build, and monitor professional-grade data solutions on Google Cloud. You will be ready to tackle real-world challenges, from automating complex workflows to leveraging AI for predictive analytics in any enterprise environment.

Description
Agentic AI represents a paradigm shift in artificial intelligence, moving beyond simple chatbots to autonomous systems that can reason, plan, and execute complex tasks with minimal human intervention. As organizations race to harness this transformative technology, the demand for practical guidance on building production-ready AI agents has never been greater.

This comprehensive guide takes you through the complete journey of agentic AI development. Beginning with foundational concepts and theoretical frameworks, you will explore how large language models serve as cognitive cores for intelligent agents. The book covers essential design patterns, tool integration, and memory systems before diving into engineering practices, including development lifecycle, performance optimization, testing, and observability. You will learn deployment strategies, security considerations, and ethical frameworks essential for responsible AI development. The final chapters showcase real-world enterprise and consumer applications and predict the future evolution of the technology and its use cases.

By the end of this book, you will possess the skills to architect, build, deploy, and maintain sophisticated agentic AI systems. Whether you are developing internal enterprise tools or customer-facing AI products, this guide provides the practical knowledge needed to bring autonomous AI agents from concept to production.

Description
Time series forecasting is driving decision-making in everything from financial markets to supply chain logistics. This book provides a hands-on roadmap to mastering this technology, bridging the gap between classical statistical rigor and cutting-edge artificial intelligence.

Understand time series fundamentals by exploring decomposition, stationarity, and ACF/PACF analysis before mastering preprocessing and feature engineering. You will build foundational ARIMA, SARIMA, and Holt-Winters’ models before pivoting to machine learning with XGBoost and Scikit-learn. The journey accelerates into deep learning, designing RNNs, LSTMs, and hybrid CNN-LSTM architectures for univariate and multivariate forecasting. After exploring advanced VAR and VECM models, you will implement walk-forward validation and professional error metrics. The final sections cover scalability and MLOps, teaching you to handle big data with Dask and deploy production-ready models via FastAPI and Apache Kafka.

By the end of this book, you will be a competent practitioner capable of building high-performance forecasting pipelines for stock prices, demand, and sensor data. You will possess the technical expertise to deploy scalable, ethical, and accurate models in real-world cloud environments with confidence.

Build production-ready AI agents on Salesforce Agentforce with Atlas Reasoning Engine, Data Cloud, Flow, and Apex Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build intelligent, autonomous AI agents with the Agent Builder and the Atlas Reasoning Engine
• Extend agents with Apex, Flow, and secure integrations across Data Cloud
• Deploy, monitor, and optimize agents at scale with DevOps and Agent Analytics

Book Description

What you will learn

• Design AI agents using Agentforce Topics, Actions, and Instructions
• Build agent-ready data foundations with Data Cloud and semantic search
• Extend agent logic using Flow, Apex, and asynchronous processing
• Secure agent operations with the Einstein Trust Layer and audit controls
• Test, debug, and trace agent reasoning using professional tooling
• Automate deployment pipelines using AgentforceDX and CI/CD tools
• Monitor agent performance and optimize Flex Credit consumption
• Integrate Agentforce with MuleSoft and external enterprise systems

Who this book is for

This book is for Salesforce developers, architects, and advanced admins looking to build and operate autonomous AI agents with Agentforce. You’ll benefit most if you’re comfortable with the Salesforce platform, low-code tools, and have some awareness of Apex and DevOps workflows. Consultants, SI partners, and enterprise AI practitioners will also find practical patterns for scaling intelligent automation.

Description
Software development today is very different from what it was even a few years ago. Writing clean code is no longer enough when applications run on cloud platforms, scale on demand, and are expected to be available all the time. Developers are increasingly expected to understand how their code behaves in production, how it scales under load, how failures are handled, and how costs are controlled. These expectations make operational thinking a core part of modern development.

This book provides a structured guide for developers transitioning from traditional operations toward NoOps, emphasizing logging, metrics, integrated security, and CI/CD ownership. The technical core covers mastering infrastructure as code with Terraform and orchestrating Kubernetes via Helm charts and canary deployments. After exploring production excellence through Prometheus monitoring, chaos testing, and FinOps cost optimization, the guide concludes with AI-driven automation and real-world case studies from the OTT and gaming industries to prepare you for the future of autonomous development.

By the end of this book, readers will be comfortable taking responsibility beyond just writing features. They will be able to design, deploy, and run services that are reliable, scalable, secure, and cost-efficient, and confidently operate as end-to-end service owners in modern engineering teams.

Master building purpose-built generative and agentic AI solutions with Microsoft Foundry and the Agent Framework, integrate enterprise data, fine-tune OpenAI models, and deploy secure, production-grade copilots on Azure.

Key Features

• Build copilots and autonomous agents using Microsoft Foundry
• Fine-tune OpenAI models and integrate enterprise knowledge
• Deploy secure, scalable, and responsible AI solutions on Azure
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Configure and navigate Microsoft Foundry projects
• Build copilots using GPT and OpenAI models
• Apply prompt engineering and fine-tuning techniques
• Implement retrieval-augmented generation (RAG)
• Create intelligent agents with the Agent Framework
• Connect enterprise data and external APIs securely
• Orchestrate multi-agent workflows and automation
• Evaluate, monitor, and deploy responsible AI systems

Who this book is for

For AI developers, data scientists, cloud engineers, and solution architects looking to design, fine-tune, and deploy intelligent AI solutions using Microsoft Foundry and the Agent Framework. Suitable for professionals exploring generative AI, Microsoft Copilot integrations, or autonomous enterprise agents. Basic familiarity with Python or cloud services is recommended but not required.

Protect your iOS apps from evolving attacks with a complete, practical toolkit of defensive techniques, cryptographic foundations, and real-world app hardening techniques.

Key Features

• Build a strong iOS security baseline with threat modeling, privacy, and safe data handling.
• Harden apps against iOS attack paths with validation, tamper resistance, runtime checks and more.
• Protect sensitive data using correct cryptography, secure storage, and hardware backed keys.

Book Description

What you will learn

• Understand core iOS security, privacy, and threat modeling concepts
• Learn to classify sensitive data and set clear handling and retention rules
• Apply platform safe coding patterns to reduce common app flaws
• Protect sensitive data using Keychain, file protection, and hardware backed keys.
• Implement secure storage using Keychain, file protection, and Secure Enclave
• Use modern cryptography with correct key management and safe defaults
• Harden apps with anti-debugging, RASP, and runtime integrity checks

Who this book is for

This book is for iOS developers, mobile engineers, and architects who build or maintain production apps. DevSecOps engineers and security consultants supporting mobile pipelines will also benefit. Readers should be comfortable with Swift, Xcode, and the iOS app lifecycle, and have hands-on development experience.

Build, scale, and deploy autonomous AI agents on AWS using Bedrock, memory, and multi-agent architectures for real-world systems

Key Features

• Progress from agentic AI concepts to production-ready deployment on AWS
• Design and build AI agents with tools, memory, and orchestration
• Deploy, evaluate, and govern agents using Amazon Bedrock AgentCore
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Understand how AI agents think, act, and collaborate
• Design single-agent systems with tools and reasoning
• Build agents on AWS using Bedrock and SageMaker AI
• Add memory for context-aware and adaptive behavior
• Create multi-agent systems and orchestrated workflows
• Use MCP and A2A for agent communication and tools
• Deploy and scale agents for production environments
• Monitor, evaluate, and govern agent performance

Who this book is for

This book is for AI engineers, machine learning engineers, cloud architects, software engineers, and developers who want to build and deploy autonomous AI systems on AWS. It is also well suited for graduate and undergraduate students who want to enter the agentic AI space. Familiarity with Python, APIs, and basic AI/ML concepts is recommended, but the book is designed to make agentic AI accessible to readers who are still building their foundation.

Learn web design through a structured 30-day learning path that combines coding fundamentals, design thinking, and practical projects. Build functional web pages while understanding how modern websites are structured and styled.

Key Features

• Follow a clear 30-day roadmap that gradually builds web development skills and confidence
• Learn modern layout techniques including Flexbox, Grid, and responsive design fundamentals
• Reinforce concepts with guided experiments, reflection prompts, and practical mini projects

Book Description

What you will learn

• Understand how browsers load and display web pages
• Structure meaningful content using semantic HTML
• Style websites using CSS selectors and layout rules
• Build responsive layouts using Flexbox and CSS Grid
• Improve readability using typography and color
• Add interaction using JavaScript events
• Organize code with arrays, objects, and functions
• Create dynamic content using DOM manipulation

Who this book is for

This book is for beginners who want to learn how modern websites are built using HTML, CSS, and JavaScript. It is ideal for students, aspiring developers, and designers who want to understand the technical side of web creation. The structured 30-day format makes it especially helpful for self-learners looking for a clear path to build practical web development skills from the ground up.

Write safer, more maintainable Rust code by identifying anti-patterns, applying idiomatic design patterns tailored to ownership, borrowing, and the type system, and learning when to adapt or avoid traditional solutions. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Leverage traits, ownership, borrowing, and lifetimes to structure expressive, modular Rust code
• Avoid common Rust anti-patterns and design pitfalls with clear, Rust-specific guidance
• Design practical Rust applications using Rust-native and adapted design patterns

Book Description

What you will learn

• Design maintainable applications using idiomatic Rust patterns
• Recognize Rust anti-patterns that lead to messy or inefficient code
• Adapt creational, structural, and behavioral design patterns to Rust
• Leverage the type system to catch logic errors at compile time
• Structure code effectively with modules, traits, and clear interfaces
• Work with ownership, borrowing, and the type system to simplify data handling
• Implement functional techniques for clearer, expressive Rust code

Who this book is for

Rust developers ready to move beyond the basics and improve how they design and structure code will benefit from this book. If you're comfortable building simple applications and using tools like Cargo, this book will help you write cleaner, more idiomatic, and reliable software. It’s ideal for those looking to understand which patterns work in Rust, how to avoid common traps, and how to tackle more complex, real-world projects with confidence.

Description
The guiding principles for an architect is the comprehensive roadmap to understanding the platform’s core components and why they matter for today’s businesses. Microsoft Power Platform is transforming how enterprises build solutions in today’s fast-paced digital era. By enabling low-code innovation and empowering citizen developers, it helps organizations accelerate transformation while staying agile and competitive.

This book is the leading engine for modern enterprise digital transformation, and mastering its architecture is essential for building scalable, low-code solutions. This book is a guiding principle for an architect as it serves as your comprehensive roadmap to understanding the platform’s core components and why they are vital for today’s business landscape. It provides architects with guiding principles across multiple chapters. Each chapter offers practical insights, frameworks, and strategies to balance innovation with compliance and scalability.

By the end of this book, readers will be equipped with the skills to architect resilient, secure, and inclusive solutions. They will gain competence in governance, design thinking, and operational efficiency, enabling them to confidently deliver enterprise-grade applications that drive sustainable digital transformation.

Description
Modern web automation requires more than just scripting; it demands a transition from basic interaction to enterprise-grade engineering. Playwright has emerged as a premier tool for this shift, offering robust support for both UI and API testing. However, scaling these capabilities for complex environments requires the application of rigorous software engineering principles to ensure frameworks remain resilient, efficient, and adaptable to evolving business needs.

This book bridges the gap between basic automation and sophisticated architectural design. You will explore foundational patterns like Page Object Model, Factory, and Singleton, alongside core principles such as SOLID and DRY. The book provides a step-by-step guide to building modular, tool-agnostic frameworks, covering critical topics like CI/CD integration, test data management, and observability. It even addresses high-level challenges, such as migrating between tools like Playwright and Puppeteer.

By the end of this book, you will gain the competency to design and scale automation frameworks suited for enterprise environments. You will move beyond the role of a scripter to become a test architect, capable of leading the development of future-proof, maintainable, and highly scalable testing solutions.

Description
Windows Server 2025 is Microsoft’s latest enterprise operating system for running and managing core business applications, networks, and IT infrastructure. As organizations increasingly adopt modern, cloud-ready workloads, combining Windows Server 2025 with Azure delivers the scalability, flexibility, and security needed to run hybrid and cloud environments efficiently.

This book shows how to get the most from Windows Server 2025 on Microsoft Azure, guiding you through deploying and managing cloud-ready workloads securely and efficiently. It covers hybrid infrastructure and cloud-native features like Azure Arc and hotpatching. You will learn strategies for storage, backup, disaster recovery, high availability, auto-scaling, and cost optimization, enabling Windows Server workloads to be resilient, scalable, and optimized in the cloud. Finally, it explores the AI-driven future, highlighting how Windows Server will evolve to support smarter, scalable, and hybrid cloud environments.

By the end of this book, you will be competent in deploying, managing, and optimizing Windows Server 2025 on Azure. You will have gained practical skills in maintaining a secure, automated, and cost-efficient cloud infrastructure, helping you to confidently manage modern, hybrid, and cloud-ready IT environments.

Master end-to-end data engineering on Azure Databricks. From data ingestion and Delta Lake to CI/CD and real-time streaming, build secure, scalable, and performant data solutions with Spark, Unity Catalog, and ML tools.

Key Features

• Build scalable data pipelines using Apache Spark and Delta Lake
• Automate workflows and manage data governance with Unity Catalog
• Learn real-time processing and structured streaming with practical use cases
• Implement CI/CD, DevOps, and security for production-ready data solutions
• Explore Databricks-native ML, AutoML, and Generative AI integration

Book Description

What you will learn

• Set up a full-featured Azure Databricks environment
• Implement batch and streaming ingestion using Auto Loader
• Optimize Spark jobs with partitioning and caching
• Build real-time pipelines with structured streaming and DLT
• Manage data governance using Unity Catalog
• Orchestrate production workflows with jobs and ADF
• Apply CI/CD best practices with Azure DevOps and Git
• Secure data with RBAC, encryption, and compliance standards
• Use MLflow and Feature Store for ML pipelines
• Build generative AI applications in Databricks

Who this book is for

This book is for data engineers, solution architects, cloud professionals, and software engineers seeking to build robust and scalable data pipelines using Azure Databricks. Whether you're migrating legacy systems, implementing a modern lakehouse architecture, or optimizing data workflows for performance, this guide will help you leverage the full power of Databricks on Azure. A basic understanding of Python, Spark, and cloud infrastructure is recommended.

Description
65% of the Indian population is 35 or under, and approximately 50% of the country's population of 1.4 billion people is under the age of 25. However, we face a huge employability crisis in the country. In an AI world where everyone has access to the same information, who will be able to attain life success? The answer is, only those with superior meta soft skills.

The book aims to provide the reader with a practical understanding of corporate and business life. The author approaches the book from the point of view of a corporate soft skills training to help the reader gain a head start in their careers.

The book is designed to take the reader through 3 main verticals.

VERTICAL 1:
Theme: CONFIDENCE
This vertical helps the reader in gaining the mental strength, motivation & confidence to approach their lives with a positive mental attitude.

VERTICAL 2:
Theme: COMPETENCE
Good communication, especially in this AI age, is a huge demand from recruiters and employers today. Prompt engineering, asking the right questions, and business storytelling help the reader to get a head start in their careers.

VERTICAL 3:
Theme: COURTESY
A good first impression is created through effective habits and an ability to say the right thing at the right time to the right person.

Machines That Think takes readers through the history, challenges, and ethical dilemmas of artificial intelligence, offering a deep dive into AI's past, present, and future.

Key Features

• Practical exploration of the ethical implications of AI technologies in society.
• Comprehensive coverage of AI applications, from machine learning to superintelligence.

Book Description

What you will learn

• Understand the history and evolution of AI technologies
• Learn about the various approaches to making machines intelligent
• Explore data's role in machine learning and AI systems
• Grasp the ethical implications of AI in modern society
• Analyze the concept of superintelligence and its potential impacts
• Learn the basic principles behind symbolic and subsymbolic AI

Who this book is for

The ideal audience for this book includes professionals, students, and enthusiasts interested in artificial intelligence and its societal implications. Potential readers should have a basic understanding of technology and AI concepts, as well as an interest in the ethical and practical challenges of AI. No specialized prior knowledge is required, but familiarity with technology-related topics is helpful.

Description
Data engineering fuels the AI revolution by transforming raw information into high-quality insights. This guide navigates the evolution from traditional warehousing to modern lakehouse systems, teaching you to build and safely operate the medallion architecture (bronze, silver, and gold layers) in production.

This book explores the evolution from data warehousing to the rise of data mesh and lakehouse patterns. You will master medallion architecture and data vault for auditable and ROI-driven integration with AWS Step Functions and multi-cloud design across AWS, Azure, and GCP using Kafka, dbt, and Terraform, while implementing the Four-Gate Governance Model for secure operations. You will also implement critical MLOps workflows using AWS SageMaker and DevOps practices with GitHub Actions. The book concludes with expert migration protocols, Z-ordering optimization, and observability techniques to ensure your data platform remains high-performing and cost-effective.

By the end of the book, you will confidently design and operate medallion architecture across cloud environments and implement governance frameworks that satisfy auditors. You will be a competent AI collaboration architect ready to orchestrate complex data lifecycles in the BFSI, healthcare, or retail sectors. You will possess the practical skills to deploy serverless streaming pipelines and maintain rigorous compliance.

Get a big-picture view of modern React and React Native and see how they go hand-in-hand, covering TypeScript development, Vite, state management strategies, unit testing with Vitest, advanced techniques, and AI tips and tricks.

Key Features

• New content on TypeScript, React frameworks, state management strategies, unit testing, and AI-powered productivity.
• Get to grips with React fundamentals and modern React techniques and architecture
• Broaden your React expertise through mobile development with React Native

Book Description

What you will learn

• Explore React architecture, component properties, state, and context
• Work with React Hooks for handling functions and components
• Fetch data from a server using the Fetch API, GraphQL, and WebSockets
• Dive into internal and external state management strategies
• Build robust user interfaces (UIs) for web apps using Material-UI
• Perform unit testing for your components with Vitest and mocking techniques
• Manage app performance with server-side rendering, lazy components, and Suspense

Who this book is for

This book is for any JavaScript or TypeScript developer who wants to start learning how to use React and React Native for web and mobile app development. No prior knowledge of React or React Native is required. However, a working knowledge of JavaScript is necessary to be able to follow along with the content covered.

Build and deploy high-performance deep learning models using C++ for real-time applications where speed and efficiency matter. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build deep learning models in C++ with PyTorch C++ API and CUDA
• Implement CNNs, RNNs, LSTMs, GANs, and Transformers in C++ for real-world applications
• Optimize and deploy machine learning models to production with scalable C++ pipelines

Book Description

What you will learn

• Set up and use CUDA and PyTorch's C++ API for deep learning
• Implement CNNs, RNNs, LSTMs, GANs, Transformers, and LLMs in C++
• Leverage CUDA for high-performance model training
• Perform model compression using quantization, pruning, and distillation
• Deploy and monitor models in production using C++ tools
• Apply explainability techniques such as LIME, SHAP, and Grad-CAM

Who this book is for

This book is for ML engineers, deep learning practitioners, and data scientists with a C++ background who want to build or learn about high-performance deep learning models. It also serves developers transitioning from Python-based frameworks looking for real-time deployment solutions in industries like finance, autonomous systems, and healthcare.

Description
Over the past few years, large language models (LLMs) and generative AI have evolved from research projects into powerful technologies reshaping how organizations operate and deliver value in every industry. We are witnessing an explosion of startups building GenAI-powered features to Fortune 500 companies, restructuring business operations around GenAI and agentic AI capabilities.

This book offers a practical and comprehensive journey through the world of LLMs and GenAI from a business perspective. It begins by explaining what LLMs are and how GenAI works in clear and plain language. You will explore how these technologies are transforming industries, revolutionizing customer engagement, streamlining operations, and driving innovation and competitive advantage. You will also learn how to develop a GenAI strategy, build the right teams and partnerships, and implement AI responsibly and ethically. The book concludes with a forward-looking view of how businesses can measure AI success and prepare for the potential impact of artificial general intelligence.

By the end of this book, you will understand how LLMs and GenAI are changing the business landscape and how to apply these technologies to create value, enhance decision-making, and lead your organization into the era of GenAI.

Service integration and management (SIAM) is a management methodology for creating value in an ecosystem where multiple service providers contribute to end-to-end services. It has evolved as organizations moved from single-supplier outsourcing to multi-sourced, increasingly digital, cloud-enabled delivery, where objectives, contracts, data and targets can become misaligned.

SIAM enables cross-functional, cross-process and cross-provider integration by establishing a service integrator capability that coordinates governance, management, assurance and continual improvement. It creates an ecosystem where all parties understand their role, responsibilities and context, are empowered to deliver within boundaries, and are accountable for the outcomes they enable.

SIAM Professional, third edition, forms part of the refreshed Scopism SIAM Body of Knowledge and is the official guide for the EXIN SIAM™ Professional certification. This book supports candidates preparing for the certification and focuses on applying SIAM in practice, building on the concepts introduced in SIAM Foundation. The book will appeal to:

• Practitioners who want to deepen their SIAM capability and achieve the SIAM™ Professional certification
• Customer organizations seeking practical guidance for operating and improving multi-provider services
• Service integrators and their teams delivering integrated, outcome-focused governance
• Internal and external service providers wanting clarity on how to collaborate in a SIAM ecosystem
• Consultants in service management and related frameworks looking to extend their expertise

“Over the last decade we’ve seen SIAM gain relevance across increasingly complex provider landscapes and supply chain management challenges. The updated SIAM Body of Knowledge offers a renewed look at the core concepts of multi-provider management but extends the breadth and depth of this with additional and flexible Compendiums. More than 75 experts from around the world offered their knowledge, experience and thoughts to provide content that is applicable and suitable for any type of organization.

As part of the Body of Knowledge, SIAM Professional does exactly that; it expands on the foundational concepts, offering advice and examples that transform SIAM theory and common sense to practically applicable guidance. We hope practitioners can find knowledge and inspiration from this publication to improve their organizational operating model.”

Simon Dorst & Michelle Major-Goldsmith

Description
ServiceNow is the undisputed leader empowering organizations to unlock seamless, AI-driven workflow automation. Yet many organizations struggle to move past basic technical setups into true business-aligned orchestration.

The book starts by explaining the core and advanced parts of the ServiceNow platform, showing how it can grow from a local tool into a full enterprise backbone. It highlights that strong automation begins with clear, well-structured processes and then builds on those foundations to create scalable workflows supported by artificial intelligence (AI). The book also covers the major workflow families across IT, employee, customer, and technology and governance, while stressing the role of the CMDB as the single source of truth that supports connected automation. It closes by outlining what organizations need to sustain and expand their automation goals, including strong governance, clear change practices, and readiness for a future shaped by intent-driven workflows and AI-supported operations.

By the end of this book, the readers will have the clarity, structure, and practical thinking needed to design and run large-scale AI-driven workflow programs on ServiceNow with confidence.

Produce, mix, and release high-quality music using modern workflows and real-world techniques in FL Studio 2025 Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Create complete, release-ready tracks using modern FL Studio workflows
• Develop production skills with AI-powered tools for mixing and mastering
• Take your music from idea to distribution with practical release guidance

Book Description

What you will learn

• Set up FL Studio and build an efficient production workflow
• Use the Browser, Channel Rack, Playlist, Piano Roll, and Mixer effectively
• Compose chord progressions in the Piano Roll with AI tools
• Record, edit, and process audio and vocals
• Design customizable instruments and effects
• Mix tracks using compression, EQ, and spatial effects
• Use AI tools for stem extraction, audio cleanup, and mastering
• Release, distribute, and monetize your music

Who this book is for

This book is for aspiring and intermediate music producers, composers, DJs, and audio engineers who want to create, mix, master, and release professional music using FL Studio 2025. Basic computer skills are recommended, but no prior music production experience is required.

Develop actionable strategies to proactively hunt advanced persistent threats and detect zero-days using CTI and behavior-based detection techniques

Key Features

• Intelligence-led threat hunting framework for detecting APTs and zero-day attacks at scale
• Hands-on detection of stealthy adversaries using behavioral analytics and machine learning
• Real-world hunting workflows across cloud, hybrid, and enterprise environments

Book Description

What you will learn

• Build CTI-driven hypotheses for proactive threat hunting
• Detect APT behavior across the Cyber Kill Chain
• Identify zero-day activity using behavioral analytics
• Apply MITRE ATT&CK to map adversary TTPs
• Use machine learning for anomaly-based detection
• Hunt post-exploitation activity and lateral movement
• Investigate threats in cloud and hybrid environments
• Design a scalable, resilient threat hunting program

Who this book is for

This book is tailored for experienced, mid-to-senior level cybersecurity professionals operating in roles focused on proactive defense. The audience includes cyber threat hunters, cybersecurity analysts, cyber intelligence analysts, and incident responders. These profiles are looking to bridge the gap between intelligence production and its actionable application in live hunting operations, and this book will help them to achieve this.

Description
PowerShell has become the most versatile scripting language for automating administrative tasks and managing modern IT environments. PowerShell automation allows repetitive tasks to be automated, reduces errors, and as environments grow bigger and more complex, it becomes the key to keeping control and staying efficient.

This book focuses on how PowerShell really behaves and why scripts sometimes fail in unexpected ways. To understand the nature, the book covers PowerShell scripting fundamentals like objects, the pipeline, variables, and loops before exploring Active Directory and Entra ID management. The readers will learn to automate Azure VMs using PowerShell Desired State Configuration, schedule tasks with Azure Automation Hybrid Workers, and implement remote management via JEA. The advanced modules further focus on .NET libraries, Pester unit testing, debugging, and error handling to ensure your scripts are professional and maintainable.

By the end of the book, the readers will feel confident using PowerShell in daily tasks. Scripts will be easier to understand, safer to run, and easier to maintain. Automation will become reliable instead of risky, and repetitive work can finally be reduced. PowerShell will not only be used, but it will also be understood and appreciated.

“The best developers of the future will have a deep appreciation for the fundamentals that make great software possible, and also deeply enjoy the craft of development. This book, built on Professor Isidro's beliefs of the importance of fundamentals and on having fun developing software, gives you both.” – Bruno Souza Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build a multithreaded HTTP server and application container using Java sockets
• Understand and replicate the internal mechanics of Tomcat and Jakarta EE, and Spring features
• Develop a modular Java framework with annotation-based routing and dependency injection
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Implement a multithreaded web server using Java sockets
• Decode and construct HTTP requests and responses manually
• Build an application container to serve dynamic Java classes
• Serialize and deserialize JSON data using Jackson
• Structure projects with modular static and dynamic content
• Replicate the internal mechanics of Tomcat, Jakarta EE, and Spring features
• Manage lightweight session handling and routing logic
• Create and deploy a complete custom Java web framework

Who this book is for

Java developers, computer science students, and educators seeking a deep, hands-on understanding of web server internals and application framework design. Prior knowledge of Java and basic networking concepts is recommended.

Description
Designing scalable software is difficult; it requires significant effort and knowledge to come up with a design solution that is easy to implement, feasible, adheres to the programming principles, and is scalable in nature. Most functional applications today rely on one or more design patterns to accomplish the complex tasks they were built for.

This book explores the fundamentals of software design and examines a set of widely adopted object-oriented design patterns that have shaped modern software development across industries. In this new edition, you will gain access to expanded technical content featuring dedicated chapters on the bridge pattern for separating abstraction from implementation and the filter pattern for modular data handling. This new edition introduces the composite pattern for tree-like hierarchies and pipeline architectures for sequential task decomposition. You will also find deeper insights into resource bandwidth optimization and refined UML diagrams tailored for mid-to-senior level engineers working on scalable, multi-module systems.

By the end of this book, you will learn to implement the design patterns and understand their purpose, benefits, potential drawbacks, and challenges associated with each of them.

This book describes common threats to your cybersecurity and practical steps you can take to avoid them. Threats explained include weak or reused passwords, malware, viruses, social engineering, outdated software, ransomware, the internet of things (IoT) and risky Internet browsing. Tools and techniques to help enhance your security like multi-factor authentication (MFA), firewalls, backups, virtual private networks (VPN) are also explained.

•Discusses how weak passwords can lead to vulnerabilities and how to create strong ones that are easy to remember.
• Describes social engineering attacks, why you may be vulnerable to them and how to protect yourself.
•Explains how Multi-Factor Authentication (MFA) works and how to enable it.
•Presents how to protect your system against a Ransomware attack.

This fully updated second edition of GO Programming in easy steps assumes no prior knowledge, and begins by illustrating how to create a GO programming environment on your computer. Then, using color-coded examples, this guide covers the basics and shows how to:

• Apply data abstraction for Object-Oriented Programming (OOP).
• Build goroutines and channels for concurrency in your programs.
• Store information in data structures.
• Control program flow with control structures.
• Create reusable blocks of code in program functions... and much more!

This edition also introduces new language features for the new() function, and demonstrates all examples in the Visual Studio Code IDE.

Includes free downloadable source code so that you can get started straightaway!

Unlock the power of SQL to manipulate and query relational databases. Learn database creation, optimization techniques, security practices, and more through hands-on examples.

Key Features

• Step-by-step instructions for mastering SQL.
• Practical examples covering real-world SQL applications.
• Emphasis on data security, transaction control, and optimization.

Book Description

What you will learn

• Understand the fundamentals of relational databases and SQL.
• Master database creation, modification, and deletion.
• Learn how to perform data manipulation with SQL queries.
• Explore advanced SQL topics like window functions and subqueries.
• Learn about database security and transaction control.
• Implement data integrity through normalization and keys.

Who this book is for

This book is ideal for anyone interested in learning SQL, whether you're a beginner or an intermediate user. Readers should have a basic understanding of databases and data management before starting. The book assumes no prior experience with SQL, but familiarity with concepts like data types and basic programming will be beneficial. It is designed for aspiring database administrators, developers, or anyone looking to enhance their data management skills.

Developing intelligent applications that integrate AI, analytics, and transactional capabilities using the latest release of the world's most popular open-source database

Key Features

• Practical examples demonstrating how to use PostgreSQL to develop intelligent applications
• Best practices for developers of intelligent data management applications
• Includes the latest PostgreSQL 18 features for AI, analytics, and transactions.

Book Description

What you will learn

• How to leverage PostgreSQL 18 for building intelligent data-driven applications for the modern enterprise
• Data management principles and best practices for managing transactions, analytics, and AI use cases
• How to utilize PostgreSQL capabilities to address architectural challenges and attain optimal performance for each use case
• Methods for utilizing the latest PostgreSQL innovation to create integrated data management applications
• Guidelines on when to use PostgreSQL and when to opt for specialized data management solutions

Who this book is for

This book is for backend developers, data engineers, database engineers, and solution architects who want to build modern applications using PostgreSQL as a unified platform for transactions, analytics, and AI. It is intended for readers with a basic understanding of SQL and relational databases who want to learn how to design high-performance transactional systems, implement analytical workloads, and integrate AI capabilities such as vector search and LLM-based applications within Postgres.

AI-Assisted Coding explores the integration of AI tools in programming, teaching readers to boost productivity with GitHub Copilot, ChatGPT, and more.

Key Features

• Learn to integrate AI tools into your coding workflow for increased productivity
• Understand the basics of large language models and transformers
• Master debugging, refactoring, and documentation with AI assistants

Book Description

What you will learn

• Utilize AI tools like GitHub Copilot and ChatGPT for coding assistance
• Understand the basics of large language models and transformers
• Implement pair programming with AI assistants
• Apply AI in debugging and refactoring code
• Generate and optimize code using AI tools
• Create AI-assisted documentation for software projects

Who this book is for

This book is ideal for software developers, programmers, and IT professionals who want to integrate AI into their coding practices. A basic understanding of programming languages like Python, JavaScript, or PHP is necessary.

Mettez de côté les mythes extravagants et les prophéties  alarmistes pour enfin comprendre ce qu’est l’IA.
Depuis la première édition de cet ouvrage en 2019, tout a changé et pourtant rien n’a changé. Tout a changé avec l’arrivée des IA génératives qui bouleversent par leur ampleur et leur vitesse d’adoption tout ce que nous avons connu jusqu’alors avec l’IA « traditionnelle ». Mais rien n’a changé dans la mesure où les fondements de l’IA générative demeurent probabilistes et où l’humain reste plus que jamais au centre de tout.
Dans ce livre, Jean-Philippe Desbiolles et Laurent Prud’hon, experts  chevronnés de l’intelligence artificielle, proposent une mise en perspective  claire et accessible. En s’appuyant sur des exemples concrets et 10 règles d’or  simples et pragmatiques, ils partagent leur expérience de terrain et démystifient  l’IA avec rigueur et humour. Ils rappellent que nous restons les créateurs, les  formateurs, les superviseurs et les bénéficiaires finaux de ces systèmes.
L’IA ne s’impose pas à nous : elle deviendra ce que nous déciderons d’en faire. À nous d’en définir les règles du jeu.

Learn deep learning with Keras, from setting up your environment to advanced topics like reinforcement learning and generative AI. Build, train, and optimize models for a wide range of applications.

Key Features

• Step-by-step guidance on setting up Keras and TensorFlow.
• Practical examples of deep learning concepts, including CNNs and reinforcement learning.
• Advanced techniques for building generative models, transformers, and diffusion models.

Book Description

What you will learn

• Install and set up Keras and TensorFlow for machine learning projects
• Understand machine learning, supervised, unsupervised, and reinforcement learning
• Implement deep learning models using Keras
• Master convolutional neural networks (CNNs)
• Build complex models with Keras Functional API
• Learn to implement and train transformers and reinforcement learning algorithms

Who this book is for

This book is ideal for data scientists, AI engineers, machine learning practitioners, and developers who want to dive into deep learning with Keras. A basic understanding of Python and machine learning concepts is helpful. It’s suitable for those starting with deep learning as well as experienced developers looking to implement complex AI models.