Informatyka
Dr. Gabriele Lanaro, Quan Nguyen , Sakis...
This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.This Learning Path includes content from the following Packt products:• Python High Performance - Second Edition by Gabriele Lanaro• Mastering Concurrency in Python by Quan Nguyen• Mastering Python Design Patterns by Sakis Kasampalis
Daniel Bass
Advanced Serverless Architectures with Microsoft Azure redefines your experience of designing serverless systems. It shows you how to tackle challenges of varying levels, not just the straightforward ones. You'll be learning how to deliver features quickly by building systems, which retain the scalability and benefits of serverless.You'll begin your journey by learning how to build a simple, completely serverless application. Then, you'll build a highly scalable solution using a queue, load messages onto the queue, and read them asynchronously. To boost your knowledge further, the book also features durable functions and ways to use them to solve errors in a complex system. You'll then learn about security by building a security solution from serverless components. Next, you’ll gain an understanding of observability and ways to leverage application insights to bring you performance benefits. As you approach the concluding chapters, you’ll explore chaos engineering and the benefits of resilience, by actively switching off a few of the functions within a complex system, submitting a request, and observing the resulting behavior. By the end of this book, you will have developed the skills you need to build and maintain increasingly complex systems that match evolving platform requirements.
Advanced Splunk. Master the art of getting the maximum out of your machine data using Splunk
Ashish Kumar Tulsiram Yadav
Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization – the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how.Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery.Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk.
Kristina Cutura
This book contains practical recipes on everything from creating an Adwords account, reporting, analyzing, bidding effectively to remarketing. The book is a guide to getting hands-on experience in Adwords strategies. It is extensively focussed on helping you build an Adwords account, which appeals to the visitors and attracts more clicks!This book is great for the users, who are ready to start using Adwords, as well as for experienced advertisers, who are looking to take their accounts to the next level. Just create an Adwords account and run ad campaigns to take advantage of the hands-on recipes.
Agenci AI bazujący na modelach językowych. Istota, konfiguracje, zastosowania
Mariusz Hofman
Agenci, którzy stoją po stronie biznesu Agenci AI to algorytmy wykorzystujące modele językowe jako reasoning engine. Są one zdolne do postrzegania otoczenia, rozumowania i podejmowania decyzji, co czyni je przydatnymi w wielu dziedzinach biznesu, między innymi: w spersonalizowanej obsłudze klienta w automatyzacji procesów biznesowych w zaawansowanej analityce biznesowej we wspieraniu ludzi pracujących w takich działach jak HR czy R&D Użycie agentów AI może przynieść firmom wymierne oszczędności, usprawnić proces podejmowania decyzji i w efekcie zagwarantować trwałą przewagę konkurencyjną. Autor tej książki stawia sobie za cel wyjaśnienie istoty agentów opartych na modelach językowych, a także omówienie ich kluczowych architektur - od prostych, wyspecjalizowanych rozwiązań po złożone systemy współdziałających ze sobą agentów. Dodatkowo prezentuje przykłady zastosowań wybranych konfiguracji w realiach quasi-biznesowych.
Orhan Yildirim
AI agents have moved from demos to practical tooling, especially for offensive security work where repeatability and context matter. This book shows you how to apply agentic AI to real penetration testing automation, keeping a human in the loop while speeding up reconnaissance, validation, and reporting.You’ll build end-to-end workflows with n8n for reconnaissance automation, attack surface management, and repeatable testing tasks such as port scanning and PCI segmentation testing. You’ll also create browser-based security testing tools using the Model Context Protocol (MCP), enabling LLM-powered agents to coordinate tooling, manage context, and assist with vulnerability analysis and documentation. The focus is hands-on practice, as you’ll assemble practical offensive workflows for web application testing, exploitation support, and professional pentest reporting, then extend your pipeline with threat intelligence automation, including agents that monitor CVE feeds and keep your testing aligned with emerging risk.If you’re a penetration tester, red teamer, or security engineer looking to make assessments faster, more consistent, and easier to scale across engagements, this book gives you patterns that you can adapt to your environment.
Orhan Yildirim
AI agents have moved from demos to practical tooling, especially for offensive security work where repeatability and context matter. This book shows you how to apply agentic AI to real penetration testing automation, keeping a human in the loop while speeding up reconnaissance, validation, and reporting.You’ll build end-to-end workflows with n8n for reconnaissance automation, attack surface management, and repeatable testing tasks such as port scanning and PCI segmentation testing. You’ll also create browser-based security testing tools using the Model Context Protocol (MCP), enabling LLM-powered agents to coordinate tooling, manage context, and assist with vulnerability analysis and documentation. The focus is hands-on practice, as you’ll assemble practical offensive workflows for web application testing, exploitation support, and professional pentest reporting, then extend your pipeline with threat intelligence automation, including agents that monitor CVE feeds and keep your testing aligned with emerging risk.If you’re a penetration tester, red teamer, or security engineer looking to make assessments faster, more consistent, and easier to scale across engagements, this book gives you patterns that you can adapt to your environment.
Balamurugan Balakreshnan, Sina Fakhraee, Jay Padhya, Minsoo...
Agentic AI with Microsoft Foundry is your complete guide to creating intelligent, enterprise-ready AI copilots and agents using Microsoft’s unified AI development platform. Whether you’re building with GPT models, integrating private data, or orchestrating multi-agent workflows, this book equips you with the technical foundation and practical skills to succeed.You’ll begin by mastering Microsoft Foundry essentials, including setting up your workspace, exploring the Model Catalog, and applying prompt engineering techniques for high-quality LLM outputs. You’ll then fine-tune large language models, implement retrieval-augmented generation (RAG), and integrate cognitive search capabilities to give your AI real-world context.The second half of the book dives deep into building and extending AI agents using the Agent Framework, covering everything from configuring tools and connectors to orchestrating multi-agent systems capable of reasoning, retrieving, and acting autonomously. You’ll also learn how to evaluate and govern your AI responsibly, monitor deployments effectively, and scale solutions for enterprise use.By the end, you’ll have built a production-ready AI copilot that leverages Microsoft Foundry, OpenAI models, and Microsoft’s Agent Framework, bringing together intelligence, automation, and ethical AI design.
Balamurugan Balakreshnan, Sina Fakhraee, Jay Padhya, Minsoo...
Agentic AI with Microsoft Foundry is your complete guide to creating intelligent, enterprise-ready AI copilots and agents using Microsoft’s unified AI development platform. Whether you’re building with GPT models, integrating private data, or orchestrating multi-agent workflows, this book equips you with the technical foundation and practical skills to succeed.You’ll begin by mastering Microsoft Foundry essentials, including setting up your workspace, exploring the Model Catalog, and applying prompt engineering techniques for high-quality LLM outputs. You’ll then fine-tune large language models, implement retrieval-augmented generation (RAG), and integrate cognitive search capabilities to give your AI real-world context.The second half of the book dives deep into building and extending AI agents using the Agent Framework, covering everything from configuring tools and connectors to orchestrating multi-agent systems capable of reasoning, retrieving, and acting autonomously. You’ll also learn how to evaluate and govern your AI responsibly, monitor deployments effectively, and scale solutions for enterprise use.By the end, you’ll have built a production-ready AI copilot that leverages Microsoft Foundry, OpenAI models, and Microsoft’s Agent Framework, bringing together intelligence, automation, and ethical AI design.
Dr. Ali Arsanjani, Juan Pablo Bustos, Thomas...
Generative AI has moved beyond the hype, and enterprises now face the challenge of turning prototypes into scalable solutions. This book is your guide to building intelligent agents powered by LLMs.Starting with a GenAI maturity model, you’ll learn how to assess your organization’s readiness and create a roadmap toward agentic AI adoption. You’ll master foundational topics such as model selection and LLM deployment, progressing to advanced methods such as RAG, fine-tuning, in-context learning, and LLMOps, especially in the context of agentic AI. You'll explore a rich library of agentic AI design patterns to address coordination, explainability, fault tolerance, and human-agent interaction. This book introduces a concrete, hierarchical multi-agent architecture where high-level orchestrator agents manage complex business workflows by delegating entire sub-processes to specialized agents. You’ll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol.To ensure your systems are production-ready, we provide a practical framework for observability using life cycle callbacks, giving you the granular traceability needed for debugging, compliance, and cost management. Each pattern is backed by real-world scenarios and code examples using the open source Agent Development Kit (ADK).*Email sign-up and proof of purchase required
Dr. Ali Arsanjani, Juan Pablo Bustos, Thomas...
Generative AI has moved beyond the hype, and enterprises now face the challenge of turning prototypes into scalable solutions. This book is your guide to building intelligent agents powered by LLMs.Starting with a GenAI maturity model, you’ll learn how to assess your organization’s readiness and create a roadmap toward agentic AI adoption. You’ll master foundational topics such as model selection and LLM deployment, progressing to advanced methods such as RAG, fine-tuning, in-context learning, and LLMOps, especially in the context of agentic AI. You'll explore a rich library of agentic AI design patterns to address coordination, explainability, fault tolerance, and human-agent interaction. This book introduces a concrete, hierarchical multi-agent architecture where high-level orchestrator agents manage complex business workflows by delegating entire sub-processes to specialized agents. You’ll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol.To ensure your systems are production-ready, we provide a practical framework for observability using life cycle callbacks, giving you the granular traceability needed for debugging, compliance, and cost management. Each pattern is backed by real-world scenarios and code examples using the open source Agent Development Kit (ADK).*Email sign-up and proof of purchase required