RHCSA Red Hat Enterprise Linux 9. Comprehensive Mastery for Advanced System Administration and Certification Success

Asghar Ghori

Embark on a journey through Red Hat Enterprise Linux 9, beginning with the basics of local installation and initial system interactions. Our course guides you through fundamental and advanced file management techniques, ensuring you can handle any file-related tasks with ease. Explore user management in-depth, from basic to advanced levels, providing you with the skills to manage users and groups effectively.Delve into the core aspects of the Linux operating system, including the Bash shell, process management, and job scheduling. Gain expertise in package management, both basic and advanced, to keep your system up-to-date and efficient. Understand the intricacies of the Linux boot process, system initialization, and system tuning to optimize performance and reliability.The course also covers essential networking concepts, including device management, connections, and hostname resolution. You'll learn to secure your system with SSH, firewall configuration, and SELinux. Additionally, explore storage management, local file systems, and swap configurations to ensure robust data handling. Finally, enhance your automation skills with shell scripting and containers, preparing you for modern DevOps environments.

Causal Inference in R. Decipher complex relationships with advanced R techniques for data-driven decision-making

Subhajit Das

Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making.This book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You’ll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You’ll discover techniques for establishing causality, from classic approaches to contemporary methods, such as propensity score matching and instrumental variables. Each chapter is enriched with detailed case studies and R code snippets, enabling you to implement concepts immediately. Beyond technical skills, this book also emphasizes critical thinking in data analysis to empower you to make informed, data-driven decisions. The chapters enable you to harness the power of causal inference in R to uncover deeper insights from data.By the end of this book, you’ll be able to confidently establish causal relationships and make data-driven decisions with precision.

Pretrain Vision and Large Language Models in Python. End-to-end techniques for building and deploying foundation models on AWS

Emily Webber, Andrea Olgiati

Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization.With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you’ll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models.You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines.By the end of this book, you’ll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future.

Mastering Cloud Security Posture Management (CSPM). Secure multi-cloud infrastructure across AWS, Azure, and Google Cloud using proven techniques

Qamar Nomani, Julie Davila, Rehman Khan

This book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that’ll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures.The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you’ll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting.As you progress, you’ll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You’ll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments.By the end of this book, you’ll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.

Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition

Luca Ferrari, Enrico Pirozzi

The latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance.This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals.By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database.

Web Development on Netlify. Proven strategies for building, deploying, and hosting modern web applications

Ekene Eze

Written by a former member of Netlify’s Developer Experience team, Web Development on Netlify is the ultimate companion for anyone looking to build, deploy, optimize, and scale frontend web applications on the platform. From setting up your account, and configuring settings and options, to deploying and optimizing web applications, this book offers comprehensive guidance through Netlify’s extensive capabilities, supported by step-by-step instructions and real-world examples.Focused on best practices and scalability, this invaluable resource is for both beginners and experienced developers, covering essential aspects such as performance optimization, A/B testing, webhooks, continuous deployment, and scaling considerations. Whether you want to get started with Netlify or expand your knowledge of the platform, this book has everything you need to take your web applications to the next level. Ekene’s clear and concise style makes it easy to understand even for readers with little to no Netlify experience.By the end of this book, you’ll be equipped with the expertise to revolutionize your workflow and take your web projects to new heights with Netlify, adhering to industry best practices every step of the way.

The Ultimate Kali Linux Book. Harness Nmap, Metasploit, Aircrack-ng, and Empire for cutting-edge pentesting - Third Edition

Glen D. Singh

Journey into the world of Kali Linux – the central hub for advanced penetration testing, with this ultimate guide to exposing security vulnerabilities in websites and both wired and wireless enterprise networks.With real-world scenarios, practical steps and coverage of popular tools, this third edition of the bestselling Ultimate Kali Linux Book is your fast track to learning penetration testing with Kali Linux 2024.x. As you work through the book, from preliminary penetration testing activities through performing network and website penetration testing, to exploring Active Directory and social engineering attacks, you’ll discover the range of vulnerability assessment tools in Kali Linux, building your confidence and proficiency as a penetration tester or ethical hacker.This new edition of the book features a brand new chapter on Open Source Intelligence (OSINT), as well as new labs on web applications and social engineering. Procedures for building virtual labs have also been improved, making these easier to understand and follow.Think of this book as your stepping stone into the modern world of penetration testing and ethical hacking – with the practical guidance and industry best practices the book provides, you’ll be ready to tackle real-world cybersecurity challenges head-on.

Modern Computer Vision with PyTorch. A practical roadmap from deep learning fundamentals to advanced applications and Generative AI - Second Edition

V Kishore Ayyadevara, Yeshwanth Reddy

Whether you are a beginner or are looking to progress in your computer vision career, this book guides you through the fundamentals of neural networks (NNs) and PyTorch and how to implement state-of-the-art architectures for real-world tasks.The second edition of Modern Computer Vision with PyTorch is fully updated to explain and provide practical examples of the latest multimodal models, CLIP, and Stable Diffusion.You’ll discover best practices for working with images, tweaking hyperparameters, and moving models into production. As you progress, you'll implement various use cases for facial keypoint recognition, multi-object detection, segmentation, and human pose detection. This book provides a solid foundation in image generation as you explore different GAN architectures. You’ll leverage transformer-based architectures like ViT, TrOCR, BLIP2, and LayoutLM to perform various real-world tasks and build a diffusion model from scratch. Additionally, you’ll utilize foundation models' capabilities to perform zero-shot object detection and image segmentation. Finally, you’ll learn best practices for deploying a model to production.By the end of this deep learning book, you'll confidently leverage modern NN architectures to solve real-world computer vision problems.