Grow your knowledge of AWS cloud and learn how to create robust, highly available, fault-tolerant, and scalable solutions. Key Features * Understand AWS cloud automation, AWS networking, AWS cloud migration, and cloud adoption framework * Explore AWS streaming analytics, big data design patterns, AI/ML, IoT, quantum computing, and blockchain * Upskill yourself as an AWS solutions architect and explore details of the new AWS certification Book Description AWS for Solutions Architects is a must-have guide for those interested in making the most of AWS and building scalable cloud solutions. This new edition will help you gain a solid understanding of the AWS platform before showing you how to use it to drive digital transformation. With a solution-focused approach to assembling essential AWS services, including reference architectures, this book will help you build cloud-native workloads and enterprise solutions in AWS. To familiarize you with solutions architecture, the book includes detailed information on AWS well-architected design pillars, AWS cloud native design patterns, cloud anti-patterns, and the cloud-native aspect of modern software design in the AWS cloud platform. You'll also learn about performance optimization, security, compliance, reliability, cost optimization, operational excellence, and sustainability. Moreover, you'll gain detailed understanding of the automation of security, infrastructure, DevOps, disaster recovery, and high availability. You'll also learn about emerging technologies such as AI/ML, IoT, blockchain, and quantum computing in AWS. By the end, you will have become experienced in how to design industry and enterprise standard AWS architectures using the most appropriate services to fulfil your organization's technological and business requirements. What you will learn * Optimize your AWS cloud workload for performance, reliability, high availability, operation, cost, and sustainability using AWS well-architected framework * Become familiar with the AWS cloud adoption framework and methods to migrate your workload to AWS * Apply cloud automation at various layers of application workload * Discover deep networking to build a landing zone in AWS and hybrid cloud * Identify common business scenarios and select the right reference architectures for them * Explore the soft skills needed to become an efficient AWS solutions architect Who This Book Is For This book is for application and enterprise architects, developers, and operations engineers who want to become well versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, highly tolerant, and cost-effective solutions in the cloud. Existing AWS users are bound to learn the most, but it will also help those curious about how leveraging AWS can benefit their organization. Prior knowledge of any computing language is not needed, and there's little to no code. Prior experience in software architecture design will prove helpful.

Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutions Key Features Apply AWS Well-Architected Framework concepts to common real-world use cases Understand how to select AWS patterns and architectures that are best suited to your needs Ensure the security and stability of a solution without impacting cost or performance Book DescriptionOne of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects. AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples. By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements. What you will learn Rationalize the selection of AWS as the right cloud provider for your organization Choose the most appropriate service from AWS for a particular use case or project Implement change and operations management Find out the right resource type and size to balance performance and efficiency Discover how to mitigate risk and enforce security, authentication, and authorization Identify common business scenarios and select the right reference architectures for them Who this book is forThis book is for application and enterprise architects, developers, and operations engineers who want to become well-versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, and cost-effective solutions in the cloud. Although existing AWS users will find this book most useful, it will also help potential users understand how leveraging AWS can benefit their organization.

New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms, machine learning data pipelines, and chatbots Book DescriptionArtificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Apply AI algorithms to time series data Who this book is forThe intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.