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Mezzalira Luca: Building Micro-Frontends

Building Micro-Frontends

Distributed Systems for the Frontend

Building the Right Solutions for Your Users

The Product-Minded Engineer

Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems

In-Depth Guidance and Practice

Certificate of Cloud Security Knowledge (CCSK v5) Official Study Guide

Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit. As you complete the chapters in the book, you'll be creating portfolio projects that teach you how to: <ul> <li>Design APIs that data scientists and AIs love</li> <li>Develop APIs using Python and FastAPI</li> <li>Deploy APIs using multiple cloud providers</li> <li>Create data science projects such as visualizations and models using APIs as a data source</li> <li>Access APIs using generative AI and LLMs</li> </ul>

Python Development with Fastapi

Hands-On APIs for AI and Data Science

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to access valuable business data. OAuth is a popular way to address this issue, but this open standard doesn't provide sufficient guidelines for using API tokens to protect business data. That alone can lead to vulnerabilities and invite data breaches. By using cloud native components in Kubernetes or similar platforms, organizations can implement a scalable, future-proof security architecture for their systems that follows a zero-trust approach to protect business data. You'll access tokens, claims, and token design with an emphasis on an API-first approach. This book takes readers through an end-to-end security architecture that scales to many components in a cloud native environment, while only requiring simple security code in applications and APIs. You'll learn: <ul> <li>Why user identity must be part of your cloud native security stack </li><li>How to integrate user identity into APIs </li><li>How to externalize security, secure data access, and authenticate clients using OAuth </li><li>Methods for running security components in a Kubernetes cluster </li><li>How to use claims to protect business data in APIs </li><li>How to follow security best practices for client applications and APIs </li></ul>

A Scalable Zero Trust Architecture

Cloud Native Data Security with Oauth

Sybex Study Guide

The fastest and most effective way to learn the fundamentals of Azure cloud technology and prepare for the AZ-900 certification exam The newly updated second edition of Microsoft Certified Azure Fundamentals Study Guide is an accurate and up-to-date roadmap to the AZ-900 certification exam and a reliable, effective resource for everyone seeking to learn about or reinforce their knowledge of Azure services, pricing, security and compliance, resource management, and more. In the book, experienced Microsoft Principal Customer Success Account Manager and long-time author, Jim Boyce, covers every foundational Azure competency, including: <ul> <li>General and foundational cloud concepts</li> <li>Azure Core Services, including architecture, subscription and billing options, data services, and virtual machines</li> <li>Azure Core Networking Services, like virtual networks, load balancers, and VPN gateways</li> <li>Security, compliance, privacy, and trust features</li> <li>Azure Solutions, like AI and machine learning, serverless computing, and IoT</li> <li>Azure pricing, service levels, and lifecycles</li> <li>Azure Resource creation and management</li> </ul> Ideal for technical and non-technical professionals alike, this straightforward Study Guide draws on the proven Sybex model to explain core Azure features and concepts. It will get you ready to succeed on the widely used AZ-900 certification test and elevate your understanding of Azure cloud software, improving your day-to-day performance in any role that directly or indirectly intersects with the cloud platform. Inside the book <ul> <li>End-of-chapter review questions, with answers and explanations, you can use to measure your progress and help you focus on the areas where you need to improve</li> <li>Concise and intuitive explanations of core Azure services, functions, and features</li> <li>Complimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms</li> </ul> With authoritative, concise coverage of all relevant cloud concepts, Azure architecture and services, and management and governance features tested by the AZ-900 certification exam, this edition of Microsoft Certified Azure Fundamentals Study Guide is the fastest, most efficient way to get up to speed on foundational Azure cloud competencies.

Exam AZ-900

MC Azure Fundamentals Study Guide

A fast and efficient prep handbook for the Azure AI Fundamentals certification exam In MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900, experienced software engineer Adora Nwodo walks you through every technical topic you need to understand to succeed on the AI-900 certification exam and build a fundamental understanding of Azure AI features. The Study Guide uses the proven and popular Sybex approach to help you use Azure AI in the real-world, whether you're in a technical or non-technical role. Nwodo offers clear explanations, step-by-step instructions, and visual aids to guide you through essential AI concepts and shows you how to use them in the Azure cloud. You'll learn about: <ul> <li>Artificial intelligence concepts and workloads</li> <li>Responsible AI use in Azure</li> <li>Core concepts in AI models and solutions</li> <li>Introduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and more</li> <li>The application of machine learning concepts on the Azure cloud platform</li> <li>Computer vision in Azure</li> <li>Natural language processing concepts</li> <li>Generative AI concepts</li> <li>The Azure OpenAI Service</li> <li>Example AI use cases and industry-specific applications</li> </ul> The MC Microsoft Certified Azure AI Fundamentals Study Guide highlights best practices for industry newcomers and veterans alike and builds the confidence you need to pass the AI-900 certification exam on your first attempt. Inside the book: <ul> <li>Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improve</li> <li>Carefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basis</li> <li>Complimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms</li> </ul> Perfect for everyone preparing for the AI-900 certification exam, the Microsoft Certified Azure AI Fundamentals Study Guide is also a must-read for technical and non-technical professionals--especially those working in AI-impacted industries like sales and marketing--who wish to expand their AI skillset and improve their effectiveness at work.

Exam AI-900

MC Azure AI Fundamentals Study Guide

Building and Deploying AI Applications at Scale

ML and Generative AI in the Data Lakehouse

Fundamentals to Programming

ARM PROCESSORS POWER ELECTRONICS

Lecture Notes in Networks and Systems

This book features selected papers from the International Conference on Information Technology and Intelligence (ITI 2024), organized by Dr. B. R. Ambedkar Institute of Technology, Andaman and Nicobar, India, during October 2024. The book is a collection of the state-of-the art research work in the cutting-edge technologies. This would provide an opportunity to gather scientific research work related to the artificial intelligence, data science and applications, cybersecurity, internet of things (IOT), cloud computing, information retrieval and knowledge management.

ICITI 2024, Volume 1

Proceedings of International Conference on Information Technology and Intelligence

This book proposes the first explicit software architecture for game development, answering the problem of building modern computer games with little or no game design. An archetypal software production process, based on this architecture, is also introduced.

Volume 1, Software Architecture and the Software Production Process

Event-Database Architecture for Computer Games

Looking to accelerate development and build cloud native applications with AWS Cloud Development Kit? Through hands-on projects, you'll learn the basics of AWS CDK, the tool of choice for many of the world's largest technology companies. Informed by real case studies and years of work with enterprise-scale cloud architectures, this book will benefit both novice and advanced cloud developers. It's complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions to help you build a shareable portfolio of completed projects, demonstrating your ability to build cloud infrastructure at scale. You'll explore: <ul> <li>Basic cloud computing concepts, including the AWS Well-Architected Framework </li><li>End-to-end cloud native software and infrastructure as code </li><li>The benefits of a reusable code library to accelerate your projects </li><li>Functional modules of code that can stand alone or build toward an integrated cloud application </li></ul>

Building Cloud Native Applications with Infrastructure-As-Code

Hands-On AWS Cdk

Building Micro-Frontends

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