Explore Amazon Connect, from implementing call flows and creating AI bots to integrating artificial intelligence solutions and analyzing critical customer sentiment Key Features Discover how to integrate chat with Connect to allow organizations to reduce operations costs Leverage machine learning to perform natural language processing (NLP) for analyzing customer feedback and trends Learn how to integrate your enterprise application with Amazon Connect Book DescriptionAmazon Connect is a pay-as-you-go cloud contact center solution that powers Amazon's customer contact system and provides an impressive user experience while reducing costs. Connect's scalability has been especially helpful during COVID-19, helping customers with research, remote work, and other solutions, and has driven adoption rates higher. Amazon Connect: Up and Running will help you develop a foundational understanding of Connect's capabilities and how businesses can effectively estimate the costs and risks associated with migration. Complete with hands-on tutorials, costing profiles, and real-world use cases relating to improving business operations, this easy-to-follow guide will teach you everything you need to get your call center online, interface with critical business systems, and take your customer experience to the next level. As you advance, you'll understand the benefits of using Amazon Connect and cost estimation guidelines for migration and new deployments. Later, the book guides you through creating AI bots, implementing interfaces, and leveraging machine learning for business analytics. By the end of this book, you'll be able to bring a Connect call center online with all its major components and interfaces to significantly reduce personnel overhead and provide your customers with an enhanced user experience (UX). What you will learn Become well-versed with the capabilities and benefits of Amazon Connect Determine cost-effective solutions by integrating Connect with AWS Create, modify, and connect contact flows to improve efficiency Build a conversational interface with Amazon Lex Find out how to transfer contact records out of Connect via Kinesis Gather user insights and improve business operations with Amazon QuickSight Analyze customer-agent conversations with ML speech analytics capabilities Discover ways to provide superior customer service at a lower cost Who this book is forThis Amazon Connect book is for anyone looking to save costs and improve their customer experience through a more advanced call center using Amazon Connect and other AWS capabilities. A technical understanding of Amazon Web Services (AWS) and beginner-level business administration experience are necessary to address cost concerns and risks.

With over 200 recipes covering real-world examples, take your Odoo development skills to the next level and solve complex business problems using this guide Key Features Learn to develop new modules and modify existing modules using the Odoo framework Explore key concepts of the Odoo framework to build robust business applications Create dynamic websites with snippets and learn to deploy an Odoo instance on the server or Odoo.sh Book DescriptionWith its latest iteration, the powerful Odoo framework released a wide variety of features for rapid application development. This updated Odoo development cookbook will help you explore the new features in Odoo 14 and learn how to use them to develop Odoo applications from scratch. You'll learn about the new website concepts in Odoo 14 and get a glimpse of Odoo's new web-client framework, the Odoo Web Library (OWL). Once you've completed the installation, you'll begin to explore the Odoo framework with real-world examples. You'll then create a new Odoo module from the ground up and progress to advanced framework concepts. You'll also learn how to modify existing applications, including Point of Sale (POS) applications. This book isn't just limited to backend development; you'll discover advanced JavaScript recipes for creating new views and widgets. As you progress, you'll learn about website development and become a quality Odoo developer by studying performance optimization, debugging, and automated testing. Finally, you'll delve into advanced concepts such as multi-website, In-App Purchasing (IAP), Odoo.sh, the IoT Box, and security. By the end of the book, you'll have all the knowledge you need to build impressive Odoo applications and you'll be well versed in development best practices that will come in handy when working with the Odoo framework. What you will learn Build beautiful websites with Odoo CMS using dynamic building blocks Get to grips with advanced concepts such as caching, prefetching, debugging Modify backend JavaScript components and POS applications with the new OWL framework Connect and access any object in Odoo via Remote Procedure Calls (RPC) Manage, deploy, and test an Odoo instance with Odoo.sh Configure IoT Box to add and upgrade Point of Sale (POS) hardware Find out how to implement in-app purchase services Who this book is forThis book is suitable for both newcomers and experienced Odoo developers who want to develop a highly efficient business application with the Odoo framework. Basic knowledge of Python and JavaScript is necessary to get the most out of the book.

Get to grips with security assessment, vulnerability exploitation, workload security, and encryption with this guide to ethical hacking and learn to secure your AWS environment Key Features Perform cybersecurity events such as red or blue team activities and functional testing Gain an overview and understanding of AWS penetration testing and security Make the most of your AWS cloud infrastructure by learning about AWS fundamentals and exploring pentesting best practices Book DescriptionCloud security has always been treated as the highest priority by AWS while designing a robust cloud infrastructure. AWS has now extended its support to allow users and security experts to perform penetration tests on its environment. This has not only revealed a number of loopholes and brought vulnerable points in their existing system to the fore, but has also opened up opportunities for organizations to build a secure cloud environment. This book teaches you how to perform penetration tests in a controlled AWS environment. You'll begin by performing security assessments of major AWS resources such as Amazon EC2 instances, Amazon S3, Amazon API Gateway, and AWS Lambda. Throughout the course of this book, you'll also learn about specific tests such as exploiting applications, testing permissions flaws, and discovering weak policies. Moving on, you'll discover how to establish private-cloud access through backdoor Lambda functions. As you advance, you'll explore the no-go areas where users can't make changes due to vendor restrictions and find out how you can avoid being flagged to AWS in these cases. Finally, this book will take you through tips and tricks for securing your cloud environment in a professional way. By the end of this penetration testing book, you'll have become well-versed in a variety of ethical hacking techniques for securing your AWS environment against modern cyber threats. What you will learn Set up your AWS account and get well-versed in various pentesting services Delve into a variety of cloud pentesting tools and methodologies Discover how to exploit vulnerabilities in both AWS and applications Understand the legality of pentesting and learn how to stay in scope Explore cloud pentesting best practices, tips, and tricks Become competent at using tools such as Kali Linux, Metasploit, and Nmap Get to grips with post-exploitation procedures and find out how to write pentesting reports Who this book is forIf you are a network engineer, system administrator, or system operator looking to secure your AWS environment against external cyberattacks, then this book is for you. Ethical hackers, penetration testers, and security consultants who want to enhance their cloud security skills will also find this book useful. No prior experience in penetration testing is required; however, some understanding of cloud computing or AWS cloud is recommended.

Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable enterprise-level deployment Key Features Build scalable, seamless, and enterprise-ready cloud-based machine learning applications using TensorFlow Enterprise Discover how to accelerate the machine learning development life cycle using enterprise-grade services Manage Google's cloud services to scale and optimize AI models in production Book DescriptionTensorFlow as a machine learning (ML) library has matured into a production-ready ecosystem. This beginner's book uses practical examples to enable you to build and deploy TensorFlow models using optimal settings that ensure long-term support without having to worry about library deprecation or being left behind when it comes to bug fixes or workarounds. The book begins by showing you how to refine your TensorFlow project and set it up for enterprise-level deployment. You'll then learn how to choose a future-proof version of TensorFlow. As you advance, you'll find out how to build and deploy models in a robust and stable environment by following recommended practices made available in TensorFlow Enterprise. This book also teaches you how to manage your services better and enhance the performance and reliability of your artificial intelligence (AI) applications. You'll discover how to use various enterprise-ready services to accelerate your ML and AI workflows on Google Cloud Platform (GCP). Finally, you'll scale your ML models and handle heavy workloads across CPUs, GPUs, and Cloud TPUs. By the end of this TensorFlow book, you'll have learned the patterns needed for TensorFlow Enterprise model development, data pipelines, training, and deployment. What you will learn Discover how to set up a GCP TensorFlow Enterprise cloud instance and environment Handle and format raw data that can be consumed by the TensorFlow model training process Develop ML models and leverage prebuilt models using the TensorFlow Enterprise API Use distributed training strategies and implement hyperparameter tuning to scale and improve your model training experiments Scale the training process by using GPU and TPU clusters Adopt the latest model optimization techniques and deployment methodologies to improve model efficiency Who this book is forThis book is for data scientists, machine learning developers or engineers, and cloud practitioners who want to learn and implement various services and features offered by TensorFlow Enterprise from scratch. Basic knowledge of the machine learning development process will be useful.

Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence Key Features Get to grips with core machine learning algorithms along with AWS implementation Build model training and inference pipelines and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning in order to pass the MLS-C01 exam Book DescriptionThe AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS. Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them. By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML. What you will learn Understand all four domains covered in the exam, along with types of questions, exam duration, and scoring Become well-versed with machine learning terminologies, methodologies, frameworks, and the different AWS services for machine learning Get to grips with data preparation and using AWS services for batch and real-time data processing Explore the built-in machine learning algorithms in AWS and build and deploy your own models Evaluate machine learning models and tune hyperparameters Deploy machine learning models with the AWS infrastructure Who this book is forThis AWS book is for professionals and students who want to prepare for and pass the AWS Certified Machine Learning Specialty exam or gain deeper knowledge of machine learning with a special focus on AWS. Beginner-level knowledge of machine learning and AWS services is necessary before getting started with this book.

Get up to speed with the essential concepts and techniques necessary to prepare for the Salesforce Platform App Builder certification exam Key Features Prepare for the Salesforce Platform App Builder certification exam by exploring important concepts and expert tips and techniques Design the data model, user interface, business logic, and security for custom apps Understand the key milestones and considerations when managing an application lifecycle Book DescriptionDo you want to be able to confidently design and build apps that support business processes within the Lightning Platform? Salesforce Platform App Builder Certification Guide not only helps you to do this, but also prepares you for the certification exam. The book starts by describing the core capabilities of the Lightning Platform. You'll learn techniques for data modeling to design, build, and deploy apps without writing code and achieve rapid results with the declarative capabilities that the Lightning Platform provides. Next, you'll explore utilities for importing and exporting data and the features available in the Lightning Platform to restrict and extend access to objects, fields, and records. You'll also be able to customize the Salesforce Lightning Experience user interface (UI) and build functionality for custom buttons, links, and actions. Later, this certification study guide will take you through reporting and the social and mobile features of the Lightning Platform. Finally, you'll get to grips with Salesforce build environments and deployment options. By the end of this Salesforce book, you'll not only have learned how to build data models, enforce data security, and implement business logic and process automation, but also have gained the confidence to pass the Platform App Builder exam and achieve Salesforce certification. What you will learn Explore the core features of the Lightning Platform Design and build an appropriate data model for a given scenario Identify the Lightning Platform's features and capabilities Customize the Salesforce Lightning Experience UI Implement business logic and process automation Identify the capabilities of declarative customization Who this book is forThis book is for beginners and aspiring developers who want to learn how to build apps on the Salesforce Platform or pass the Salesforce Platform App Builder certification exam. Salesforce administrators and existing Salesforce Lightning Platform developers looking to learn more about the declarative, non-programmatic app building capabilities of the Salesforce Lightning Platform will also find this book useful.

Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), Business Intelligence (BI) and Big Data analytics (BDA) are business related tasks and processes, which are supported by standardized software solutions. The book explains that this requires business-oriented thinking and acting from IT specialists and data scientists. It is a good idea to let students experience this directly from the business perspective, for example as executives of a virtual company in a role-playing game. The second edition of the book has been completely revised, restructured and supplemented with actual topics such as blockchains in supply chains and the correlation between Big Data analytics, artificial intelligence and machine learning. The structure of the book is based on the gradual implementation and integration of the respective information systems from the business and management perspectives. Part I contains chapters with detailed descriptions of the topics supplemented by online tests and exercises. Part II introduces role play and the online gaming and simulation environment. Supplementary teaching material, presentations, templates, and video clips are available online in the gaming area. The gaming and business simulation Kdibisglobal.com, newly created for this book, now includes a beer division, a bottled water division, a soft drink division and a manufacturing division for barcode cash register scanner with their specific business processes and supply chains.

Design and build high-performance, secure, and scalable Salesforce solutions to meet business demands and gain practical experience using real-world scenarios by creating engaging end-to-end solution presentations Key Features Learn common integration, data migration, and security patterns for designing scalable and reliable solutions on the Salesforce Lightning platform Build an end-to-end delivery framework pipeline for delivering successful projects within specified timelines Gain access to an exclusive book club of skilled Salesforce professionals, to discuss ideas, best practices, and share experiences of designing modern solutions using Salesforce Book DescriptionSalesforce Certified Technical Architect (CTA) is the ultimate certification to validate your knowledge and skills when it comes to designing and building high-performance technical solutions on the Salesforce platform. The CTA certificate is granted after successfully passing the CTA review board exam, which tests your platform expertise and soft skills for communicating your solutions and vision. You'll start with the core concepts that every architect should master, including data lifecycle, integration, and security, and build your aptitude for creating high-level technical solutions. Using real-world examples, you'll explore essential topics such as selecting systems or components for your solutions, designing scalable and secure Salesforce architecture, and planning the development lifecycle and deployments. Finally, you'll work on two full mock scenarios that simulate the review board exam, helping you learn how to identify requirements, create a draft solution, and combine all the elements together to create an engaging story to present in front of the board or to a client in real life. By the end of this Salesforce book, you'll have gained the knowledge and skills required to pass the review board exam and implement architectural best practices and strategies in your day-to-day work. What you will learn Explore data lifecycle management and apply it effectively in the Salesforce ecosystem Design appropriate enterprise integration interfaces to build your connected solution Understand the essential concepts of identity and access management Develop scalable Salesforce data and system architecture Design the project environment and release strategy for your solution Articulate the benefits, limitations, and design considerations relating to your solution Discover tips, tricks, and strategies to prepare for the Salesforce CTA review board exam Who this book is forThis book is for Salesforce architects who want to become certified technical architects by learning how to design secure and scalable technical solutions for their organizations. A solid understanding of the Salesforce platform is required, ideally combined with 3 to 5 years of practical experience as an application architect, system architect, enterprise architect, or solution architect.