Learning Aws

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Learning AWS

Aurobindo Sarkar,Amit Shah
Learning AWS Book PDF

Author : Aurobindo Sarkar,Amit Shah
Publisher : Packt Publishing Ltd
Page : 401 pages
File Size : 46,9 Mb
Release : 2018-02-01
Category : Computers
ISBN : 9781787289314

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Learning AWS by Aurobindo Sarkar,Amit Shah Pdf

Discover techniques and tools for building serverless applications with AWS Key Features Get well-versed with building and deploying serverless APIs with microservices Learn to build distributed applications and microservices with AWS Step Functions A step-by-step guide that will get you up and running with building and managing applications on the AWS platform Book Description Amazon Web Services (AWS) is the most popular and widely-used cloud platform. Administering and deploying application on AWS makes the applications resilient and robust. The main focus of the book is to cover the basic concepts of cloud-based development followed by running solutions in AWS Cloud, which will help the solutions run at scale. This book not only guides you through the trade-offs and ideas behind efficient cloud applications, but is a comprehensive guide to getting the most out of AWS. In the first section, you will begin by looking at the key concepts of AWS, setting up your AWS account, and operating it. This guide also covers cloud service models, which will help you build highly scalable and secure applications on the AWS platform. We will then dive deep into concepts of cloud computing with S3 storage, RDS and EC2. Next, this book will walk you through VPC, building realtime serverless environments, and deploying serverless APIs with microservices. Finally, this book will teach you to monitor your applications, and automate your infrastructure and deploy with CloudFormation. By the end of this book, you will be well-versed with the various services that AWS provides and will be able to leverage AWS infrastructure to accelerate the development process. What you will learn Set up your AWS account and get started with the basic concepts of AWS Learn about AWS terminology and identity access management Acquaint yourself with important elements of the cloud with features such as computing, ELB, and VPC Back up your database and ensure high availability by having an understanding of database-related services in the AWS cloud Integrate AWS services with your application to meet and exceed non-functional requirements Create and automate infrastructure to design cost-effective, highly available applications Who this book is for If you are an I.T. professional or a system architect who wants to improve infrastructure using AWS, then this book is for you. It is also for programmers who are new to AWS and want to build highly efficient, scalable applications.

Learning AWS IoT

Agus Kurniawan
Learning AWS IoT Book PDF

Author : Agus Kurniawan
Publisher : Packt Publishing Ltd
Page : 270 pages
File Size : 53,6 Mb
Release : 2018-01-29
Category : Computers
ISBN : 9781788394666

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Learning AWS IoT by Agus Kurniawan Pdf

Learn to use AWS IoT services to build your connected applications with the help of this comprehensive guide. Key Features Gets you started with AWS IoT and its functionalities Learn different modules of AWS IoT with practical use cases. Learn to secure your IoT communication Book Description The Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and versatile management console. This book initially introduces you to the IoT platforms, and how it makes our IoT development easy. It then covers the complete AWS IoT Suite and how it can be used to develop secure communication between internet-connected things such as sensors, actuators, embedded devices, smart applications, and so on. The book also covers the various modules of AWS: AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases. Near the end, the book supplies security-related best practices to make bi-directional communication more secure. When you've finished this book, you'll be up-and-running with the AWS IoT Suite, and building IoT projects. What you will learn Implement AWS IoT on IoT projects Learn the technical capabilities of AWS IoT and IoT devices Create IoT-based AWS IoT projects Choose IoT devices and AWS IoT platforms to use based on the kind of project you need to build Deploy AWS Greengrass and AWS Lambda Develop program for AWS IoT Button Visualize IoT AWS data Build predictive analytics using AWS IoT and AWS Machine Learning Who this book is for This book is for anyone who wants to get started with the AWS IoT Suite and implement it with practical use cases. This book acts as an extensive guide, on completion of which you will be in a position to start building IoT projects using AWS IoT platform and using cloud services for your projects.

Learning Amazon Web Services (AWS)

Mark Wilkins
Learning Amazon Web Services AWS Book PDF

Author : Mark Wilkins
Publisher : Addison-Wesley Professional
Page : 606 pages
File Size : 43,7 Mb
Release : 2019-07-02
Category : Computers
ISBN : 9780135301098

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Learning Amazon Web Services (AWS) by Mark Wilkins Pdf

The Practical, Foundational Technical Introduction to the World’s #1 Cloud Platform Includes access to several hours of online training video: Mark Wilkins’ expert training video library guides you through setting up core services and prepares you to deploy your own apps and resources. Learning Amazon Web Services (AWS) is the perfect foundational resource for all administrators, developers, project managers, and other IT professionals who want to plan and deploy AWS services and/or earn AWS certification. Top cloud trainer and evangelist Mark Wilkins teaches best practices that align with Amazon’s Well-Architected Framework, introduces key concepts in the context of a running case study, carefully explains how core AWS services operate and integrate, and offers extensively tested tips for maximizing flexibility, security, and value. Companion online videos guide you step-by-step through setting AWS compute, storage, networking, scale, security, automation, and more. Balance cost, compliance, and latency in your service designs Choose the right networking options for your virtual private cloud (VPC) Build, host, launch, manage, and budget for EC2 compute services Plan for scale and resiliency, and make informed decisions about AWS storage Enforce strict security, and automate to improve operational efficiency This book with companion training videos is a valuable learning tool for anyone seeking to demonstrate expertise through formal certification. WEB EDITION: All buyers of the book or ebook can register your book for access to a free online Web Edition of this title, which included videos embedded within the text, plus updates as they become available.

Learning AWS Lumberyard Game Development

Dr. Edward Lavieri
Learning AWS Lumberyard Game Development Book PDF

Author : Dr. Edward Lavieri
Publisher : Packt Publishing Ltd
Page : 260 pages
File Size : 47,8 Mb
Release : 2016-10-28
Category : Computers
ISBN : 9781786468857

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Learning AWS Lumberyard Game Development by Dr. Edward Lavieri Pdf

Create stunning 3D multiplayer games with integrated cloud-based features About This Book Build a multiplayer 3D game from scratch using the features of Amazon's Lumberyard Explore the world of Lumberyard along with Twitch and various key Amazon Web Services to build a game This step-by-step practical guide will teach you how to build cross-platform games using Lumberyard Who This Book Is For The book caters for those who have an interest or desire to create their own games, either as a hobbyist or to enhance their skills as a professional games developer. The book requires previous knowledge of software development. Experience with C++ will also be beneficial. What You Will Learn Explore Lumberyard's graphical user interface Create stunning game worlds Use Geppetto editor to create 3D characters Create and animate game characters using Lumberyard's toolset Create impressive gameplay to add multiplayer functionality to your game Debug and play your 3D game Add multiplayer functionality to your game using Amazon GameLift Integrate with Amazon cloud services to support cloud computing and storage Engage your users during gameplay with Twitch In Detail Amazon's Lumberyard is a 3D cross-platform game development engine for building high-quality AAA games. It makes the process of creating multi-player games and adding realistic characters, stunning terrains, and special effects much faster and more efficient. This book will show you how to use Lumberyard to create a multiplayer 3D game with cloud computing, storage, and Twitch integration for user engagement. We will start with an introduction to Lumberyard and provide an overview of its capabilities and integration options. Once the game engine is installed, we'll guide you through the creation of an immersive game world with characters. You'll add animations and audio to bring the game to life. We'll explore external interactions to support live multiplayer game play, data storage, user engagement, and the back end. By the end of the book, you will be efficient in building cross-platform games using Lumberyard. Style and approach This step-by-step tutorial is filled with practical examples that will introduce you to the game engine's interface, as well as setting up your development environment.

Machine Learning in the AWS Cloud

Abhishek Mishra
Machine Learning in the AWS Cloud Book PDF

Author : Abhishek Mishra
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 48,6 Mb
Release : 2019-08-09
Category : Computers
ISBN : 9781119556732

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Machine Learning in the AWS Cloud by Abhishek Mishra Pdf

Put the power of AWS Cloud machine learning services to work in your business and commercial applications! Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have some knowledge of Python and a basic knowledge of Amazon Web Services. Part One introduces readers to fundamental machine learning concepts. You will learn about the types of ML systems, how they are used, and challenges you may face with ML solutions. Part Two focuses on machine learning services provided by Amazon Web Services. You’ll be introduced to the basics of cloud computing and AWS offerings in the cloud-based machine learning space. Then you’ll learn to use Amazon Machine Learning to solve a simpler class of machine learning problems, and Amazon SageMaker to solve more complex problems. • Learn techniques that allow you to preprocess data, basic feature engineering, visualizing data, and model building • Discover common neural network frameworks with Amazon SageMaker • Solve computer vision problems with Amazon Rekognition • Benefit from illustrations, source code examples, and sidebars in each chapter The book appeals to both Python developers and technical/solution architects. Developers will find concrete examples that show them how to perform common ML tasks with Python on AWS. Technical/solution architects will find useful information on the machine learning capabilities of the AWS ecosystem.

AWS certification guide - AWS Certified Machine Learning - Specialty

Anonim
AWS certification guide AWS Certified Machine Learning Specialty Book PDF

Author : Anonim
Publisher : Cybellium Ltd
Page : 167 pages
File Size : 53,9 Mb
Release : 2024-06-14
Category : Computers
ISBN : 9798871220535

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AWS certification guide - AWS Certified Machine Learning - Specialty by Anonim Pdf

AWS Certification Guide - AWS Certified Machine Learning – Specialty Unleash the Potential of AWS Machine Learning Embark on a comprehensive journey into the world of machine learning on AWS with this essential guide, tailored for those pursuing the AWS Certified Machine Learning – Specialty certification. This book is a valuable resource for professionals seeking to harness the power of AWS for machine learning applications. Inside, You'll Explore: Foundational to Advanced ML Concepts: Understand the breadth of AWS machine learning services and tools, from SageMaker to DeepLens, and learn how to apply them in various scenarios. Practical Machine Learning Scenarios: Delve into real-world examples and case studies, illustrating the practical applications of AWS machine learning technologies in different industries. Targeted Exam Preparation: Navigate the certification exam with confidence, thanks to detailed insights into the exam format, including specific chapters aligned with the certification objectives and comprehensive practice questions. Latest Trends and Best Practices: Stay at the forefront of machine learning advancements with up-to-date coverage of the latest AWS features and industry best practices. Written by a Machine Learning Expert Authored by an experienced practitioner in AWS machine learning, this guide combines in-depth knowledge with practical insights, providing a rich and comprehensive learning experience. Your Comprehensive Resource for ML Certification Whether you are deepening your existing machine learning skills or embarking on a new specialty in AWS, this book is your definitive companion, offering an in-depth exploration of AWS machine learning services and preparing you for the Specialty certification exam. Advance Your Machine Learning Career Beyond preparing for the exam, this guide is about mastering the complexities of AWS machine learning. It's a pathway to developing expertise that can be applied in innovative and transformative ways across various sectors. Start Your Specialized Journey in AWS Machine Learning Set off on your path to becoming an AWS Certified Machine Learning specialist. This guide is your first step towards mastering AWS machine learning and unlocking new opportunities in this exciting and rapidly evolving field. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Applied Machine Learning for Healthcare and Life Sciences Using AWS

Ujjwal Ratan
Applied Machine Learning for Healthcare and Life Sciences Using AWS Book PDF

Author : Ujjwal Ratan
Publisher : Packt Publishing Ltd
Page : 224 pages
File Size : 40,7 Mb
Release : 2022-11-25
Category : Computers
ISBN : 9781804619193

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Applied Machine Learning for Healthcare and Life Sciences Using AWS by Ujjwal Ratan Pdf

Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations Key FeaturesLearn about healthcare industry challenges and how machine learning can solve themExplore AWS machine learning services and their applications in healthcare and life sciencesDiscover practical coding instructions to implement machine learning for healthcare and life sciencesBook Description While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics. This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You'll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications. By the end of this book, you'll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence. What you will learnExplore the healthcare and life sciences industryFind out about the key applications of AI in different industry segmentsApply AI to medical images, clinical notes, and patient dataDiscover security, privacy, fairness, and explainability best practicesExplore the AWS ML stack and key AI services for the industryDevelop practical ML skills using code and AWS servicesDiscover all about industry regulatory requirementsWho this book is for This book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends and landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.

AWS Certified Machine Learning Study Guide

Shreyas Subramanian,Stefan Natu
AWS Certified Machine Learning Study Guide Book PDF

Author : Shreyas Subramanian,Stefan Natu
Publisher : John Wiley & Sons
Page : 382 pages
File Size : 42,9 Mb
Release : 2021-11-19
Category : Computers
ISBN : 9781119821014

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AWS Certified Machine Learning Study Guide by Shreyas Subramanian,Stefan Natu Pdf

Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learning business solutions. The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture. From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam. You’ll also find: An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science Access to the Sybex online learning resources and test bank, with chapter review questions, a full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.

Applied Machine Learning and High-Performance Computing on AWS

Mani Khanuja,Farooq Sabir,Shreyas Subramanian,Trenton Potgieter
Applied Machine Learning and High Performance Computing on AWS Book PDF

Author : Mani Khanuja,Farooq Sabir,Shreyas Subramanian,Trenton Potgieter
Publisher : Packt Publishing Ltd
Page : 382 pages
File Size : 41,6 Mb
Release : 2022-12-30
Category : Computers
ISBN : 9781803244440

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Applied Machine Learning and High-Performance Computing on AWS by Mani Khanuja,Farooq Sabir,Shreyas Subramanian,Trenton Potgieter Pdf

Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMaker Key FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook Description Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you'll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases. By the end of this book, you'll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle. What you will learnExplore data management, storage, and fast networking for HPC applicationsFocus on the analysis and visualization of a large volume of data using SparkTrain visual transformer models using SageMaker distributed trainingDeploy and manage ML models at scale on the cloud and at the edgeGet to grips with performance optimization of ML models for low latency workloadsApply HPC to industry domains such as CFD, genomics, AV, and optimizationWho this book is for The book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful.

Cloud Native AI and Machine Learning on AWS

Premkumar Rangarajan,David Bounds
Cloud Native AI and Machine Learning on AWS Book PDF

Author : Premkumar Rangarajan,David Bounds
Publisher : BPB Publications
Page : 366 pages
File Size : 47,5 Mb
Release : 2023-02-14
Category : Computers
ISBN : 9789355513267

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Cloud Native AI and Machine Learning on AWS by Premkumar Rangarajan,David Bounds Pdf

Bring elasticity and innovation to Machine Learning and AI operations KEY FEATURES ● Coverage includes a wide range of AWS AI and ML services to help you speedily get fully operational with ML. ● Packed with real-world examples, practical guides, and expert data science methods for improving AI/ML education on AWS. ● Includes ready-made, purpose-built models as AI services and proven methods to adopt MLOps techniques. DESCRIPTION Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation. In this book, you'll learn how to build data lakes, build and train machine learning models, automate MLOps, ensure maximum data reusability and reproducibility, and much more. The applications presented in the book show how to make the most of several different AWS offerings, including Amazon Comprehend, Amazon Rekognition, Amazon Lookout, and AutoML. This book teaches you to manage massive data lakes, train artificial intelligence models, release these applications into production, and track their progress in real-time. You will learn how to use the pre-trained models for various tasks, including picture recognition, automated data extraction, image/video detection, and anomaly detection. Every step of your Machine Learning and AI project's development process is optimised throughout the book by utilising Amazon's pre-made, purpose-built AI services. WHAT YOU WILL LEARN ● Learn how to build, deploy, and manage large-scale AI and ML applications on AWS. ● Get your hands dirty with AWS AI services like SageMaker, Comprehend, Rekognition, Lookout, and AutoML. ● Master data transformation, feature engineering, and model training with Amazon SageMaker modules. ● Use neural networks, distributed learning, and deep learning algorithms to improve ML models. ● Use AutoML, SageMaker Canvas, and Autopilot for Model Deployment and Evaluation. ● Acquire expertise with Amazon SageMaker Studio, Jupyter Server, and ML frameworks such as TensorFlow and MXNet. WHO THIS BOOK IS FOR Data Engineers, Data Scientists, AWS and Cloud Professionals who are comfortable with machine learning and the fundamentals of Python will find this book powerful. Familiarity with AWS would be helpful but is not required. TABLE OF CONTENTS 1. Introducing the ML Workflow 2. Hydrating the Data Lake 3. Predicting the Future With Features 4. Orchestrating the Data Continuum 5. Casting a Deeper Net (Algorithms and Neural Networks) 6. Iteration Makes Intelligence (Model Training and Tuning) 7. Let George Take Over (AutoML in Action) 8. Blue or Green (Model Deployment Strategies) 9. Wisdom at Scale with Elastic Inference 10. Adding Intelligence with Sensory Cognition 11. AI for Industrial Automation 12. Operationalized Model Assembly (MLOps and Best Practices)

⬆️ Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Practice Tests Exams 138 Questions & Answers PDF

Daniel Danielecki
Amazon Web Services Certified AWS Certified Machine Learning Specialty MLS C01 Practice Tests Exams 138 Questions Answers PDF Book PDF

Author : Daniel Danielecki
Publisher : Daniel Danielecki
Page : 69 pages
File Size : 45,9 Mb
Release : 2024-01-19
Category : Computers
ISBN : 8210379456XXX

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⬆️ Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Practice Tests Exams 138 Questions & Answers PDF by Daniel Danielecki Pdf

⌛️ Short and to the point; why should you buy the PDF with these Practice Tests Exams: 1. Always happy to answer your questions on Google Play Books and outside :) 2. Failed? Please submit a screenshot of your exam result and request a refund; we'll always accept it. 3. Learn about topics, such as: - Amazon Athena; - Amazon CloudWatch; - Amazon Comprehend; - Amazon Elastic Compute Cloud (Amazon EC2); - Amazon Elastic Map Reduce (Amazon EMR); - Amazon Kinesis; - Amazon SageMaker; - Amazon Simple Storage Service (Amazon S3); - Amazon Textract; - Amazon Transcribe; - Apache Parquet; - Apache Spark; - AWS Batch; - AWS Glue; - AWS Lambda; - Convolutional Neural Network (CNN); - K-means; - Linear Regression; - Logistic Regression; - Principal Component Analysis (PCA); - Recurrent Neural Network (RNN); - Virtual Private Clouds (VPC); - Much More! 4. Questions are similar to the actual exam, without duplications (like in other courses ;-)). 5. These tests are not an Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Exam Dump. Some people use brain dumps or exam dumps, but that's absurd, which we don't practice. 6. 138 unique questions.

⬆️ Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Practice Tests Exams 138 Questions & No Answers PDF

Daniel Danielecki
Amazon Web Services Certified AWS Certified Machine Learning Specialty MLS C01 Practice Tests Exams 138 Questions No Answers PDF Book PDF

Author : Daniel Danielecki
Publisher : Daniel Danielecki
Page : 69 pages
File Size : 45,5 Mb
Release : 2024-01-19
Category : Computers
ISBN : 8210379456XXX

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⬆️ Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Practice Tests Exams 138 Questions & No Answers PDF by Daniel Danielecki Pdf

⚠️ IMPORTANT: This PDF is without correct answers marked; that way, you can print it out or solve it digitally before checking the correct answers. We also sell this PDF with answers marked; please check our Shop to find one. ⌛️ Short and to the point; why should you buy the PDF with these Practice Tests Exams: 1. Always happy to answer your questions on Google Play Books and outside :) 2. Failed? Please submit a screenshot of your exam result and request a refund; we'll always accept it. 3. Learn about topics, such as: - Amazon Athena; - Amazon CloudWatch; - Amazon Comprehend; - Amazon Elastic Compute Cloud (Amazon EC2); - Amazon Elastic Map Reduce (Amazon EMR); - Amazon Kinesis; - Amazon SageMaker; - Amazon Simple Storage Service (Amazon S3); - Amazon Textract; - Amazon Transcribe; - Apache Parquet; - Apache Spark; - AWS Batch; - AWS Glue; - AWS Lambda; - Convolutional Neural Network (CNN); - K-means; - Linear Regression; - Logistic Regression; - Principal Component Analysis (PCA); - Recurrent Neural Network (RNN); - Virtual Private Clouds (VPC); - Much More! 4. Questions are similar to the actual exam, without duplications (like in other courses ;-)). 5. These tests are not an Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Exam Dump. Some people use brain dumps or exam dumps, but that's absurd, which we don't practice. 6. 138 unique questions.

Learn AWS Serverless Computing

Scott Patterson
Learn AWS Serverless Computing Book PDF

Author : Scott Patterson
Publisher : Packt Publishing Ltd
Page : 367 pages
File Size : 44,7 Mb
Release : 2019-12-24
Category : Computers
ISBN : 9781789959956

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Learn AWS Serverless Computing by Scott Patterson Pdf

Build, deploy, test, and run cloud-native serverless applications using AWS Lambda and other popular AWS services Key FeaturesLearn how to write, run, and deploy serverless applications in Amazon Web ServicesMake the most of AWS Lambda functions to build scalable and cost-efficient systemsBuild and deploy serverless applications with Amazon API Gateway and AWS Lambda functionsBook Description Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You’ll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you’ll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you’ll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers. What you will learnUnderstand the core concepts of serverless computing in AWSCreate your own AWS Lambda functions and build serverless APIs using Amazon API GatewayExplore best practices for developing serverless applications at scale using Serverless FrameworkDiscover the DevOps patterns in a modern CI/CD pipeline with AWS CodePipelineBuild serverless data processing jobs to extract, transform, and load dataEnforce resource tagging policies with continuous compliance and AWS ConfigCreate chatbots with natural language understanding to perform automated tasksWho this book is for This AWS book is for cloud architects and developers who want to build and deploy serverless applications using AWS Lambda. A basic understanding of AWS is required to get the most out of this book.

Learn Amazon Web Services in a Month of Lunches

David Clinton
Learn Amazon Web Services in a Month of Lunches Book PDF

Author : David Clinton
Publisher : Simon and Schuster
Page : 397 pages
File Size : 47,8 Mb
Release : 2017-08-18
Category : Computers
ISBN : 9781638351337

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Learn Amazon Web Services in a Month of Lunches by David Clinton Pdf

Summary Learn Amazon Web Services in a Month of Lunches guides you through the process of building a robust and secure web application using the core AWS services you really need to know. You'll be amazed by how much you can accomplish with AWS! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Cloud computing has transformed the way we build and deliver software. With the Amazon Web Services cloud platform, you can trade expensive glass room hardware and custom infrastructure for virtual servers and easy-to-configure storage, security, and networking services. Better, because you don't own the hardware, you only pay for the computing power you need! Just learn a few key ideas and techniques and you can have applications up and running in AWS in minutes. About the Book Learn Amazon Web Services in a Month of Lunches gets you started with AWS fast. In just 21 bite-size lessons, you'll learn the concepts and practical techniques you need to deploy and manage applications. You'll learn by doing real-world labs that guide you from the core AWS tool set through setting up security and storage and planning for growth. You'll even deploy a public-facing application that's highly available, scalable, and load balanced. What's Inside First steps with AWS - no experience required Deploy web apps using EC2, RDS, S3, and Route 53 Cheap and fast system backups Setting up cloud automation About the Reader If you know your way around Windows or Linux and have a basic idea of how web applications work, you're ready to start using AWS. About the Author David Clinton is a system administrator, teacher, and writer. He has administered, written about, and created training materials for many important technology subjects including Linux systems, cloud computing (AWS in particular), and container technologies like Docker. Many of his video training courses can be found on Pluralsight.com, and links to his other books (on Linux administration and server virtualization) can be found at https://bootstrap-it.com. Table of Contents Before you begin PART 1 - THE CORE AWS TOOLS The 10-minute EC2 web server Provisioning a more robust EC2 website Databases on AWS DNS: what’s in a name? S3: cheap, fast file storage S3: cheap, fast system backups AWS security: working with IAM users, groups, and roles Managing growth Pushing back against the chaos: using resource tags CloudWatch: monitoring AWS resources for fun and profit Another way to play: the command-line interface PART 2 - THE AWS POWER USER: OPTIMIZING YOUR INFRASTRUCTURE Keeping ahead of user demand High availability: working with AWS networking tools High availability: load balancing High availability: auto scaling High availability: content-delivery networks PART 3 - FOOD FOR THOUGHT: WHAT ELSE CAN AWS DO FOR YOU? Building hybrid infrastructure Cloud automation: working with Elastic Beanstalk, Docker, and Lambda Everything else (nearly) Never the end

A Beginners Guide to Amazon Web Services

Parul Dubey,Rohit Raja
A Beginners Guide to Amazon Web Services Book PDF

Author : Parul Dubey,Rohit Raja
Publisher : CRC Press
Page : 193 pages
File Size : 45,5 Mb
Release : 2024-01-18
Category : Computers
ISBN : 9781003824619

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A Beginners Guide to Amazon Web Services by Parul Dubey,Rohit Raja Pdf

Amazon Web Services (AWS) provides on-demand cloud computing platforms and application programming interfaces (APIs) to individuals, companies, and govern- ments, along with distributed computing processing capacity and software tools via AWS server farms. This text presents a hands-on approach for beginners to get started with Amazon Web Services (AWS) in a simple way. Key Features It discusses topics such as Amazon Elastic Compute Cloud, Elastic Load Balancing, Auto Scaling Groups, and Amazon Simple Storage Service. It showcases Amazon Web Services’ identity, access management resources, and attribute-based access control. It covers serverless computing services, Virtual Private Cloud, Amazon Aurora, and Amazon Comprehend. It explains Amazon Web Services Free Tier, Amazon Web Services Marketplace, and Amazon Elastic Container Service. It includes security in Amazon Web Services, the shared responsibilitymodel, and high-performance computing on Amazon Web Services. The text is primarily written for graduate students, professionals, and academic researchers working in the fields of computer science, engineering, and information technology. Parul Dubey is currently working as an Assistant professor in the Department of Artificial Intelligence at G H Raisoni College of Engineering, Nagpur, India. She has filed for 15 Indian patents. She is responsible for about 10 publications in conference proceedings, Scopus, and journals. She has contributed book chapters in an edited book published by CRC Press and other reputed publishers. She is also an AWS Certified Cloud Practitioner. Rohit Raja is working as an associate professor and head in the Department of Information Technology at Guru Ghasidas Vishwavidyalaya, Bilaspur, India. His research interests include facial recognition, signal processing, networking, and data mining. He has pub- lished 100 research papers in various international and national journals (including publications by the IEEE, Springer, etc.) and proceedings of reputed international and national conferences (again including publications by Springer and the IEEE).