Previously published as The Reis Cloud Cookbook by Femi Reis LEARNING AWS PRACTICALLY HAS FINALLY BEEN SIMPLIFIED! ◆21 real world projects step-by-step! ◆Powerful cloud skills interestingly presented! ◆Zero CLI! ◆100% Management Console! ◆Core AWS Services In a desire to garner practical skills, AWS beginners often find themselves combing through stacks of instructional videos, blogs and documentation, that run through confusing lines of commands and codes which leave them wondering if AWS is really as simple as they say it is. This book contains 21 real world projects that are all deliberately executed through the AWS Management Console in order to spare you the frustration of copying and pasting commands that are to you, at this stage, incomprehensible jargons which give you the finished product but still leave you clueless on the real process. In this book, you will execute projects with a wide range of AWS services including DynamoDB, AWS Lambda, EC2, Amplify, S3, IAM, VPC, Transfer Family, API Gateway, RDS, EFS, Route 53 and more. Each project is carefully designed to stand independent of the rest while remaining somewhat connected, thus achieving the effect of both building the skills you’ve acquired from other projects, and at the same introducing you to new concepts, methods and skills as you go along. The end product of this book is that, not only will you no longer be in a position where you have theoretical cloud knowledge without practical cloud skills, you will have 21 defendable and repeatable real world projects under your belt! When you’re done with this book, you would have become one with the process, and like a real Master Chef, you will be able to light the fire anywhere and fix the meals without opening the book.

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes. This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. This book contains 33 chapters contributed by Brian Kernighan, KarlFogel, Jon Bentley, Tim Bray, Elliotte Rusty Harold, Michael Feathers,Alberto Savoia, Charles Petzold, Douglas Crockford, Henry S. Warren,Jr., Ashish Gulhati, Lincoln Stein, Jim Kent, Jack Dongarra and PiotrLuszczek, Adam Kolawa, Greg Kroah-Hartman, Diomidis Spinellis, AndrewKuchling, Travis E. Oliphant, Ronald Mak, Rogerio Atem de Carvalho andRafael Monnerat, Bryan Cantrill, Jeff Dean and Sanjay Ghemawat, SimonPeyton Jones, Kent Dybvig, William Otte and Douglas C. Schmidt, AndrewPatzer, Andreas Zeller, Yukihiro Matsumoto, Arun Mehta, TV Raman,Laura Wingerd and Christopher Seiwald, and Brian Hayes. Beautiful Code is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International.

Become an Expert at Amazon Web Services and Transform Your Business! If cloud computing is one of the leading trends in the IT industry (and it most certainly is), then Amazon Web Services Platform (AWS) is the champion of that trend. If you want to be a part of the competitive markets, you need to jump on this ascending wagon and get familiar with the AWS. There's a reason successful businesses like Netflix and Pinterest use this platform. The math is simple: higher performance, security, and reliability at a lower cost. This book offers a guide to AWS, for both beginner and advanced users. If you want to reduce your companies operating costs, and control the safety of your data, use this step-by-step guide for computing and networking in the AWS cloud. What you'll be able to do after reading this guide: Use developing tools of AWS to your company's advantage Manage cloud architecture through AWS services Upgrade your outsourcing Create a private network in the cloud Implement AWS technology in your projects Create cloud storage and virtual desktop environment Use Amazon Workspaces and Amazon S3 service And so much more! The best part about AWS is that it works on any scale. You can be the owner of both big and small businesses in order to implement AWS in your operations. Even if you're familiar with the AWS cloud, this guide will help you expand your knowledge on the topic. You'll find out everything there is on AWS strategies, cloud selection, and how to make money with a smart AWS implementation in your company. You don't need to be an IT expert to use AWS. You simply need this comprehensive and easy to understand guide. Join millions of customers around the world and skyrocket your profits! Scroll up, click on 'Buy Now with 1-Click' and Get Your Copy!

Summary AWS Lambda in Action is an example-driven tutorial that teaches you how to build applications that use an event-driven approach on the back end. Foreword by James Governor. About the Technology With AWS Lambda, you write your code and upload it to the AWS cloud. AWS Lambda responds to the events triggered by your application or your users, and automatically manages the underlying computer resources for you. Back-end tasks like analyzing a new document or processing requests from a mobile app are easy to implement. Your application is divided into small functions, leading naturally to a reactive architecture and the adoption of microservices. About the Book AWS Lambda in Action is an example-driven tutorial that teaches you how to build applications that use an event-driven approach on the back-end. Starting with an overview of AWS Lambda, the book moves on to show you common examples and patterns that you can use to call Lambda functions from a web page or a mobile app. The second part of the book puts these smaller examples together to build larger applications. By the end, you'll be ready to create applications that take advantage of the high availability, security, performance, and scalability of AWS. What's Inside Create a simple API Create an event-driven media-sharing application Secure access to your application in the cloud Use functions from different clients like web pages or mobile apps Connect your application with external services About the Reader Requires basic knowledge of JavaScript. Some examples are also provided in Python. No AWS experience is assumed. About the Author Danilo Poccia is a technical evangelist at Amazon Web Services and a frequent speaker at public events and workshops. Table of Contents Running functions in the cloud Your first Lambda function Your function as a web API Managing security Using standalone functions Managing identities Calling functions from a client Designing an authentication service Implementing an authentication service Adding more features to the authentication service Building a media-sharing application Why event-driven? Improving development and testing Automating deployment Automating infrastructure management Calling external services Receiving events from other services PART 1 - FIRST STEPS PART 2 - BUILDING EVENT-DRIVEN APPLICATIONS PART 3 - FROM DEVELOPMENT TO PRODUCTION PART 4 - USING EXTERNAL SERVICES

Become an Expert at Amazon Web Services and Transform Your Business! If cloud computing is one of the leading trends in the IT industry (and it most certainly is), then Amazon Web Services Platform (AWS) is the champion of that trend. If you want to be a part of the competitive markets, you need to jump on this ascending wagon and get familiar with the AWS. There's a reason successful businesses like Netflix and Pinterest use this platform. The math is simple: higher performance, security, and reliability at a lower cost. This book offers a guide to AWS, for both beginner and advanced users. If you want to reduce your companies operating costs, and control the safety of your data, use this step-by-step guide for computing and networking in the AWS cloud. What you'll be able to do after reading this guide: Use developing tools of AWS to your company's advantage Manage cloud architecture through AWS services Upgrade your outsourcing Create a private network in the cloud Implement AWS technology in your projects Create cloud storage and virtual desktop environment Use Amazon Workspaces and Amazon S3 service And so much more! The best part about AWS is that it works on any scale. You can be the owner of both big and small businesses in order to implement AWS in your operations. Even if you're familiar with the AWS cloud, this guide will help you expand your knowledge on the topic. You'll find out everything there is on AWS strategies, cloud selection, and how to make money with a smart AWS implementation in your company. You don't need to be an IT expert to use AWS. You simply need this comprehensive and easy to understand guide. Join millions of customers around the world and skyrocket your profits! Scroll up, click on 'Buy Now with 1-Click' and Get Your Copy!

Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.