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Real-World Engineering Management

Real-World Engineering Management

Learn software engineering management using the same practices as Amazon Web Services (AWS), with comparisons to the practices at Google and Microsoft! Gain insights to impress on your first (or next) engineering manager (EM or SDM) role. Lead instructor Nancy Wang, Director of Engineering and Product and General Manager of Data Protection Services at Amazon Web Services, shares the key business, technical, design, and leadership skills necessary for success at engineering manager roles at the world’s top technology companies.

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Communicating Data Science Results

Communicating Data Science Results

Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to complete this assignment, you will need to make use of Amazon Web Services (AWS). Amazon has generously offered to provide up to $50 in free AWS credit to each learner in this course to allow you to complete the assignment.

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  • 8 hours
  • English
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Inspiring Peak Performance on Technical Teams

Inspiring Peak Performance on Technical Teams

Sponsored by AMAZON WEB SERVICES (AWS). In the previous course, Leadership Principles for Software Engineers, you learned about how to hire your team and set its goals. Now, learn how to lead each individual team member, increasing their personal best performance, and your team's overall performance, day after day.

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  • 6 hours
  • English
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Cloud Data Engineering

Cloud Data Engineering

Welcome to the third course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn how to apply Data Engineering to real-world projects using the Cloud computing concepts introduced in the first two courses of this series. By the end of this course, you will be able to develop Data Engineering applications and use software development best practices to create data engineering applications. These will include continuous deployment, code quality tools, logging, instrumentation and monitoring.

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  • 17 hours
  • English
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Auto Machine Learning (AutoML) Using AutoGluon

Auto Machine Learning (AutoML) Using AutoGluon

Hello everyone and welcome to this new hands-on project on AutoML with AutoGluon. In this project, we will use a power library known as AutoGluon to train several machine learning models to solve classification type problems. AutoGluon is the library behind Amazon web services autopilot, and it allows for quick prototyping of several powerful models using a few lines of code. You can add this project to your portfolio of projects which is essential for your next job interview.

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  • 2 hours
  • English
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The Business of Product Management I

The Business of Product Management I

Learn to excel in product management roles while learning directly from industry-leading product managers and real-world case studies from Amazon, Intuit, Procter and Gamble, Barnes and Noble, Whole Foods, Google, Twitter, Tesla, Dropbox, Eventbrite, Blue, Samson, Coffee Meets Bagel, Mixpanel, and more! Featuring expert product manager instructors including: * NANCY WANG, Head of Data Protection Services, Amazon Web Services; Founder and CEO, Advancing Women in Product * WAYNE DUSO, Vice President for Edge Computing, File Services, and Data Services, Amazon Web Services * ARUM KANG, Co-Found

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  • 16 hours
  • English
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AWS Fundamentals: Building Serverless Applications

AWS Fundamentals: Building Serverless Applications

This course will introduce you to Amazon Web Services (AWS) serverless architecture. Through demonstrations and hands-on exercises you'll learn skills in building and deploying serverless solutions.
Using real-world examples of a serverless website and chat bot, you'll build upon your existing knowledge of the AWS cloud to take advantage of the benefits of modern architectures for greater agility, innovation, and lower total cost of ownership across a range of AWS services, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Lex.

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  • 11 hours
  • English
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Create a Virtual Machine Using AWS EC2

Create a Virtual Machine Using AWS EC2

By the end of this project, you will have successfully set up two virtual machines using Amazon Web Services and tested a Linux-based virtual machine.

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  • 2 hours
  • English
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Cloud Virtualization, Containers and APIs

Cloud Virtualization, Containers and APIs

Welcome to the second course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn to design Cloud-native systems with the fundamental building blocks of Cloud computing. These building blocks include virtual machines and containers. You will also learn how to build effective Microservices using technologies like Flask and Kubernetes. Finally, you will analyze successful patterns in Operations including: Effective alerts, load testing and Kaizen.

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  • 14 hours
  • English
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Working with Amazon DynamoDB using Python & Boto3

Working with Amazon DynamoDB using Python & Boto3

In this 2-hours long project, we will look at how to work with DynamoDB, a fully managed NoSQL Database provided by Amazon Web Services (AWS) using Python & Boto3.

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  • 3 hours
  • English
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Real-World Cloud PM 3 of 3: Security, AWS Well-Architected

Real-World Cloud PM 3 of 3: Security, AWS Well-Architected

Sponsored by AMAZON WEB SERVICES (AWS). Learn real-world technical and business skills for product managers or any job family involved in the rapidly expanding cloud computing industry. Ace the AWS Certified Cloud Practitioner Exam. This course is the 3rd in a 3-course Specialization.

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  • 10 hours
  • English
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Serverless Architectures on AWS

Serverless Architectures on AWS

A modern software engineer knows how to use the benefits of managed services from Amazon Web Services to reduce the coding needed to get a project across the line. There’s a lot of code you really don’t need to write when you can use a managed service for your applications. Less code means less tests, less bugs, and quicker delivery. In this course, we get hands on with automation tools and serverless managed services. Get your projects completed faster without needing to maintain the underlying servers hosting the managed services.

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  • 11 hours
  • English
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Deploy a Web Application in AWS Elastic Kubernetes Service

Deploy a Web Application in AWS Elastic Kubernetes Service

In this one-hour project, you will learn how to use the Amazon Web Services Platform and its Kubernetes Service to deploy a Web Application in a high availability environment, using the power of containers and Kubernetes in a real-world use case.

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  • 3 hours
  • English
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Exam Prep: AWS Certified Cloud Practitioner Foundations

Exam Prep: AWS Certified Cloud Practitioner Foundations

This new foundational-level course from Amazon Web Services (AWS), is designed to help you to assess your preparedness for the AWS Certified Cloud Practitioner certification exam.

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Hosting a Static Website (HTML/CSS/Javascript) in AWS S3

Hosting a Static Website (HTML/CSS/Javascript) in AWS S3

In this one hour project, you will learn how to use Amazon Web Services S3 storage service for hosting a static website (HTML/CSS/Javascript). Many companies and individuals today need a website and most of those don't require complex databases or backends. Amazon Web Services provides a Simple Storage Service S3 Free Tier that can be also used to host a static website with no servers and no complexity.

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  • 3 hours
  • English
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Real-World Cloud Product Management

Real-World Cloud Product Management

Learn cloud product management using the same curriculum as AWS PMs! Gain insights to impress on your first (or next) cloud computing role, and prepare to successfully complete the AWS Certified Cloud Practitioner Exam. Lead instructor Nancy Wang, Director and General Manager of AWS Data Protection Services at Amazon Web Services, and Founder of Advancing Women in Tech (AWIT), teaches you the skills desired by hiring managers at the world’s top cloud providers.

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  • English
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AWS Fundamentals

AWS Fundamentals

This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.

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Real-World Product Management

Real-World Product Management

Learn product management using the same curriculum as Amazon and Google PMs! Gain insights to impress on your first (or next) product manager (PM) role. Lead instructor Nancy Wang, Director and General Manager of Data Protection Services at Amazon Web Services, and former Rubrik and Google PM leader shares the key business, technical, design, and leadership skills necessary for success at PM roles at the world’s top technology companies.

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Leadership Principles for Software Engineers

Leadership Principles for Software Engineers

Sponsored by AMAZON WEB SERVICES (AWS). Learn real-world software engineering management skills to succeed and impress in your first (or next) management role at elite engineering organizations. NANCY WANG, Director of Engineering and General Manager of AWS Data Protection Services and Founder, Advancing Women in Tech (AWIT), shares with you the engineering skills cultivated at AMAZON (the #2-ranked company in the Fortune 500), with supplemental practices from GOOGLE and MICROSOFT.

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  • 6 hours
  • English
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Expenses in ProfitBooks

Expenses in ProfitBooks

ProfitBooks is an online accounting and payroll management software for small businesses. It allows users to organize offices finances and track all activities related to their business. This free online tool allows you to manage your money without accounting knowledge, grow sales with powerful invoicing tools, track inventory with ease, and run your business with total confidence. This project will take a deeper look into the Expenses tab in Profitbooks. We will explore the functions and features Profitbooks has to offer small business owners for managing their business expenses.

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  • 3 hours
  • English
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Income Features in ProfitBooks

Income Features in ProfitBooks

By the end of this project you will be able to use ProfitBooks to manage your small business’ income. You will learn about sales orders, invoices, services, and estimates. You will be able to take a sales order from beginning to end in the system, as well as reconcile invoices attached to sales orders. As you continue through the project you will learn how to manage inventory, add services, and create estimates for customers. You will gain the fundamentals to manage income using ProfitBooks. ProfitBooks hosts your information on the secure and widely-trusted Amazon Web Services (AWS).

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  • 3 hours
  • English
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Building Cloud Computing Solutions at Scale

Building Cloud Computing Solutions at Scale

With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms. Employers agree: Cloud talent is hard to find.

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Security with AWS: Identity and Access Management (IAM)

Security with AWS: Identity and Access Management (IAM)

In the era of cloud computing, securing data and ensuring controlled access has become paramount. Just as data fuels modern businesses, IAM is the cornerstone of data protection in the cloud. In this 2-hour-long hands-on project-based course, you'll delve into the core principles of securing Amazon Web Services (AWS) resources through IAM. During this immersive journey, we'll navigate the intricate landscape of IAM, equipping you with the expertise to establish secure user access, manage permissions, and create roles for cross-account interactions.

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  • 3 hours
  • English
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MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services

MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services.

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MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production using Amazon Web Services.

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