This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.
This course includes video presentations, demonstrations, links to resources, and knowledge checks.
In this course, you will learn how to:
•Identify the characteristics of data analysis solutions and the characteristics that indicate such a solution may be required
•Define types of data including structured, semistructured, and unstructured data
•Define data storage types such as data lakes, AWS Lake Formation, data warehouses, and the Amazon Simple Storage Service (Amazon S3)
•Analyze the characteristics of and differences in batch and stream processing
•Define how Amazon Kinesis is used to process streaming data
•Analyze the characteristics of different storage systems for source data
•Analyze the characteristics of online transaction processing (OLTP) and online analytical processing (OLAP) systems and their impact on the organization of data within these systems
•Analyze the differences of row-based and columnar data storage methods
•Define how Amazon EMR, AWS Glue, and Amazon Redshift each work to process, cleanse, and transform data within a data analysis solution
•Analyze the concept of atomicity, consistency, isolation, and durability (ACID) compliance as well as basic availability, soft state, eventual consistency (BASE) compliance and how an extract,
transform, load (ETL) process can help to ensure compliance
•Explore the concept of data schemas and understand how they define data and how this information is stored in metastores
•Analyze the concept of data versus information
•Recognize the ways to analyze data to produce information for reports using tools such as Amazon QuickSight and Amazon Athena
•Define how AWS services work together to visualize data
In this self-paced course, you will learn fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. We will address and your security responsibility in the AWS cloud and the different security-oriented services available.
In this course, you will be introduced to Amazon Web Services (AWS) Solutions. You will learn how to save time and reduce development effort by using AWS Solutions for dozens of technical and business problems.
This course includes animated videos, interactive content, knowledge checks, and a final assessment.
AWS Technical Essentials introduces you to essential AWS services and common solutions. The course covers the fundamental AWS concepts related to compute, database, storage, networking, monitoring, and security. You will start working in AWS through hands-on course experiences. The course covers the concepts necessary to increase your understanding of AWS services, so that you can make informed decisions about solutions that meet business requirements. Throughout the course, you will gain information on how to build, compare, and apply highly available, fault tolerant, scalable, and cost-effective cloud solutions.
To understand modern machine learning, you also need to understand vectors and matrices, linear algebra, probability theorems, univariate calculus, and multivariate calculus. This course, led by AWS Machine Learning Instructor Brent Werness, covers it all.
Learn to build and continuously improve machine learning models with Data Scientist Harsha Viswanath, who will cover problem formulation, exploratory data analysis, feature engineering, model training, tuning and debugging, as well as model evaluation and productionizing.
This course provides an overview of AWS security technology, use cases, benefits, and services. The course introduces various services in the AWS Security, Identity, and Compliance service category. By the end of this course, you will gain an understanding about the importance of security in the cloud and be able to identify AWS services that you can use to secure your data.
The AWS Certified Solutions Architect – Professional exam validates advanced technical skills and experience in designing distributed applications and systems on the AWS platform.
People with two or more years of hands-on experience designing and deploying cloud architecture on AWS should join this advanced full-day workshop to learn how to prepare to successfully pass the exam.
Machine learning (ML) can help you solve business problems in ways that weren’t possible before—but you’ve got to think big. Listen in as some of Amazon’s own Machine Learning Scientists discuss how to make the most of ML. We’ll cover ML terminology, business problems, use cases, and examples. By the end of this course, you’ll have a better understanding of how to think about machine learning business challenges and decisions.
In this course, we will use sample three-tiered architecture to better understand how certain network components can help you effectively network your application. We review the differences between public and private subnets and discuss how gateways and route tables can be used for network routing.
AWS Lambda is an event-driven, serverless compute service that lets you run code without provisioning or managing servers. This course focuses on what you need to start building Lambda functions and serverless applications. You learn how AWS Lambda works and how to write and configure Lambda functions. You explore deployment and testing considerations and finally end with a discussion on monitoring and troubleshooting Lambda functions.
This course includes interactive lessons, demonstrations, and knowledge checks.
This course is an introduction to AWS IoT Analytics, a fully-managed service which allows you to run sophisticated analytics on massive volumes of IoT data. In this course, we look at the key components of AWS IoT analytics, an overview of the deployment architecture, and some use cases. We also have a demo for you to see AWS IoT Analytics in action.
Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. This course introduces several AWS services that you can use to improve your current security posture. The course covers the different security design principles that will help you to plan your security approach in the AWS Cloud and provides information on resources you can use to further your knowledge around security on AWS.
The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Join this advanced-level course to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to DevOps on AWS and to specific areas to study. We will review sample exam questions in each topic area and teach you how to interpret the concepts being tested so that you can more easily eliminate incorrect responses. This course covers the core principles of the DevOps methodology.
How do you make predictions in machine learning? Naumaan Nayyar, AWS Applied Scientist, will lead you through the key points—specifically, linear models for regression, least squares error, maximum likelihood estimate, regularization, logistic regression, empirical loss minimization, and gradient-based optimization methods.
This is an introductory course to authentication and authorization with AWS Identity and Access Management (IAM). In this course, we introduce you to IAM and discuss how the service helps you manage permissions to your AWS services. We also cover policy documents and IAM identities.
This course is designed to help you “think serverless.” Learn how to combine AWS managed services including AWS Lambda and Amazon API Gateway in event-driven patterns to power scalable and secure serverless applications.
The AWS Certified Data Analytics – Specialty exam validates technical skills and experience in designing and implementation AWS services to derive value from data. This course helps you prepare for the exam by exploring the exam’s topic areas and familiarizing you with the question style and exam approach. The course reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so you can more easily eliminate incorrect responses.
This course prepares you to take the AWS Certified Machine Learning – Specialty exam, which validates your ability to design, implement, deploy, and maintain machine learning (ML) solutions.
This course will orient you to key serverless concepts to help you start developing serverless applications. You will learn how development best practices you already use in server-based development apply to serverless development, and how to adjust your development processes for serverless application development.
In this course, you will learn about the concepts of implementing a data warehouse using Amazon Redshift. You will learn about basic table design, data storage, data ingestion techniques, and workload management. You will also learn about the effect of node and cluster sizing.
Use machine learning to solve a real-life business challenge like one that the Amazon Studios team faced in the past. You’ll build, train, and test a machine learning model from the ground up—cleaning data, conducting feature engineering, comparing algorithms—and in the process, you’ll get a firsthand look at how Amazon employees who work with machine learning approach ML pipelines.
The AWS Certified Security Specialty exam validates technical skills and experience in securing and hardening workloads and architectures on the AWS platform. Attendees with two or more years of hands-on experience designing and deploying cloud architecture on AWS should join this course to learn how to prepare and succeed in the exam. We will help you prepare for the exam by exploring the exam’s topic areas and mapping them to specific areas to study. We will review sample exam questions in each topic area, teaching you how to interpret the concepts being tested so that you can better eliminate incorrect responses.
In this course, you will learn how to migrate a production database using the AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT). You will be introduced to the full database migration process, from envisioning to post-production support.
This course takes a deep dive into the strategies and best practices for architecting in the cloud using the AWS Well-Architected Framework. Learn how to measure an organization’s architecture against best practices using the AWS Well-Architected Tool, and then improve the architecture by addressing issues identified.
This course takes a deep dive into the strategies and best practices for architecting in the cloud using the AWS Well-Architected Framework specifically focusing on the security pillar. Learn how to measure an organization’s architecture against best practices using the AWS Well-Architected Tool, and learn about some of the questions regarding the pillar and how to evaluate your architectures against them.
This course introduces you to Amazon S3 Block Public Access. Amazon S3 Block Public Access enables you to set up centralized controls to limit public access to your Amazon S3 resources helping you secure your data stored in Amazon S3.
This digital course provides an in-depth and hands-on introduction to Amazon DynamoDB and how it is leveraged in building a serverless architecture. The course talks about core DynamoDB components and how-to setup and access them in creating a serverless application. You will also learn about several DynamoDB features, best practices and how this NoSQL service is beneficial in comparison to SQL solutions.
This course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS. This course provides an introduction to AWS Batch, explains the main components of the service, and reviews a few examples of batch processing architectures.
This course is for individuals who seek knowledge of networking on Amazon Web Services (AWS) beyond the foundational level. You will learn about various connectivity options, including how to choose the best way to create a secure, scalable, and highly available network. You will analyze complex network design patterns and learn best practices that are ideal for your organization.
An introduction to how AWS Security Token Service, or STS, is used to generate temporary security credentials to access AWS resources. A demonstration of the service in action is included, along with several use cases and service benefits.
If you’re a business leader, machine learning can help your teams maximize project results and gain critical insight into your business or customer needs. Learn how in this course.
In this course, we will address questions like “How does moving to cloud affect me as a network architect/engineer? Is there a place for my skills in the cloud? If there is a place for me, what will I do differently in the cloud? Are there any cool things I can do in the cloud, but can’t do off-cloud?”.
This course introduces Amazon API Gateway and teaches you the basics of how to create and deploy APIs. You will learn about options for managing and metering access to your APIs and integrating them with AWS Lambda.
Technology has changed, and legacy commercial databases haven’t changed to keep up with it. The cloud has accelerated how you build and manage your applications and infrastructure. The elasticity of the cloud means you can build faster, more resilient applications. It also means that you don’t need to be locked-in to restrictive annual contracts.
Learn about the foundations of getting started in the AWS Cloud. In this course, you learn about the AWS Cloud architecture and the services in the Compute, Storage, Database, Networking, and Security categories. This course can help you can build and validate an overall understanding of the AWS Cloud, key terminology, and help advance your AWS Cloud skills.
AWS Client VPN provides access to AWS resources in an on-premises network from any location. With global requirements for work from home, connecting and staying connected is important. This course contains two independent lessons:
• The first provides a step-by-step guide for setting Client VPN as an administrator using the AWS Console and the command line interface (CLI).
• The second provides step-by-step instructions for client users for downloading and launching VPN from their personal hardware.
The AWS Certified Database – Specialty exam validates technical skills and experience in designing, deploying, and managing AWS database services. This course helps you prepare for the exam by exploring the exam’s topic areas and familiarizing you with the question style and exam approach. The course reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so you can more easily eliminate incorrect responses.