Detect Anomalies in Game Transactions with ML and Sagemaker
Game studios that are building and operating multiple games tend to redo much of the server-side validation of transactional data received from game clients. This course covers the use of a central model (or multiple models per game) for offloading server processing and improving server response time. The course reviews the different anomalies associated with game transaction data and how machine learning (ML) can help perform validations. Course objectives: This course is designed to teach you how to: •Understand game transactions and associated data •Recognize anomalies in game transactions •Review example game report data •Understand machine learning architecture for performing validations Intended audience: This course is intended for: •Game developers •Data analysts who work with game transactions Prerequisites: We recommend that attendees of this course have: •Understanding of basic gaming concepts •Basic understanding of machine learning Course outline:: •Game transactions •Anomalies •Game report data •How can ML help •Demo
Introduction to Amazon Elastic Load Balancer – Classic
This course is a high-level overview of the Classic version of the Amazon Elastic Load Balancer (ELB). We will discuss advantages like traffic distribution and monitoring when using Amazon ELB within your virtual private cloud, and we’ll cover several use cases. We’ll also demonstrate how to configure an Amazon ELB.
Introduction to Amazon API Gateway
Amazon API Gateway is a fully managed service that makes it easy for you to create, publish, maintain, monitor, and secure APIs at any scale. This course will introduce you to this service and walk you through several use cases and important features offered with Amazon API Gateway. The course will also include a demonstration of how to define a resource and methods on that resource, and how to deploy the resource to an Amazon API Gateway stage.
AWS Foundations: How Amazon SageMaker Can Help
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker features. • Course level: Fundamental • Delivery method: Digital training • Duration: 30 minutes Course objectives: In this course, you will learn to: • Describe where Amazon SageMaker fit into the machine learning pipeline • Describe Amazon SageMaker data formats • Use Amazon Sagemaker to train, evaluate, and automatically tune a model Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers Prerequisites: We recommend that attendees of this course have: • Basic understanding of the machine learning pipeline
Twitch Series: AWS Power Hour Amazon Personalize
Course description: In this course, you learn about Amazon Personalize, which enables you to improve customer engagement and conversion by powering real-time personalized product and content recommendations, and targeted marketing promotions. Included are demonstrations using a mock retail store in order to understand how developers can use Amazon Personalize to create individualized recommendations for their users. • Course Level: Fundamental • Delivery Method: Digital training • Duration: 1 Hour 5 Minutes Course objectives: In this course, you will learn to: • Explain Amazon Personalize Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers • Anyone who wants to learn about Amazon Personalize Prerequisites: We recommend that attendees of this course have: • Basic understanding of the AWS Cloud infrastructure Course outline: • Introduction to Amazon Personalize • Use cases • Console walk-through • Demonstration on Amazon Personalize
Twitch Series: AWS Power Hour Amazon Connect & Amazon Lex
In this course, you learn about Amazon Connect and Amazon Lex. Amazon Connect is an easy to use, omnichannel cloud contact center that helps companies provide superior customer service at a lower cost. After a quick introduction, you learn how to leverage the service along with Amazon Lex to facilitate customer chat interaction with an agent. Included in this course are demonstrations that integrate multiple AWS artificial intelligence (AI) services all in one solution: Amazon Connect, Amazon Lex, Amazon Comprehend, and Amazon Kendra. • Course Level: Fundamental • Delivery Method: Digital training • Duration: 1 Hour 10 Minutes Course objectives: In this course, you will learn to: • Explain Amazon Connect • Explain Amazon Lex Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers • Anyone who wants to learn about machine learning Prerequisites: We recommend that attendees of this course have: • Basic understanding of the AWS Cloud infrastructure Course outline: • Introduction to Amazon Connect • Introduction to Amazon Lex • Demonstrations on multiple AI Services
Twitch Series: AWS Power Hour Amazon Kendra
In this course, you’ll dig into Amazon Kendra, a highly accurate and easy to use enterprise search service that’s powered by machine learning (ML). Included are demonstrations on Amazon Kendra and CORD-19 Search, an ML-powered solution developed by AWS to help researchers quickly and easily use natural language questions to search the fast-growing body of coronavirus literature to efficiently find relevant and up-to-date information. • Course Level: Fundamental • Delivery Method: Digital training • Duration: 1 Hour 5 Minutes Course objectives: In this course, you will learn to: • Explain Amazon Kendra Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers • Anyone who wants to learn about Amazon Kendra Prerequisites: We recommend that attendees of this course have: • Basic understanding of the AWS Cloud infrastructure Course outline: • Introduction to Amazon Kendra • Console Demonstration • Walk-through of a Real-Life Solution
Twitch Series: AWS Power Hour Amazon CodeGuru
In this course, you’ll learn about Amazon CodeGuru, a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. You get a quick overview of Amazon CodeGuru and then deep dive into some of the most important features. • Course Level: Fundamental • Delivery Method: Digital training • Duration: 1 Hour 5 Minutes Course objectives: In this course, you will learn to: • Explain Amazon CodeGuru Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers • Anyone who wants to learn about Amazon CodeGuru Prerequisites: We recommend that attendees of this course have: • Basic understanding of the AWS Cloud infrastructure Course outline: • Introduction to Amazon CodeGuru • Profile Introduction and Demonstration • Reviewer Introduction and Demonstration
Twitch Series: AWS Power Hour Amazon Comprehend
In this course, you get an overview of Amazon Comprehend, a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Through demonstrations, you spend some time in the AWS Management Console and see the service in action, with a focus on features like key phrase extraction, sentiment analysis, and entity recognition. • Course Level: Fundamental • Delivery Method: Digital training • Duration: 1 Hour 5 Minutes Course objectives: In this course, you will learn to: • Explain Amazon Comprehend Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers • Anyone who wants to learn about Amazon Comprehend Prerequisites: We recommend that attendees of this course have: • Basic understanding of the AWS Cloud infrastructure Course outline: • Introduction to Amazon Comprehend • Demonstrations on Amazon Comprehend
Twitch Series: AWS Power Hour Amazon Textract
Take a dive into Amazon Textract, the AWS artificial intelligence (AI) service that allows you to easily extract text and data from virtually any document. In this course, you’ll get an introduction to Amazon Textract plus a few demonstrations on the AWS Management Console and reviewing code samples that will help you understand how to leverage the service APIs. • Course Level: Fundamental • Delivery Method: Digital training • Duration: 1 Hour 5 Minutes Course objectives: In this course, you will learn to: • Explain Amazon Textract Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers • Anyone who wants to learn about machine learning and Amazon Textract Prerequisites: We recommend that attendees of this course have: • Basic understanding of the AWS Cloud infrastructure Course outline: • Introduction to Amazon Textract • Demonstrations on Amazon Textract
Twitch Series: AWS Power Hour Introduction to Machine Learning for Developers
Want to get an introduction to machine learning? In this course, you learn the foundations of machine learning and get a practical perspective on what developers really need to know to get started with machine learning. You also learn how you can leverage the power of machine learning and deep learning to make your applications more intelligent. • Course Level: Fundamental • Delivery Method: Digital training • Duration: 1 Hour 5 Minutes Course objectives: In this course, you will learn to: • Explain machine learning Intended audience: This course is intended for: • Developers • Solution Architects • Data Engineers • Anyone who wants to learn about machine learning Prerequisites: We recommend that attendees of this course have: • Basic understanding of the AWS Cloud infrastructure Course outline: • Introduction to machine learning • Use cases • Summary of machine learning and artificial intelligence services on AWS • Demonstrations on Amazon Lex and Amazon Comprehend
Machine Learning in the Cloud with AWS Batch
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. Duration: 20 Minutes Course objectives: This course is designed to teach you how to: • Describe the main components of AWS Batch and how they function • Identify various batch processing dependency models • Describe the steps in a typical batch processing workflow Intended audience: This course is intended for: • Developers, scientists, and engineers who need to run batch computing jobs • Solutions architects who are designing batch computing workflows Prerequisites: We recommend that attendees of this course have: • Understanding of batch computing concepts • Experience using AWS compute resources, including Amazon Elastic Compute Cloud (Amazon EC2) Enroll now: www.aws.training  Course outline: • Compute instance types and storage options • Overview of AWS Batch • AWS Batch components • Job dependency models • Integration with other AWS services • Example batch processing architectures
