[Biweekly Update] AWS Online Tech Talks

AWS Monthly Webinar Series

AWS Tech Talks are a selection of live online presentations that cover a broad range of topics at varying technical levels. These webinars feature technical sessions led by AWS solutions architects and engineers, live demonstrations, customer examples, and Q&A with AWS experts.

Featured Sessions

Artificial Intelligence

Exploring the Business Use Cases for Amazon Lex: Explore several popular business use cases for Amazon Lex for the Retail, Travel & Hospitality, & Insurance industries.

Exploring the Business Use Cases for Amazon Polly: Explore several popular business use cases for Amazon Polly for the Gaming, Education, Content Creation & Telephony industries.

Exploring the Business Use Cases for Amazon Rekognition: Explore several popular business use cases for Amazon Rekognition in Media and Entertainment, Hospitality and Public Safety.

Exploring the Business Use Cases for Amazon Machine Learning: Explore several popular business use cases for Amazon Machine Learning for the Hospitality and Insurance industries.

Deep Learning for Data Scientists - Using Apache MXNet and R on AWS: Learn how to write a deep learning program with Apache MXNet on AWS in a few lines of codes using the R programming language.

An Overview of AI on the AWS Platform: Learn about all of our AI offerings on the AWS Platform.

Big Data

Migrating Big Data Workloads to Amazon EMR: Identify best practices and learn the benefits of migrating Hadoop and big data workloads to Amazon EMR and the AWS Cloud.

Intro to Amazon Redshift Spectrum - Quickly Query Exabytes of Data in S3: Learn more about Amazon Redshift Spectrum and how you can now run Redshift queries directly against your data in S3.

Real-Time Log Analytics using Amazon Kinesis and Amazon Elasticsearch Service: Learn how to ingest and deliver logs with no infrastructure using Amazon Kinesis Firehose.

Building Big Data Applications with Serverless Architectures: Learn common patterns for building big data applications quickly and easily using serverless computing.

Compute

DevOps with Visual Studio, .NET and AWS: Learn how AWS services can help .NET developers adopt DevOps.

Optimize Content Processing with Amazon EC2 Spot Instances: Learn best practices you can immediately apply to your content production and post-production workloads.

Containers

Batch Processing with Containers on AWS: Learn how to use Amazon EC2 Container Service to run batch processing jobs that scale quickly and cost-effectively.

DevOps

Introduction to AWS CodeStar - Quickly Develop, Build, and Deploy Applications on AWS: Get a hands-on demonstration of how you can use AWS CodeStar to set up an end-to-end software development and continuous delivery toolchain within minutes.

IoT

Create an IoT Gateway and Establish a Data Pipeline to AWS IoT with Intel: Learn how to create a complete Gateway-based IoT framework – from the edge to the cloud and back.

Management Tools

Automated Compliance and Governance with AWS Config and AWS CloudTrail: Learn about automating compliance and governance with AWS Config and AWS CloudTrail.

Security & Identity

Using Microsoft Active Directory across On-premises and Cloud Workloads: Learn how to use Microsoft Active Directory across on-premises and AWS Cloud Windows workloads. Get a deep dive on setting up SSO, policies, & trusts.

Serverless

Building AWS Lambda Applications with the AWS Serverless Application Model (AWS SAM): Learn how to build serverless applications with AWS Lambda and the AWS Serverless Application Model.

Storage

Deep Dive on Amazon Elastic File System: See live demos and learn tips and tricks for optimizing your file storage on Amazon EFS.

Backing up Amazon EC2 with Amazon EBS Snapshots: Learn how to back up Amazon EC2 with Amazon EBS snapshots. We'll demonstrate & teach you how to leverage snapshots to protect your applications and workloads.

Cloud Backup & Recovery Options with AWS Partner Solutions: Learn how to backup and recover on-premises and cloud data using AWS Technology Partners.

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