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

The sessions below are categorized. You can click on the "learn more" drop down arrow to view the detailed description of each session.

Presenter:

Asif Khan, Solutions Architect, AWS

Time: Sept 26, 2017 l 9:00 - 9:40 AM PT

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AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning. For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud.

Learning Objectives:

  • Learn about the breadth of AI services available on the AWS Cloud.
  • Gain insight into Amazon Lex, Amazon Polly, and Amazon Rekognition.
  • Learn more about why Apache MXNet is the deep learning framework of choice for AWS.

Who Should Attend:

Data Scientists practitioners, Machine Learning practitioners, Deep Learning practitioners, Data Science students, Managers and Executives interested in deploying deep learning environments, anyone in a related field willing to know more about deep learning.

Presenter:

Sunil Mallya & Yash Pant, Solutions Architects, AWS

Time: Sept 26, 2017 l 10:30 - 11:10 AM PT

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GANs are a type of deep neural network that allow us to generate data. In this webinar, we’ll take a look at the concept and theory behind GANs, which can be used to train neural nets with data that is generated by the network. We’ll explore the GAN framework along with its components -- generator and discriminator networks. We’ll then learn how to use Apache MXNet on AWS using the popular MNIST dataset, which contains images of handwritten numbers. In the end, we’ll create a GAN model that is able to generate similar images of handwritten numbers from our test dataset.
 
Learning Objectives:
  • Learn about the benefits of using the Apache MXNet framework for deep learning
  • Learn about Generative Adversarial Networks for data generation
  • Learn how to use Apache MXNet on AWS with the MNIST dataset

Who Should Attend:

  • AI developers, non-AI developers, data scientists, IT practitioners

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Presenter:

Nathan Thomas, GM, Amazon WorkSpaces

Time: Sept 26, 2017 l 2:00 - 2:40 PM PT

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End-user security is a constant challenge for IT leaders who must balance the business needs of BYOD, distributed workforce, and ready access to business resources, against protecting those same resources from hackers and malware. Amazon WorkSpaces provides a more secure environment over conventional desktop infrastructure because data and applications reside in the cloud, is encrypted during I/O, at rest, and in snapshots, and is not located on end-user devices. In this tech talk we will discuss how you can better secure your IT infrastructure, intellectual property, and sensitive information, and provide recommendations for best practices to help you protect your desktop computing devices using a managed Desktop-as-a-Service (DaaS) solution.
 
Learning Objectives:
  • Learn the benefits of using virtual, cloud-based Microsoft Windows desktops.
  • Review the security benefits DaaS provides for both IT and end-users.
  • Discuss best practices for migrating to virtual cloud-based desktops. 

Who Should Attend:

  • Business Decision Makers, Technical Decision Makers, IT VPs, Directors and Managers

Presenter:

Lou De La Torre, Partner Solutions, AWS

Time: Sept 27, 2017 l 12:30 - 2:00 PM PT

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AWS helps you build, deploy, scale, and manage Microsoft applications quickly, easily, more securely, and more cost-effectively. This Hands on Lab workshop will give you everything you need to get started deploying Windows Workloads on AWS, starting with creating and securing a new EC2 Windows instance.
 
Learning Objectives:
  • Securing network access to Amazon EC2 Instances with Security Groups
  • Launch and configure a Windows virtual machine
  • Bootstrapping using Powershell Creating Key Pairs for authentication  

Who Should Attend:

  • IT professionals who want to take advantage of the benefits of cloud computing to run development and test workloads, Microsoft SQL Server databases, web hosting services, traditional workloads such as Microsoft Exchange, Lync, SharePoint, and Dynamics.  

Presenter:

Craig Williams, Solutions Architect, AWS

Time: Sept 28, 2017 l 10:30 - 11:10 AM

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Learn how the technology behind AWS Greengrass works and how it fits into your IoT strategy. Let us guide you through all the technical aspects and requirements for getting AWS Greengrass setup and provide details on how to incorporate other key services such as AWS IoT, AWS Lambda, and Amazon API Gateway. The tech talk will walk through our LoRa Nano Gateway demo with AWS IoT and AWS Greengrass to see these services in action.
 
Learning Objectives:
  • Learn how to use AWS Greengrass with AWS IoT, AWS Lambda, and Amazon API Gateway
  • Demonstrate LoRA Nano Gateway
  • Learn technical requirements to setup AWS Greengrass

Who Should Attend:

  • Developers, Makers

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Presenter:

Sergey Royt, Software Development Manager, Route 53
 

Time: Sept 27, 2017 l 9:00 - 9:40 AM PT

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Dynamically managing routing and traffic to multiple network resources, such as web servers, app servers, and load balancers across multiple locations is challenging. Amazon Route 53 Traffic Flow provides a visual editor that helps you quickly create sophisticated trees that route traffic to the best endpoint for your application based on latency, health, and other considerations. The tech talk will explain how to use Traffic Flow to solve routing and traffic management use cases like disaster recovery, blue/green deployments, and A/B testing.
 
Learning Objectives:
  • Disaster Recovery using Traffic Flow
  • Blue Green deployment and A/B testing using Traffic Flow
  • Dynamic traffic shifting using Traffic Flow

Who Should Attend:

  • Network Engineers, IT Managers, IT Architects, Software Developers, System Analysts

Presenter:

Sundar Jayashekar, Senior Product Manager, AWS
Jeff Lyons, Manager, DDoS Ops Engineering  

Time: Sept 28, 2017 l 9:00 - 9:40 AM PT

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The Open Web Application Security Project (OWASP) Top 10 identifies the most critical risks that web developers must address in their applications. AWS WAF, a web application firewall, helps you address the vulnerabilities identified by the OWASP Top 10. In this webinar, you will learn how to use AWS WAF to write rules to match common patterns of exploitation and block malicious requests from reaching your web servers.
 
Learning Objectives:
  • Learn how to secure your web applications
  • Learn how to configure AWS Shield and AWS WAF
  • Learn how to defend the most common Layer 7 attacks

Who Should Attend:

  • Security Professionals, Developers, QA Engineers, Security Assessment / Certification Engineers, System Administrators

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Presenter:

Everett Dolgner, Business Development Manager, AWS
 

Time: Sept 26, 2017 l 12:00 - 12:40 PM PT

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Backup to the cloud is one of the easiest-to-implement use cases for cloud storage. Amazon S3 provides a robust feature set that make it much easier for you to eliminate tape backup, reduce storage costs, and meet all of your compliance needs.

In this webinar, we'll talk about different ways to get your backup data to the cloud using ISV integration, AWS Storage Gateway VTL, AWS Snowball, and more. Then, we'll examine AWS features like S3 Analytics - Storage Class Analysis for cost optimization, S3 object tagging for more flexible security and lifecycle management, and a number of other features for monitoring, alerting, and data security. Finally, we'll discuss ways to meet common compliance requirements including WORM (using Amazon Glacier Vault Lock), PCI-DSS, HIPAA/HITECH, FedRAMP, SEC Rule 17-a-4, EU Data Protection Directive, FISMA, and many more for virtually every agency around the globe.
 
Learning Objectives:
  • Understand the different data transfer methods available and how they apply to different situations.
  • Learn about storage management capabilities available in Amazon S3 & Amazon Glacier to help balance total cost of ownership with recovery point and recovery time objectives.
  • Learn about different security and compliance options available in Amazon S3 & Amazon Glacier.

Who Should Attend:

  • IT Directors, Storage Administrators, IT Administrators  

Presenter:

Edward Naim, Product Head, AWS
David Green, Enterprise Solutions Architect, AWS

Time: Sept 27, 2017 l 10:30 - 11:10 AM PT

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The vast majority of applications and workloads interact with data storage via a file system interface and require file system semantics. As businesses move to the cloud they require storage resources that integrates with their existing applications and tools. In this technical session, we will explore file storage with Amazon Elastic File System (Amazon EFS) and its targeted use cases. Attendees will learn about the Amazon EFS features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in our most common use cases and will share tips for success throughout.
 
Learning Objectives:
  • Recognize why and when to use Amazon EFS and the economic benefits versus other solutions
  • Understand key technical, performance, and security concepts
  • See Amazon EFS in action with live demo

Who Should Attend:

  • Application owners who operate or build file-based applications, and application developers

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