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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:

Dan Mbanga, Business Development Manager, AWS

Time: July 26, 2017  l 11:00 - 11:40 AM Pacific Time

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Deep Learning (DL) is a subset of Machine Learning (ML) that extends the concept of Artificial Neural Networks (ANN) to uncover hidden patterns in unstructured datasets. Due to the current ubiquity of data (Big Data), and availability of on-demand, inexpensive, and parallel hardware such as Graphics Processing Units (GPUs) on Amazon EC2, Deep Learning has revitalized the excitement in Artificial Intelligence. Breakthrough results can be seen in industry applications such, computer vision, robotics, healthcare, security, retail, and more. Apache MXNet is a fully-featured, flexibly-programmable and ultra-scalable deep learning framework supporting state-of-the-art deep models including convolutional neural networks (CNNs), and long short-term memory networks (LSTMs). MXNet enables Data Scientists familiar with the R programming language to train and deploy deep models at scale, using their favorite language, with the same fast performance observed by Python, Scala or C++ ML practitioners.

You will also hear from Jared P. Lander, adjunct professor of statistics at Columbia University and the organizer of the New York Open Statistical Programming Meetup—the world’s largest R meetup—and the New York R Conference.

Participants will learn how to spin up a pre-built, GPU enabled Data Science environment using the AWS Deep Learning Amazon Machine Image (AMI), in few minutes. We will write a deep learning program with MXNet in a few lines of codes using the R programming language. We will discuss training deep learning models on one or multiple GPUs via R. Finally, we will compare deep models to some traditional Machine Learning models such as Support Vector Machines or Random Forest.

Learning Objectives:
  • Deploy a Data science environment in minutes with the AWS Deep Learning AMI
  • Getting started with Apache MXNet on R
  • Train and deploy Deep Learning models at scale with R

Who Should Attend:

  • Data Scientists practitioners, R programmers, 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:

Guy Ernest, Business Development Manager, AWS

Time: July 27, 2017  l 12:00 - 12:40 PM Pacific Time

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Amazon Polly is a service that turns text into lifelike speech, making it easy to develop applications that use high-quality speech to increase engagement and accessibility. In this tech talk, we will introduce Amazon Polly and walk through popular use cases in specific industries where Amazon Polly's natural sounding voices improve user experience and enables new ways to consume content: Education, Gaming, Content Creation and Telephony.

Learning Objectives:
  • Learn about applying conversational interfaces in applications through Amazon Polly
  • Learn about popular use cases for Amazon Polly
  • Learn how specific AWS customers have implemented Amazon Polly in different workflows

Who Should Attend:

  • Technical Decision Makers, Solution Architects, Business Development Managers, Developers

Presenter:

Mike Gualtieri, Forrester VP and Principal Analyst

Roger Barga, GM of Amazon Kinesis, AWS

Time: July 27, 2017  l 9:00 - 9:40 AM Pacific Time

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Leading organizations rely heavily on taking the right action, at the right time, every time. And these actions should be data-driven. Unfortunately, batch-oriented data processing models implemented by big data tools are insufficient because they do not make use of live data, and thus cannot support real-time decisions. To win in the marketplace, businesses need to be able to use both live and historical data, continuously and in real-time; they need streaming analytics. In this webinar, featuring Forrester VP and Principal Analyst Mike Gualtieri, we will discuss streaming analytics, its business impact, and key use cases so you can make your applications contextual and smarter, and transform your business.

Learning Objectives:
  • Understand why streaming analytics is becoming so popular now
  • Learn about key markets that use stream processing
  • Learn how you can get started quickly with streaming analytics

Who Should Attend:

  • Business Decision Makers, Technical Decision Makers, Data Warehouse Engineers, Data Engineers, Solution Architects, Data Scientists

Presenter:

Andy Katz, Senior Product Manager, AWS

Time: July 27, 2017 l 10:30 - 11:10 AM Pacific Time

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Are you building a serverless application with two or more Lambda functions? AWS Step Functions makes it easy to coordinate multiple functions and microservices as a series of steps using visual workflows. You create Step Functions state machines to specify and reliably step through the functions of your application at scale. In this deep-dive session, we will show how to use AWS CloudFormation and the AWS Serverless Application Model to deploy Step Functions state machines, AWS Lambda functions, and IAM roles and policies. We will demonstrate how Step Functions state machines orchestrate state transitions and error handling, and how state input/output works.
 
Learning Objectives:
  • Learn how to build and operate serverless applications using Step Functions state machines
  • See reference architectures, blueprints, and example use cases to get started quickly
  • Know how to integrate Step Functions with other AWS services to develop and deploy applications faster

Who Should Attend:

  • Developers, Software Engineers, DevOps Engineers, Solution Architects, IT

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There are currently no webinars in this track. Please check again later. Thank you!  

Presenter:

Steven Jones, Sr. Mgr, Solution Architecture, AWS Partner Program

Bas Kamphuis, GM, SAP, Amazon Web Services

Time: July 25, 2017 l 10:30 - 11:10 AM Pacific Time

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Leading enterprise customers are running their entire SAP landscapes, including production environments, on Amazon Web Services to accelerate business processes and efficiency. In this webinar, learn how large enterprises are innovating faster, improving operational reliability, and scaling to meet actual demand. Hear how AWS and SAP are driving continuous innovation to support customers’ most demanding SAP environments.
 
Learning Objectives:
  • Better understand the SAP and AWS 9+ year partnership
  • Optimize SAP investments through improved agility, flexibility, and reduced cost
  • Discover how AWS maintains a rapid pace of innovation to help better support evolving SAP workloads

Who Should Attend:

  • CIO, Infrastructure VP/ Director, SAP Practice Manager, Business Owner, Business Manager, department head (sales, HR, etc.)

Presenter:

Lou De La Torre, Partner Solutions, AWS

Time: July 25, 2017 l 8:30 - 10:00 AM Pacific Time

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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:

Vlad Vlasceanu, Solutions Architect, AWS

Time: July 26, 2016 | 8:30 - 10:00 AM Pacific Time

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Organizations are quickly moving database workloads like SQL Server to the cloud, but with so many options, the best approach isn’t always obvious. You exercise full control of your SQL Server workloads by running them on Amazon EC2 instances, or leverage Amazon RDS for a fully managed database experience. This session will cover best practices for running SQL Server on AWS. We will discuss how to choose between Amazon EC2 and Amazon RDS. The lab portion of this workshop will lead you through the steps to launch and configure your first Microsoft SQL Server instance on Amazon Relational Database Service (RDS) and connect it to Microsoft SQL Server Management Studio.
 
Learning Objectives:
  • Create an Amazon Relational Database Service (RDS) SQL Server instance
  • Connect to the RDS instance using Microsoft SQL Server Management Studio
  • Import data into the database

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.

There are currently no webinars in this track. Please check again later. Thank you!  

There are currently no webinars in this track. Please check again later. Thank you!  

There are currently no webinars in this track. Please check again later. Thank you!  

There are currently no webinars in this track. Please check again later. Thank you!  

There are currently no webinars in this track. Please check again later. Thank you!  

Presenter:

Justin Pirtle, Senior AWS Solutions Architect

Time: July 25, 2017 l 12:00 - 1:00 PM Pacific Time

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Securely building and deploying serverless applications requires cloud-native security best practices. In this talk, you will learn how to use AWS Lambda permissions and how to easily set up authentication and authorization for Amazon API Gateway. We will also cover how you can use Amazon Cognito for end user authentication and authorization. You'll also learn how to securely store your application secrets with AWS. This talk also discusses how to implement identity and access management best practices.

Learning Objectives:
  • Learn security best practices for AWS Lambda and Amazon API Gateway
  • Understand how to use Amazon Cognito to build identity and authentication features into serverless applications
  • Learn identity and access management best practices for serverless applications

Who Should Attend:

  • Developers, Architects, Security Engineers, and anyone interested in implementing access controls and authorization for serverless applications

There are currently no webinars in this track. Please check again later. Thank you!  

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