AWS Online Tech Talks

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.

• 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.
  

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.

• 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
  

Data lakes can consist of massive amounts of unstructured data that makes it difficult to search and explore them. You can use Amazon Elasticsearch Service to easily index and search the metadata and the content of the documents in your data lakes. In this tech talk, you will learn how to use Amazon Elasticsearch Service build a metadata repository for your data lake and index the contents of your documents so you can easily locate files by the text contained in them.

• Understand the search and visualization capabilities of Amazon Elasticsearch Service
• Learn how to set up Amazon Kinesis Firehose to ingesting, transform and load document metadata into Amazon Elasticsearch Service
• Learn best practices for building a metadata repository for your data lakes using Amazon Elasticsearch Service

Who Should Attend:

• Technical Decision Makers, Data Engineers, Big Data Developers
  

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.

• 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
  

• Create your WordPress site on Lightsail
• Migrate your WordPress site to Lightsail
• Learn best practices for running WordPress on Lightsail

Who Should Attend:

• Web Designers, Digital Agencies, WordPress Developers, anyone interested in WordPress on AWS
  

• 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
  

• Understand the use cases for migrating or replicating databases to the cloud
• Learn about the benefits of cloud-native databases for performance and costs reduction
• See how AWS Database Migration Service helps with your migration and how AWS Schema Conversion Tool makes conversions simple and quick

Who Should Attend:

• Technical Decision Makers, IT Managers, Software Developers, Database Administrators, Data Analysts
  

• 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.
  

• 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.
  

As with any other trend in the history of computer software, IoT is being powered by a new generation of cloud platforms. In this tech talk, we will identify and explain what to look for when evaluating an IoT cloud platform to ensure a successful deployment of IoT strategies. Learn what core capabilities are necessary to look for when choosing an IoT cloud platform.

• Learn what core capabilities are necessary for a successful IoT cloud platform
• Undestand how the core capabilities work together  
• Learn what and how standards are beginning to take shape  

Who Should Attend:

• Technical Decision Makers, IT Developers, Software Developers, Engineers
  

• Understand the importance of user engagement to application success for developers and marketers
• Learn how multi-channel communications can be implemented for developer and marketing campaigns
• See how user and app analytics can be used to drive campaign and app success

Who Should Attend:

• Developers, Marketers, and Business Execs
  

• 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
  

• Get an overview on Amazon Inspector
• Learn how Amazon Inspector is used in the DevOps lifecycle
• Learn how to automate security findings into your process - from finding, to ticketing, to remediation

Who Should Attend:

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

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.

• 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
  

• Review best practices for to reduce costs, protect against data loss, and increase performance in Amazon S3
• Learn about new S3 storage management features that help you align storage with business needs
  
• Understand data security capabilities available in S3 that help protect against malicious or accidental deletion or other data loss

Who Should Attend:

• Technical Decision Makers, IT Developers, Software Developers, Engineers