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

Check out our upcoming schedule below. We refresh it regularly, so come back to see what we're talking about.

Level 200 | Service How To

Learn how to use Amazon EC2 P3 instances, the most powerful, cost effective and versatile GPU compute instances available in the cloud.

Speaker(s): Chetan Kapoor, Sr. Product Manager, AWS

July 31, 2018

11:00 AM - 12:00 PM PT

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Organizations are tackling exponentially complex questions across advanced scientific, energy, high tech, and medical fields. Machine learning (ML) makes it possible to quickly explore the multitude of scenarios and generate the best answers, ranging from image, video, and speech recognition to autonomous vehicle systems and weather prediction. For data scientists, researchers, and developers who want to speed up development of their ML applications, Amazon EC2 P3 instances are the most powerful, cost effective and versatile GPU compute instances available in the cloud.

Learning Objectives:

  • Introduce customers and prospects to the features of Amazon EC2 P3 instances
  • Understand the benefits of using Amazon EC2 P3 instances
  • Learn how Amazon EC2 P3 instances are being used by customers

Who Should Attend:

  • Data Scientists, Researchers, Developers, Machine Learning Engineers

Level 300 | Service Deep Dive

Learn how to launch workloads across instance types, purchase models, and AZs with EC2 Fleet to achieve the desired scale, performance and cost.

Speaker(s): Boyd Mcgeachie, Sr. Product Manager, AWS; Chad Schmutzer, Sr. EC2 Spot Specialist SA, AWS

August 1, 2018

9:00 AM - 10:00 AM PT

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Amazon EC2 Fleet simplifies the provisioning of EC2 capacity across different instance types, Availability Zones and across On-Demand, RIs and Spot purchase models. Learn how you can launch workloads across different instance types, purchase models, and AZs, with a single API call, to optimize scale, performance, and cost. In this session, we will walk you through few key use cases, a demo of the EC2 Fleet feature, and a few customer examples.

Learning Objectives:

  • Reduce Costs: By making it easier to provision infrastructure and combine both Spot and On-Demand in a single application, you can run workloads at the lowest possible cost
  • Increase Operational Efficiencies: EC2 fleet allows you to use multiple instance types and purchase models in a single app to provision capacity rapidly at the lowest price, without having to build code with different APIs
  • Learn about a few customer examples and how to leverage the full scale of the AWS cloud with EC2 Fleet for faster results

Who Should Attend:

  • Engineers, Developers, IT Personnel, DevOps and Cloud Architects looking to scale workloads in the cloud for less

Level 200 | Customer Showcase

Learn how Harry's migrated their messaging workload to Fargate and reduced message processing time by more than 75%.

Speaker(s): Anuneet Kumar, Sr. Product Marketing Manager, AWS; Bryce Lohr, Senior Data Engineer, Harry's

July 25, 2018

11:00 AM - 11:45 AM PT

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Harry's migrated their messaging workload to AWS Fargate to eliminate the responsibility of maintenance of their compute infrastructure. In this tech talk, learn how Harry’s used the seamless integration of Fargate with other AWS services such as CloudFormation, Auto Scaling, and ALB to manage their traffic spikes and reduce their message processing time by more than 75%.

Learning Objectives:

  • Learn how Harry's uses AWS to simplify infrastructure operations
  • Learn how AWS Fargate makes it simple to run containers
  • Learn how to use AWS services like CloudFormation, Auto Scaling, and Load Balancing with AWS Fargate

Who Should Attend:

  • Developers, DevOps, Operations Managers

Level 200 | Use Case How To

Learn about purpose-built databases and when to use which database for your application.

Speaker(s): Joseph Idziorek, Senior Product Manager, AWS

July 23, 2018

1:00 PM - 1:45 PM PT

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Developers building modern applications need purpose-built databases, so they have the freedom to choose the right database for the right job. AWS offers purpose-built relational, key-value, document, in-memory, graph, and search databases so you can select the best database based on the application workload, not the other way around. Attend this tech talk to learn why you should pick different database services to address specific application issues and watch a demonstration about which application use cases lend themselves well to which database services.

Learning Objectives:

  • Learn about purpose-built databases and when to use which database
  • Get an overview of the AWS family of purpose-built relational, key-value, document, in-memory, graph, and search databases
  • See a demonstration about which application use cases lend themselves well to which database services

Who Should Attend:

  • Developers, DBAs, Enterprise Architects, DevOps roles, IT Leaders

Level 200 | Service How To

Learn how to migrate your IBM Db2 database to the cloud database of your choice.

Speaker(s): Abhinav Singh, DMS Support Engineer, AWS

July 24, 2018

11:00 AM - 11:45 AM PT

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IBM Db2 databases have been embedded inside many organizations for decades, and migrating them to the cloud can be difficult. In this session, you’ll learn about the recently announced support for Db2 LUW sources in the AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT). You’ll see how DMS and SCT can help you migrate your data and procedural code to the database of your choice, and give an overview of popular migration targets on AWS.

Learning Objectives:

  • Learn how to migrate your IBM Db2 database to AWS
  • Learn how to convert your IBM Db2 schema to the database of your choice
  • Learn which database migration targets are available on AWS

Who Should Attend:

  • IT Managers, Database Administrators, Software Developers

Level 300 | Service Deep Dive

Learn how to do large scale machine learning on Amazon EMR.

Speaker(s): Tom Zeng, Amazon EMR Solutions Architect, AWS

July 23, 2018

11:00 AM - 12:00 PM PT

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Building machine learning models on large amounts of data is challenging and so is applying trained models on big data. By using Spark, MXNet, TensorFlow, and other frameworks on EMR, customers can build ML models using distributed training on large amount of data and perform distributed inference. In this tech talk, we will on how to use Spark and ML/DL frameworks such as SparkML, TensorFlow, and MXNet.

Learning Objectives:

  • Learn how Amazon EMR can be used for distributed training and inference on big data
  • Learn how to do distributed training and inference on Amazon EMR using popular ML/DL frameworks
  • Learn how to deploy machine learning models on Amazon EMR for large scale distributed inference

Who Should Attend:

  • Anyone interested in Amazon EMR

Level 200 | Service Intro

Get an introduction to Amazon Quicksight, Amazon's BI service.

Speaker(s): Quinton Alsbury, Product Management Leader, AWS

July 25, 2018

1:00 PM - 2:00 PM PT

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The volume of data businesses create and process is growing every day. To get the most value out of this data, companies often invest in traditional BI tools. However, these tools require investments in costly on-premises hardware and software. It takes weeks or months of data engineering time to build complex data models; not to mention the additional infrastructure needed to maintain fast query performance as data sets grow. In a nutshell, traditional BI tools are expensive and complex, and prevent companies from making analytics ubiquitous among business users. Amazon QuickSight is built from the ground up to solve these problems by bringing the scale and flexibility of the AWS Cloud and by providing a business user focused experience to business analytics. QuickSight is also the first BI service to offer pay-per-session pricing, making it even more cost-effective for you to provide access to analytics and insights for all of your users. With pay-per-session pricing there are no upfront costs, no annual commitments, and no charges for inactive users.

Learning Objectives:

  • Learn about QuickSight, Amazon's BI service
  • Learn how the new QuickSight pay-per-session pricing is designed to save you even more money
  • Learn how you can do BI completely in the cloud with nothing to install or deploy

Who Should Attend:

  • IT Professionals, Business Analysts, Analysts, Data Scientists, Decision Makers

Level 300 | Solutions Best Practices

Discover how to make an Amazon EMR cluster multi-tenant to have different processing activities on the same data lake.

Speaker(s): Radhika Ravirala, Sr. Specialist Solutions Architect, AWS

July 26, 2018

11:00 AM - 12:00 PM PT

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One of the benefits of having a Data Lake is that a same data set can be consumed by multiple groups and users for different processing activities from a single computation engine - a true multi-tenant environment. Today, multi-tenant environments are preferred by many customers (especially those in highly regulated industries) as a means to achieve the balance between security and flexibility. In this tech talk, learn about best practices and dive deep into how to make an Amazon EMR cluster multi-tenant for analytics.

Learning Objectives:

  • Discover how to make an Amazon EMR cluster multi-tenant for analytics
  • Learn best practices on achieving isolation
  • Learn about migration strategies for common challenges in building multi-tenant analytics pipelines

Who Should Attend:

  • EMR Professionals, and anyone considering AWS for data lakes

Level 200 | Service Deep Dive

Learn how to optimize your Jenkins build farm using the plug-in for AWS CodeBuild.

Speaker(s): Nick Brandaleone, Solutions Architect, AWS

June 28, 2018

1:00 PM - 1:45 PM PT

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Companies often have engineers dedicated to managing their Jenkins build environments but often we see developers spending time maintaining the underlying infrastructure instead of writing code. There are a number of plugins in the Jenkins ecosystem that can assist with reducing the overhead of your build farms. Unfortunately, these options often introduce additional complexity because they rely on other computing orchestration platforms such as Swarm, Mesos, or even AWS' ECS container platform. There has to be a simpler way. This session will show you how to integrate AWS Codebuild with Jenkins to remove the overhead in creating, managing, and scaling your build farms.

Learning Objectives:

  • Learn how AWS CodeBuild simplifies the management of your Jenkins Build Farms
  • Learn how to create a Jenkins pipeline with AWS CodeCommit and AWS CodeBuild
  • Learn how other AWS customers have integrated CodeBuild and Jenkins into their pipelines

Who Should Attend:

  • Technical/Architects

Level 300 | Deep Dive  

Learn how VMware Cloud on AWS seamlessly integrates with native AWS services.

Speaker(s): Samir Kadoo, Partner Solutions Architect, AWS

July 19, 2018

10:00 AM - 11:00 AM PT

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Many organizations struggle to efficiently migrate to the cloud because of challenges with learning and adopting new tools, skills, and processes. They also need to find a way to continue to leverage their existing IT investments. VMware Cloud on AWS is a seamlessly integrated hybrid cloud service that can help your company overcome these challenges. It enables you to run business-critical applications — without having to re-architect or convert them — across VMware vSphere-based workloads either on-premises or on AWS.

Join our upcoming webinar to learn how VMware Cloud on AWS helps simplify and accelerate the migration process. Not only will you see demos of different cloud migration scenarios in action, but you will also hear about customers' cloud migration experience with VMware Cloud on AWS.

Learning Objectives:

  • How VMware Cloud on AWS enables bi-directional migration at scale
  • How you can migrate applications with no re-architecture or conversions
  • How VMware Cloud on AWS seamlessly integrates with native AWS services
  • How off-the-shelf enterprise applications from Oracle, Microsoft, and SAP are supported by VMware Cloud on AWS

Who Should Attend:

  • Technical Decision Maker, Business Decision Maker, Solutions Architect, System Integrator

Level 300 | What's New / Cloud Innovation

Learn how your development teams can be more productive with Amazon Linux WorkSpaces.

Speaker(s): Hassan TA, Sr. Product Manager, AWS; Justin Bradley, Sr. EUC Specialized SA, AWS

July 31, 2018

9:00 AM - 9:45 AM PT

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Developers today still spend too much time provisioning the resources they need to write code. By using Amazon Linux WorkSpaces, developers can quickly spin up a workstation in the cloud for the development environment of their choice. In this tech talk, we will discuss how developers can use the recently announced Amazon Linux Workspaces service to spend less time worrying about their development desktop and more time worrying about their code. We'll discuss how developers can get started with Amazon Linux WorkSpaces and cover best practices for getting the most out of a cloud-based development desktop.

Learning Objectives:

  • How developers can use Amazon Linux WorkSpaces in conjunction with other AWS developer tools to be more productive
  • How to get started with Amazon Linux WorkSpaces
  • Learn about new innovations from the Amazon Linux WorkSpaces team for developers to build faster

Who Should Attend:

  • Developers, IT Decision Makers

Level 200 | Thought Leadership

Innovation doesn't have to equate to more risk for your organization. Learn how Enterprise DevOps delivers agility while maintaining governance, security and compliance.

Speaker(s): Mark Schwartz, Enterprise Strategist, AWS

August 1, 2018

11:00 AM - 11:45 AM PT

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DevOps enables rapid innovation but enterprises struggle to implement DevOps at scale because of the lack of governance, security and compliance. Enterprise DevOps is a new way to implement DevOps that enables change management and governance without restricting rapid innovation and automation. In this tech talk we'll outline common problems faced by enterprises implementing DevOps, examine how ITIL and DevOps can work together, examine learnings from real enterprises practicing Enterprise DevOps and share actionable tips for getting started in your organization.

Learning Objectives:

  • Learn how the cloud makes implementing ITIL easier than ever before
  • Learn how following the "spirit of the law" versus the "letter of the law" can help ITIL support rapid innovation
  • See real-life examples of Enterprise DevOps in action on the AWS platform that you can apply in your organization

Who Should Attend:

  • Managers, Directors, VPs and C-Levels from Enterprise Organizations

Level 200 | Best Practices Solutions

Hear how AWS IoT services can help you extract value from your intelligent devices.

Speaker(s): Joseph Zolaker, Global Segment Leader, IoT

July 24, 2018

10:00 AM - 11:00 AM PT

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In this upcoming panel discussion, AWS will join APN IoT Competency Partners, Bsquare (device management software and services), Eseye (global cellular connectivity), and Intel (edge-to-cloud IoT platform spanning sensors, processors, IoT gateways), and cloud infrastructure, for a conversation about the challenges and opportunities of device management. Find out how enterprises can accelerate time to business value with an integrated and fully-managed approach to their connected devices.

Learning Objectives:

  • Best practices for successfully connecting, securing, and supporting large-scale IoT device deployments, whether you’re adding intelligence to existing devices or building a new deployment from the ground up.
  • Why a full life-cycle device management strategy is vital to realizing benefits from connected business systems, including greater productivity, process automation, and cost savings.
  • How AWS IoT services (AWS IoT Core, AWS IoT Device Management, Amazon FreeRTOS, and AWS IoT Device Defender) can help you extract value from your intelligent devices.
  • How Bsquare integrates services from AWS with cellular connectivity providers like Eseye, and edge technology companies like Intel, to deliver end-to-end device management solutions.

Who Should Attend:

  • CIOs, COOs, CXOs, CTOs, line of business executives (LOBs), directors of product management, directors of product development, directors of engineering, IT directors, solutions architects, system integrators

Level 300 | Hands On Workshop

Hands-on session that covers how to build a simple backend service using AWS IoT to support an Alexa Smart Home skill.

Speaker(s): Mike Maas, Sr. Evangelist, Alexa; Olawale Oladehin, Sr. IoT Specialist

July 30, 2018

1:00 PM - 1:45 PM PT

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Voice is a natural interface to interact not just with the world around us, but also with physical assets and things, such as connected home devices including lights, thermostats, or TVs. In this tech talk, we are going to show how you can connect and control any device using the Amazon Web Services IoT platform and Alexa Skills Kit. This technical, hands-on session covers how to build a simple backend service using AWS IoT to support an Alexa Smart Home skill. Session participants would build not only an Alexa Smart Home skill but the virtualized backend in AWS IoT to support physical devices. This is a hands-on session and a basic familiarity with Python and AWS services is required.

Learning Objectives:

  • How AWS IoT can support an endpoint backend for Alexa Smart Home
  • How to build an Alexa Smart Home skill that uses AWS IoT via an AWS Lambda function
  • Tips, tricks, and troubleshooting callouts for integrating an Alexa Smart Home skill with AWS IoT

Who Should Attend:

  • IoT Developers, Connected Home Developers, Device Manufacturers, Cloud Solution Architects

Level 300 | Use Case How To

See how customers are using computer vision and language AI services to enhance content discovery & recommendations.

Speaker(s): Kashif Imran, Sr. Solutions Architect, AWS

July 23, 2018

9:00 PM - 9:45 AM PT

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The proliferation of digital content has consumers frustrated and unnecessarily struggling to find what they want. And with user experience at the forefront, content providers, media distributors, and tech companies are being forced to improve content discovery and personalization. In this tech talk, you’ll learn how to build your applications to deliver more relevant content by using extracted metadata. Amazon Comprehend, Transcribe, and Rekognition can organize and categorize documents, images, and videos to enhance content discovery and personalize content recommendations. We have also invited a customer to share how they used the ML services on user generated videos to create Dynamic Audience Personas to significantly improve targeting efforts for Facebook ads.

Learning Objectives:

  • Learn how Amazon ML language services provide useful metadata that can be leveraged in ad targeting
  • Learn how Amazon Rekognition automatically extracts metadata to enrich Dynamic Audience Personas
  • Learn how to integrate these easy-to-use, API services into your applications to deliver more relevant content for customers

Who Should Attend:

  • Anyone interested in machine learning and artificial intelligence

Level 300 | Service Deep Dive

Learn how to use Automatic Model Tuning with Amazon SageMaker to get the best machine learning model for your datasets, to tune hyperparameters.

Speaker(s): Leo Dirac, Principal Engineer, AWS

July 24, 2018

9:00 AM - 9:45 AM PT

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Learn how to use Automatic Model Tuning with Amazon SageMaker to get the best machine learning model for your dataset. Training machine models requires choosing seemingly arbitrary hyperparameters like learning rate and regularization to control the learning algorithm. Traditionally, finding the best values for the hyperparameters requires manual trial-and-error experimentation. Amazon SageMaker makes it easy to get the best possible outcomes for your machine learning models by providing an option to create hyperparameter tuning jobs. These jobs automatically search over ranges of hyperparameters to find the best values. Using sophisticated Bayesian optimization, a meta-model is built to accurately predict the quality of your trained model from the hyperparameters.

Learning Objectives:

  • Understand what hyperparameters are and what they do for training machine learning models
  • Learn how to use Automatic Model Tuning with Amazon SageMaker for creating hyperparameter tuning of your training jobs
  • Strategies for choosing and iterating on tuning ranges of a hyperparameter tuning job with Amazon SageMaker

Who Should Attend:

  • Developers/Data Scientists with a good working knowledge of Machine Learning

Level 200 | Service Intro

Learn how to accelerate development of AI applications using machine learning on AWS.

Speaker(s): Yash Pant, Enterprise Solutions Architect, AWS

July 26, 2018

9:00 AM - 10:00 AM PT

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Artificial intelligence is powering unprecedented innovation across industries - from healthcare to automotive to finance. However, many organizations still struggle with the best approach to data and tools to build intelligent systems. In this session, you’ll learn how to build powerful AI applications on AWS using computer vision and language services, as well as Amazon SageMaker, a fully-managed platform for machine learning that allows you to quickly and easily build, train, and deploy machine learning models at any scale. 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 AWS API Services: Amazon Rekognition, Amazon Comprehend, Amazon Polly, Amazon Lex, Amazon Transcribe, Amazon Translate
  • Learn about AWS machine learning platform Amazon SageMaker, and supported frameworks such as TensorFlow, Apache MXNet and PyTorch

Who Should Attend:

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

There are currently no tech talks scheduled for this track. Please check back again.

There are currently no tech talks scheduled for this track. Please check back again.

There are currently no tech talks scheduled for this track. Please check back again.

Level 100 | How To re:Invent

Join us as we dive deep with the AWS Training and Certification team on Bootcamps, Hands-on Labs, and how to get AWS Certified at re:Invent.

Speaker(s): Annie Hancock, Head of Creative & Customer Experiences, AWS; Jill Fagan, Lead, AWS re:Invent Content; Shannon O'Fallon, Events Manager, AWS Training and Certification  

July 18, 2018

8:00 AM - 8:30 AM PT

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In this month’s episode, we’re rounding up all the AWS Training and Certification opportunities to be found on-site at re:Invent 2018. Get the insider details on what’s in store when Annie and Jill sit down with AWS Training and Certification Lead, Shannon O’Fallon, to dive deep into Bootcamps, Hands-on Labs, and how to get AWS Certified while at re:Invent.

Who Should Watch:

  • Anyone who has registered or is thinking about registering for re:Invent 2018

Level 100 | How To re:Invent

Hear from one of our own AWS content experts as we dive deep into the re:Invent content strategy and how we maintain a high bar.

Speaker(s): Annie Hancock, Head of Creative & Customer Experiences, AWS; Jill Fagan, Lead, AWS re:Invent Content; Drew Meyer, Sr. Manager, Product Marketing, AWS  

Broadcast on:

June 13, 2018

Watch On-Demand

Planning for re:Invent 2018 is in full swing, and in this month's episode we'll start showcasing some of the amazing content we're bringing to our customers. Join us as we hear from technical track owner Drew Meyer, who has supported the development of re:Invent content for several years. Drew will dive deep with Jill and Annie on how re:Invent content comes together and how we maintain a high bar when thinking about our content strategy. He'll also provide a sneak peek into our 2018 Storage sessions.

Who Should Attend:

  • Anyone who has registered or is thinking about registering for re:Invent 2018

Level 200 | Solutions Best Practices

Discover and walk through essential best practices for securing your workloads using a number of AWS services.

Speaker(s): Ben Potter, Security Lead, Well-Architected, AWS

July 30, 2018

11:00 AM - 11:45 AM PT

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Securing your workload in alignment to best practices is necessary to protect information, systems, and assets while delivering business value through risk assessments and mitigation strategies. In this tech talk, we will walk you through the key best practices you should start with for securing your workload, using AWS services including AWS Identity & Access Management, AWS CloudTrail, Amazon GuardDuty and AWS Config.

Learning Objectives:

  • Key security configurations for your workload
  • Enabling AWS security services and how they fit together
  • Architectural best practice guidance

Who Should Attend:

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

Level 200 | Service Intro

Get an introduction to serverless and how to start building applications with no server management.

Speaker(s): Chris Munns, Senior Developer Advocate - Serverless, AWS

July 24, 2018

1:00 PM - 2:00 PM PT

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With serverless computing, you can build and run applications without the need for provisioning or managing servers. Serverless computing means that you can build web, mobile, and IoT backends, run stream processing or big data workloads, run chatbots, and more. In this session, learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We introduce you to the basics of building with Lambda. As part of that, we show how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.

Learning Objectives:

  • Understand the benefits of serverless computing, architectures, and applications
  • Learn the basics of using AWS Lambda for running code
  • Learn basic patterns and architectures for building apps with Lambda

Who Should Attend:

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

Level 200 | Solutions Best Practices

Learn about Amazon S3 security fundamentals and lots of new features that help make security simple.

Speaker(s): John Mallory, Principal BDM, Storage, AWS

July 30, 2018

9:00 AM - 9:45 AM PT

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AWS provides the tools that make many enterprises claim that their data is more secure in Amazon S3 than it is in their own data centers, and we're making S3 security easier all the time. In this tech talk, we'll discuss new features available to help you identify and remediate security concerns quickly, ensure that objects are encrypted, and we'll go over some of the fundamentals of security in Amazon S3.

Learning Objectives:

  • Learn the fundamentals of Amazon S3 security
  • See new features in the S3 console to help you identify security concerns
  • Understand how to set up encryption to further strengthen data security

Who Should Attend:

  • Corporate Security Administration Team, Application Owners

Check out the AWS webinars around the Globe: Spanish Webinars, Chinese Webinars, EMEA English Webinars.