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The AWS Summit brings together the cloud computing community to connect, collaborate and learn about AWS. In this action-packed, one-day event, you can choose from over 20 breakout sessions covering a broad range of topics and technical depth. Attend introductory sessions on new and existing AWS services or participate in sessions that go deep into architecture and code. All sessions will be delivered by subject matter experts from AWS, Partners or expert customers who can share their real world experiences and lessons learned.

08:30 – 10:00 Registration, Solutions Expo, Breakfast
08:30 – 17:00

Hands-on Labs, AWS Booth

10:00 – 12:00 Opening Keynote
12:00 – 13:00 Lunch & Solutions Expo
13:00 – 17:00 Breakout sessions

Let’s build together! We all want to innovate rapidly, continuously iterate, and deliver our product and features quickly and effectively. Join us to the Rapid Innovation Live Demo Track, where we will build a live, fully-featured application, through the course of the day. We will begin with a clean AWS account, and work our way towards the “SpoTaxi” App, allowing users to outbid their friends for the nearest taxi ride. We will demonstrate the use of different services and architectural patterns, that allow us to innovate rapidly, focusing on serverless design, microservices architecture and big data pipeline.

AWS provides a broad platform of managed services to help you build, secure, and seamlessly scale end-to-end applications quickly and with ease. Big Data, Analytics & AI sessions will provide a general overview to help you get started with big data & AI on AWS, as well as more advanced best practices, common use cases, and architectural design patterns to collect, store, process, and analyze Data and use AI service as part of your solution.

Focuses on DevOps methodologies and tools, deployment and monitoring. The DevOps track is targeted at DevOps engineers, developers, and systems administrators. These sessions will provide deep technical coverage of services with feature demos, code samples, and real-world customer use cases focused on application deployment, continuous integration, infrastructure as code, and automation.

Join others that are just starting on AWS for sessions delivered by AWS technical instructors. The sessions cover AWS foundational services such as Amazon EC2, Amazon S3 and Amazon RDS, an overview of more advanced services and the next steps that you can take to continue developing your knowledge.

During the past year, AWS has been investing significantly in developing tools for AI, both in our support for Apache MXNet and the new AI tools set. This track will focus on the different tools from general overview to deep dive into the different offerings of our AI platform. Come learn how to build your own image recognition application, your first chatbot and train your deep learning model.

13:00 - 13:40  Rapid Development using Serverless Infrastructure
                        By Oren Katz, Mgr, Solutions Architecture, AWS & Oren Reuveni, Solutions Architect, AWS | Language: Hebrew
                        Services covered: DynamoDB, Cognito, ElasticSearch, API Gateway, Lambda

13:50 - 14:30  Architecting for Scale using Microservices
                        By Yuval Fernbach, Solutions Architect, AWS | Language: Hebrew
                        Services covered: ALB, ECS, ECR

14:40 - 15:20  Connecting the Unconnected using AWS IoT
                       
By Yuval Fernbach, Solutions Architect, AWS | Language: Hebrew
                        Services covered: IoT

15:30 - 16:10  React Fast by Processing Streaming Data
                        By Ran Tessler, Mgr Solution Architecture, AWS | Language: Hebrew
                         Services covered: Kinesis (Streams, Firehose, Analytics)

16:20 - 17:00  Applying Data Science to Build Smarter Apps
                        By Ronnen Slasky, Solutions Architect, AWS 
                        Services covered: Athena, QuickSight

13:00 - 13:40  Deploying a Data Lake in AWS
                        By Ran Tessler, Mgr Solution Architecture, AWS | Language: Hebrew
                        Services covered: Kinesis, DynamoDB, S3, EMR, Redshift Spectrum, SQS ElasticSearch, ElastiCache, RDS, Athena, Glue, QuickSight

13:50 - 14:30  Introduction to Deep Learning with Apache MXNet
                        By Guy Ernest, Business Development Manager, AWS | Language: Hebrew
                        Services covered: MXNet

14:40 - 15:20  Interactive Analytics on AWS
                        By Daniel Haviv, Solutions Architect, AWS | Language: Hebrew
                        Services covered: Athena, QuickSight

15:30 - 16:10  Fast Data at Scale
                        By Liron Dor, Solutions Architect - AWS | Language: Hebrew
                        Services covered: DynamoDB, DAX, ElastiCache

16:20 - 17:00   Analyzing Real-time Streaming Data with Amazon Kinesis
                         By Roy Ben Alta, Business Development Manager, AWS | Language: Hebrew
                         Services covered: Kinesis

13:00 - 13:40  Introducing CodeStar and the AWS CI/CD workflow
                        By Tara Walker, Technical Evangelist, AWS | Language: English
                        Services covered: CodeStar, CodeDeploy, CodeCommit, CodeBuild, CodePipeline

13:50 - 14:30  Deep Dive with EC2 Systems Manager
                        By Lior Pollack, Solutions Architect, AWS | Language: Hebrew
                        Services covered: Systems Manager

14:40 - 15:20  Deep Dive on Microservices and Docker
                        By Abby Fuller, Sr.Technical Evangelist, AWS | Language: English
                        Services covered: ECS

15:30 - 16:10  Deep Dive: Log analytics with Amazon Elasticsearch Service
                         By Kobi Bitton, Solutions Architect, AWS | Language: Hebrew
                         Services covered: Elasticsearch Service, Kinesis Firehose, EMR

16:20 - 17:00  Becoming an AWS Policy Ninja using AWS IAM and AWS Organizations
                         By Eden Perry, Solutions Architect, AWS | Language: Hebrew
                         Services covered: IAM, AWS Organizations

13:00 - 13:40  Introduction to AWS
                        By Boaz Ziniman, Technical Evangelist, AWS | Language: Hebrew

13:50 - 14:30  Your basic building blocks - AWS Compute
                        By Doron Rogov, Technical Trainer, AWS | Language: Hebrew
                        Services covered: EC2, LightSail, Cost (Spot, RI), Lambda

14:40 - 15:20  Fundamentals of Networking and Security on AWS
                         By Steve Seymour, Principal Solutions Architect, AWS | Language: English
                         Services covered: IAM, Security, Networking, CloudFront

15:30 - 16:10  Storage on AWS
                        By Stanislav Vonholsky, Solutions Architect, AWS | Language: Hebrew
                        Services covered: S3, EBS, EFS, Glacier

16:20 - 17:00  Working with Databases on AWS
                        By Ronen Amrani, Solutions Architect, AWS | Language: Hebrew
                        Services covered: RDS (Aurora), DynamoDB, Redshift

13:00 - 13:40  An Introduction to the AI services at AWS
                        By Adrian Hornsby, Technical Evangelist, AWS | Language: English
                        Services covered: MXNet, Rekognition, Lex, Polly

13:50 - 14:30  Building ChatBots with Amazon Lex
                        By Ian Massingham, Sr Mgr, Technical Evangelism, AWS | Language: English
                        Services covered: Lex

14:40 - 15:20  Image analysis with Amazon Rekognition
                        By Adrian Hornsby, Technical Evangelist, AWS | Language: English
                        Services covered: Rekognition

15:30 - 17:00  Deep Dive into Deep Learning with Apache MXNet on AWS
                        By Guy Ernest, Business Development Manager, AWS | Language: Hebrew
                        Services covered: MXNet