The AWS Lofts are a place where startups and developers can meet over coffee, work on their apps, attend educational sessions, and get in-person answers to AWS technical questions – all at no cost.

Gain hands-on experience through free technical workshops on serverless, containers, IoT, and more. Or, sharpen your business acumen by attending best practice sessions that include PR, legal, and funding. Plus, network and learn first-hand from other hot startups, VCs, and accelerators.

NYLoftPage

Click here to view map: 350 West Broadway, New York, NY

Open Monday-Friday, 10:00am-6:00pm

Please continue to check the website as exceptions to these hours may apply.


June 26-28

Over this week, we will explore how you can leverage the AWS platform to build containerized and serverless applications. We will also demonstrate how you can build a range of applications from data processing systems to web applications. Hear from customers on how they are using Amazon ECS and AWS Lambda for their production needs...

Click here to register.

HR + Recruiting for Startups with TriNet

May 23  

Looking for just the right candidate? Wondering how to retain your talent? Learn about navigating the dynamic aspects of human resources and recruiting for startups with Matt Tetefsky, Regional Consultant from TriNet, and David Saad, Co-founder, SingleSprout.

Click here to register.

Amazon Connect Learning Lab

June 1

Learn how quick and simple it is to setup and configure a contact center for your customer service needs, using Amazon Connect. We’ll show you how to setup an Amazon Connect contact center using your own AWS account, configure it to meet specific business needs, and process other data systems to stream contact records to a data warehouse. This learning lab event will also discuss integration with 3rd party systems, such as secure payment, WFO, and analytics.

Click here to register.

Artificial Intelligence Day

June 15

Back by popular demand, Artificial Intelligence (AI) Day is coming to the AWS Loft in New York with newly added, free workshops! We will provide an overview of AI and then dive deep into Amazon Rekognition, Amazon Lex, Amazon Polly and MXNet. You will learn core capabilities and use cases, and gain useful tips and best practices. In addition, AWS customer, TheTake, a startup dedicated to making movie and television content shop-able, will demonstrate how they use Amazon Rekognition to build a state-of-the-art facial recognition system.

Click here to register.


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HR + Recruiting Best Practices for Startups with TriNet

Looking for just the right candidate? Wondering how to retain your talent? Join us to learn about navigating the dynamic aspects of human resources and recruiting for startups.

Matt Tetefsky, Regional Consultant from TriNet, will discuss the ins and outs of HR systems, programs, benefits, and practices for their growing startups, as well as the pitfalls to avoid. Following the talk, we'll sit down for a fireside chat with David Saad, Co-founder, SingleSprout, on best practices for recruiting and hiring stellar employees who enrich your company's culture.

Agenda:
6PM-7PM Presentation by Matt Tetefsky, Regional Consultant, TriNet
7PM-8PM Fireside chat with David Saad, Co-founder, SingleSprout

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10AM-5PM AWS Loft will be CLOSED in observance of Memorial Day.  
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Amazon Connect Learning Lab

Come see how easy it is to configure a contact center using Amazon Connect. As a participant you will get a brief overview of Amazon Connect, and then see for yourself how quick and simple it is to setup and configure for your business and customer service needs.  The hands-on lab will have you setup an Amazon Connect contact center in your own AWS account, and take a test call in minutes.  From there you will configure your contact center to meet business needs, including building contact flow experiences, also known as Interactive Voice Response,  that adapt the customer experience in real-time based on the caller, and other data, such as text to speech and enabling branching based on customer response or call history.  You will be processing other data systems, also known as “data dips,” to stream their contact records to a data warehouse.

The next portion of the lab will focus on integration with 3rd party systems, such as secure payment, WFO, and analytics. In this section, you will see how these integrations work as an example of how you might want to integrate.  We will conclude the lab with sandbox, where you will be able to experiment free-form with the Contact Flow Editor to build the most interesting contact flow your imagination allows.  Amazon Connect representatives will be available to help brainstorm and implement.

Lab Requirements:

  • Laptop with one of the last 3 releases of Chrome or Firefox.
  • Access to an AWS account with admin privileges, to setup your connect instance.
  • Coding skills welcome, but not required.
  • For analytics session, you will need to have SQL Workbench.

Agenda

9:30AM – 10:00AM | Check-In

10:00AM – 10:45AM | Introduction and Overview of Amazon Connect: Come learn how to get started with Amazon Connect, a self-service, cloud-based contact center service, based on the same technology used by Amazon customer service associates around the world to power millions of customer conversations.  We’ll cover the basics to set the foundation and walk you through the hands-on experience of setting up your own Amazon Connect instance.  Level 100

10:45AM-11:00AM | Break

11:00AM – 12:30PM | Foundational Building Blocks: In this session, we will cover the Amazon Connect foundational building blocks including: phone number management, hours of operation, queues, prompts, contact flows, routing profiles, configure users, and reporting capabilities.  We will help you better understand and configure specific use cases for your customer to customize your Amazon Connect virtual contact center experience.   Level 100

12:30PM-1:15PM – Lunch (Lunch will be provided)

1:15PM – 2:00PM | The Art of the Possible: The ability to easily integrate to various applications is key in the contact center. In this session, we will demonstrate several of Amazon Connects out-of-the-box integrations like Salesforce and Zendesk.  See examples of custom integrations such as screen-pop, data dips, and chat bots.  We will show how a secure Interactive Voice Response (IVR) Contact Flow can be set-up to assist an agent to better serve a customer, when collecting sensitive information securely.  By leveraging the Amazon Connect API, we will show you the art of the possible. Level 200

2:00PM – 3:00PM | Understanding Contact Flows: Amazon Connect Contact Flows provide a graphical interface to create self and assisted call handling experiences, from the time a customer enters the system to the end of the contact.  In this session, we will cover the features available to customize your contact flows, providing your customers with dynamic, natural and personal experiences. Level 200

3:00PM-3:15PM | Break

3:15PM – 4:30PM | Creating Dynamic Contact Flows: AWS Lambda lets you run code without provisioning or managing servers.  You can run code for virtually any type of application or backend service, all with zero infrastructure administration. Join us for this hands-on lab, where you will learn how to leverage the power of AWS Lambda to create customized, dynamic, and personalized customer experiences. Level 400

4:30PM-6:00PM | Analytics: Analytics can demonstrate the value you are adding to the business through the power of the data.  In this session, you will learn how to extract and store data beyond standard call details into a data warehouse, and then visualize the data.  Learn how you can extend Amazon Connect to gain system-wide visibility into resource utilization, application performance, and operational health. Level 400

Click here to register.

Mixed levels
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10AM-6PM

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6PM-9PM

Wild Rydes Serverless Workshop

Scenario:

It's your first week at a cutting-edge new startup, Wild Rydes. They need your help building their unicorn ride sharing platform using serverless architectures. People trying to get home from happy hour are depending on you.

Startup details:

Introducing Wild Rydes, a new innovative unicorn transportation service that helps people get to their destination faster and hassle-free. You simply open the Wild Rydes app, request a unicorn, and then wait for the nearest unicorn to arrive and pick you up. It’s better, faster, safer, and more magical. With fresh venture capital funding, Wild Rydes seeks your help to build its technology platform with serverless architectures.

Hop on board today to help Wild Rydes build the future of magical transportation!

Click here to register.  

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Artificial Intelligence Day

9:30AM-10:00AM | Check-In

10:00AM-10:25AM | Introduction to Artificial Intelligence (AI): Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this quick overview, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. Level 100

10:25AM-10:50AM | Large Scale Facial Recognition with TheTake: TheTake is a startup dedicated to making movie & television content shop-able. From James Bond's Omega watch to John Wick's Mustang, TheTake identifies and makes available for purchase every product seen on screen. And the first step in that process is being able to identify what actors are on screen. Jared Browarnik, Co-Founder & CTO, will share how TheTake uses Amazon Rekognition to build a database of tens of thousands of faces, and track those faces across millions of frames of video content. Jared will walk through TheTake's use case and implementation to demonstrate how easy it is to build a state-of-the-art facial recognition system using AWS services.

10:50AM-11:00AM | Break

11:00AM-12:30PM | Amazon Rekognition Workshop: Amazon Rekognition makes it easy to extract meaningful metadata from visual content. This workshop includes multiple exercises during which attendees will use Rekognition to build practical use cases. Each module provides best practices for integrating Rekognition with other AWS services in real-world scenarios that help developers build image analysis quickly and confidently into their own applications. Level 400.

12:30PM-1:15PM | Lunch (Lunch will be provided)

1:15PM-2:45PM | MXNet Workshop: Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding and recommendation engines. One of the key reasons for this progress is the availability of highly flexible and developer friendly deep learning frameworks. During this workshop, we will provide a short background on Deep Learning focusing on relevant application domains and an introduction to the powerful and scalable Deep Learning framework, Apache MXNet. At the end of this tutorial you’ll be able to train your own deep neural network, fine tune existing state of the art models for image and object recognition. We’ll also deep dive on setting up your deep learning infrastructure on AWS and model deployment on AWS Lambda. Level 400.

2:45PM-3:00PM | Break

3:00PM-4:30PM | Amazon Lex and Amazon Polly Workshop: Amazon Lex is a service for building conversational interfaces into any application using voice and text, and Amazon Polly is a service that turns text into lifelike speech. This workshop combines both of these AWS services in an interactive session during which attendees build service and informational chatbots that feature spoken-voice interfaces. These modules provide foundational skills for any developer looking to enrich their applications with natural, conversational interfaces. Level 300.

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10AM-4:15PM

Introduction to AWS Compute Day  

9:30AM-10:00AM | Check-In (Breakfast will be provided)

10:00AM-11:00AM | Introduction on Amazon EC2: Amazon EC2 changes the economics of computing and provides you with complete control of your computing resources. It is designed to make web-scale cloud computing easier for developers. In this session, we will take you on a journey, starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies. We will also discuss tools and best practices that will help you build failure resilient applications that take advantage of the scale and robustness of AWS regions. Level 200

11:00AM-Noon | Getting the most Bang for your Buck with #EC2 #Winning: Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO. In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. Common application examples will be used to demonstrate how to best combine EC2’s purchasing models. You will leave the session with best practices you can immediately apply to your application portfolio. Level 200

Noon-1:00PM | Lunch Break

1:00PM-2:00PM| Introduction to Amazon EC2 Spot: Amazon EC2 Spot instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this session,you will learn best practices on how to scale big data workloads as well as process, store, and analyze big data securely and cost effectively. Lunch will be provided. Level 300

2:00PM-3:00PM | Introduction to AWS Batch: AWS Batch is a fully-managed service that enables developers, scientists, and engineers to easily and efficiently run batch computing workloads of any scale on AWS. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2, Spot Instances, and AWS Lambda. AWS Batch reduces operational complexities, saving time and reducing costs. In this session, you will learn core concepts behind AWS Batch and details of how the service functions. Level 300

3:15PM-4:15PM | Introduction to Amazon Lightsail: Amazon Lightsail is the latest addition to the AWS family of compute services and the fastest way to get your next cloud server up and running. For a low price that starts at $5/month, Lightsail offers a bundle of resources and services that let you jumpstart your cloud project in a few clicks. The new, intuitive Lightsail console makes it simple to manage your virtual resources, letting you focus on code, not system administration. Come to this session and learn how Lightsail can get you started on AWS quickly and efficiently. Level 200

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Amazon Container Day

10:00AM-11:00AM | Getting Started with Docker on AWS: AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production. Level 100

11:00AM-Noon | From Monolith to Microservices: Maintaining monolithic apps is a complex task, requiring developers to spend months learning the details of the system’s architecture and where a single change cause cascading failure. Microservices architecture de-couples monolithic systems, increasing agility and removing points of failure. In this session, we will explore the reasoning and concepts behind microservices and show how you can transform monolithic apps into microservices. We will discuss how containers simplify building microservices-based applications, and we will walk through a number of patterns used by our customers to run their microservices platforms. We will also dive deep into some of the challenges of running microservices, such as load balancing, service discovery, and secrets management, and we’ll see how Amazon EC2 Container Service (ECS) can help address them. Level 200

Noon-1:00PM | Lunch (Lunch will be provided)

1:00PM-2:00PM | Container Orchestration with Amazon ECS: As customers build and run production microservices architectures based on containers, having powerful tools to manage the placement and scheduling of these workloads is critical. Amazon ECS allows customers to focus on building their application and removes the need for managing the cluster management software entirely. This session will focus on the capabilities of the new ECS task placement engine, the built-in ECS schedulers, and explore how customers can build custom schedulers using the ECS event stream and Blox, a newly announced open source scheduling framework that gives developers additional choice and control in how they manage containers in production. Level 300

2:00PM-3:00PM| Continuous Delivery to Amazon ECS: Keeping consistent environments across your development, test, and production systems can be a complex task. In this session, we will explore how developers can build effective CICD workflows to manage their containerized code deployments using Amazon EC2 Container Service, Amazon EC2 Container Registry, and AWS CodeStar tools. We will walk through best practices for CICD archiectures used by our customers to deploy containers to AWS and we will also deep dive ino topics such as creating an accessible CICD platform and Blue-Green deployments. We'll also demo how you can easily use AWS to create a CICD pipeline and deploy containers on Amazon ECS. Level 300

3:00PM-3:30PM | Break (Snacks will be provided)

3:30PM-5:30PM | Workshop: Deploy a Deep Learning Framework on Amazon ECS: Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Level 300

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Mixed Levels
6PM-8PM

Lightening Talk: 8 Things We Learned From Running BuzzFeed on Amazon ECS  

Containerization is everywhere now, and choosing an orchestration path (ECS, Kubernetes, Swarm etc) can be confusing. BuzzFeed talk about what led them to picking ECS and what they’ve learnt along the way. A year and a half ago, BuzzFeed was feeling the pain of having a 10 year old monolithic web application with it taking days to deploy and validate each release. Switching to a service orientated architecture would address part of the problem, but also meant the deployment workflow must be be right too - it should be easy and enjoyable. During a week long “hack week” last year, BuzzFeed built a platform as a service on top of ECS. This has been a game changer - they now operate over 200 services and average more than 150 deploys per day. Sri Ray, Staff Site Reliability Engineer and Andrew Mulholland, Director of Engineering, Site Reliability at Buzzfeed will share their experiences from successfully using ECS at scale and how it's changed how they operate.

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1PM-5:15PM

Serverless Day

1:00PM-2:00PM | Building Serverless Web Applications: What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS. Level 200

2:00PM-3:00PM | Real-time Data Processing using AWS Lambda: What if there were an easier way to perform big data analysis with less setup, instant scaling, and no servers to provision and manage? With serverless computing, you can perform real-time stream processing of multiple data types without needing to spin up servers or install software. Come learn how you can use AWS Lambda with Amazon Kinesis to analyze streaming data in real-time and then store the results in a managed NoSQL database such as Amazon DynamoDB. You’ll learn tips and tricks for doing in-line processing, data manipulation, and even distributed MapReduce on large data sets. Level 300

3:00PM-3:15PM | Break (Snacks will be provided)

3:15PM-4:15PM| Serverless Orchestration with AWS Step Functions: AWS Step Functions is a new, fully-managed service that makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Step Functions is a reliable way to connect and step through a series of AWS Lambda functions, so that you can build and run multi-step applications in a matter of minutes. This session shows how to use AWS Step Functions to create, run, and debug cloud state machines to execute parallel, sequential, and branching steps of your application, with automatic catch and retry conditions. Learn how easy it is to create Step Functions state machines and activities using CloudFormation Templates, and then start them with Amazon API Gateway. We share how customers are using AWS Step Functions to reliably orchestrate and scale multi-step applications such as order processing, report generation, and data transformation–all without managing any infrastructure. Level 200

4:15PM-5:15PM| Distributed Serverless Stack Tracing and Monitoring: When you’re running a large, multi-faceted serverless application with AWS Lambda, how can you effectively diagnose issues in your application’s performance? In this session, we’ll show you how to peek under the hood of your function executions so you can determine where performance issues are occurring in your serverless application. We’ll demonstrate a live demo of a new service, AWS X-Ray, which is a distributed tracing service that helps developers analyze and debug distributed applications. We’ll show you how you can use X-Ray to diagnose your serverless applications using dynamic stack tracing, call analysis, and the X-Ray service graph which visually depicts service calls made to your application. Level 400

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