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.

SFLoftPage

Click here to view map: 1446 Market Street, San Francisco, CA

Open Monday-Friday, 10:00am-6:00pm
Please continue to check the website as exceptions to these hours may apply.


March 28-31, 2017

Join us for four days of education and demos about DevOps on AWS. This series will benefit both experienced and inexperienced practitioners of DevOps who want to learn more about AWS’s DevOps services and best practices. During each day, we will introduce you to common DevOps practices and architectural patterns used by Amazon and leading companies. These practices can help you more rapidly and reliably build and deploy applications at scale. We will provide technical overviews and deep dives into the AWS services that help you leverage DevOps best practices at your company. You will also hear from AWS partner companies that provide solutions for DevOps on AWS.

You can choose to register for just one day, or attend all four.  

Click here to register.

March 28, 2017

Continuous Delivery and Continuous Integration Day | 10AM-3:30PM

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

10:30AM-11:30AM | Introduction to Continuous Integration and Delivery Services, AWS CodeBuild and AWS CodeDeploy

11:30AM-12:30PM | Automate Software Deployments on EC2 with AWS CodeDeploy

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

1:30PM-2:30PM | Application Lifecycle Management in a Serverless World

2:30PM-3:30PM | Infrastructure Continuous Delivery Using AWS CloudFormation

Registration is full for this event.

March 29, 2017

Infrastructure as Code Day | 10AM-3:30PM

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

10:30AM-11:30AM | AWS OpsWorks for Chef Automate

11:30AM-12:30PM | Deploy, scale and manage your application with AWS Elastic Beanstalk

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

1:30PM-2:30PM | Amazon EC2 Systems Manager for Hybrid Cloud Management at Scale

2:30PM-3:30PM | CloudFormation Best Practices

Registration is full for this event.

 

March 30, 2017

Monitoring and Logging Day | 11:30AM-8PM

11:30AM-Noon | Check-In

Noon – 1:00PM | Introduction to AWS X-Ray

1:00PM-2:00PM | Amazon CloudWatch Logs and AWS Lambda

2:15PM-3:15PM | Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service

3:30PM-5:30PM | Incident Response & Coordination (Hosted by: AWS DevOps Competency Partner, PagerDuty)

6:00PM-8:00PM | How to Scale Your Architecture and DevOps Practices for Big Data Applications (Hosted by AWS Customer, Loggly)

Click here to register.

10AM-6PM

Ask an Architect Bar

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM
AWS Customer Co-working Customers with a Valid Account ID
10AM-3:30PM

Continuous Delivery and Continuous Integration Day

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

10:30AM-11:30AM | Introduction to Continuous Integration and Delivery Services, AWS CodeBuild and AWS CodeDeploy: Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous integration and delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using a set of application lifecycle management tools from AWS: the newly announced AWS CodeBuild service, AWS CodePipeline, and AWS CodeDeploy. Level 200

11:30AM-12:30PM | Automate Software Deployments on EC2 with AWS CodeDeploy: So you’ve written some code. Now what? How do you make it available to your customers in an efficient and reliable manner? Learn how you can use AWS CodeDeploy to easily and quickly push your application updates. This talk will introduce you to the basics of CodeDeploy: key concepts, how it works, where it fits in your release process, and some deployment strategies to get you started on the right foot. We’ll walk through several demos, going from a basic sample deployment on EC2 to a live update of a large multi-instance fleet, giving you a sense for how CodeDeploy can grow with your needs. Level 300

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

1:30PM-2:30PM | Application Lifecycle Management in a Serverless World: Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including how to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality. Level 300

2:30PM-3:30PM | Infrastructure Continuous Delivery Using AWS CloudFormation: In this session, we will review ways to manage the lifecycle of your dev, test, and production infrastructure using CloudFormation. Learn how to architect your infrastructure through loosely coupled stacks using cross-stack references, tightly coupled nested stacks and other best practices. Learn how to use CloudFormation to provision and manage a continuous deployment pipeline for your infrastructure-as-code. Automate deployment of new development environments as your infrastructure evolves, promote your new architecture for testing, and deploy changes to production. Level 400

Registration is full for this event.
Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-3:30PM

Infrastructure as Code Day

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

10:30AM-11:30AM | AWS OpsWorks for Chef Automate: AWS OpsWorks has introduced a new offering, AWS OpsWorks for Chef Automate. OpsWorks for Chef Automate provides a fully managed Chef server and suite of automation tools that give you workflow automation for continuous deployment, automated testing for compliance and security, and a user interface that gives you visibility into your nodes and their status. The Chef server gives you full stack automation by handling operational tasks such as software and operating system configurations, package installations, database setups, and more. The Chef server centrally stores your configuration tasks and provides them to each node in your compute environment at any scale, from a few nodes to thousands of nodes. OpsWorks for Chef Automate is completely compatible with tooling and cookbooks from the Chef community and automatically registers new nodes with your Chef server. Level 300

11:30AM-12:30PM | Deploy, scale and manage your application with AWS Elastic Beanstalk: AWS Elastic Beanstalk provides an easy way to quickly deploy, manage, and scale applications in the AWS cloud. Through interactive demos, this session will discuss the best practices for deploying and scaling your application, provisioning additional AWS resources and performance tuning. We will also do a deep dive into the recently launched Elastic Beanstalk features and cover some of best practices for using Elastic Beanstalk.  This session will benefit both new and experienced users of Elastic Beanstalk. Level 300

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

1:30PM-2:30PM | Amazon EC2 Systems Manager for Hybrid Cloud Management at Scale: Whether you are a startup exploring migrating workloads to the cloud or are already all-in, performing common tasks of inventory collection, OS patch management, and image creation at scale is increasingly complicated in the hybrid infrastructure environments. Amazon EC2 Systems Manager allows you to perform automated configuration and ongoing management of your hybrid environment systems at scale. This session provides an overview of key EC2 Systems Manager capabilities that help you define and track system configurations, prevent drift, and maintain software compliance of your EC2 and on-premises configurations. We will also discuss common use cases for EC2 Systems Manager and give you a demonstration of a hybrid-cloud management scenario.  Level 300

2:30PM-3:30PM | CloudFormation Best Practices: AWS CloudFormation lets you model, provision, and update a collection of AWS resources with JSON and YAML templates. You can manage your Infrastructure as Code and deploy stacks from a single Amazon EC2 instance to multi-tier applications. In this session, we will explore CloudFormation best practices in planning and provisioning your AWS infrastructure. We will cover recent product updates that will help you make the most of this service and demonstrate new features. This session will benefit both new and experienced users of CloudFormation. Level 300

Registration is full for this event.

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
11:30AM-8PM

Monitoring and Logging Day

11:30AM-Noon | Check-In

Noon – 1:00PM | Introduction to AWS X-Ray: AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. In this session, you will learn how to use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services. Level 300

1:00PM-2:00PM | Amazon CloudWatch Logs and AWS Lambda: In this session, we cover three common scenarios that include Amazon CloudWatch Logs and AWS Lambda. First, you learn how to build an Elasticsearch cluster from historical data using Amazon S3, Lambda, and CloudWatch Logs. Next, you learn how to add details to CloudWatch alarm notifications using Amazon SNS and Lambda. Finally, we show you how to bring Elastic Load Balancing logs to CloudWatch Logs using S3 bucket triggers from Lambda. Level 300

2:15PM-3:15PM | Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service: Elasticsearch is a fully featured search engine used for real-time analytics, and Amazon Elasticsearch Service makes it easy to deploy Elasticsearch clusters on AWS. With Amazon ES, you can ingest and process billions of events per day, and explore the data using Kibana to discover patterns. In this session, we use Apache web logs as example and show you how to build an end-to-end analytics solution. First, we cover how to configure an Amazon ES cluster and ingest data into it using Amazon Kinesis Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data. Then we demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports. Level 300

3:30PM-5:30PM | Incident Response & Coordination (Hosted by: AWS DevOps Competency Partner, PagerDuty): Traditionally the role of handling service outages fell only within operations teams responsible for the environment.  However, with modern development approaches such as microservices, and with increasingly distributed responsibility for infrastructure through cultural shifts such as DevOps, coordinating and responding to outages or incidents is only becoming more complex.  There are several techniques and organizing structures you can use to decrease your mean-time-to-detect and mean-time-to-resolve. In this session, you will learn processes and patterns you can apply to improve incident response within your own organization and hear examples of how customers using both AWS and PagerDuty, such as Yelp and Groupon, have adopted distributed responsibility for their services.

 

6:00PM-8:00PM | How to Scale Your Architecture and DevOps Practices for Big Data Applications (Hosted by AWS Customer, Loggly): What happens when you push big data technologies to their limits? In this session, Manoj Chaudhary, CTO and vice president of engineering at Loggly, will discuss best practices for building and running a big data application with a distributed architecture that can process terabytes of data every day with real-time event streams of 500,000+ events per second. Manoj will cover how Loggly uses Amazon ElastiCache, RDS, Route 53, Kafka, and Elasticsearch. He will share a reference architecture, mechanisms for protecting the pipeline from spikes and unpredictable loads, and an architecture for real-time archiving to Amazon S3. He will also discuss “logfooding” at Loggly: How his team uses its own product to monitor and manage a complex, distributed application. Manoj will outline best practices, along with how to integrate monitoring with DevOps-centric tools like HipChat, PagerDuty, and Slack. Light appetizers and refreshments will be served.

Click here to register.

Mixed levels
10AM-5PM

Microservices Day

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

10:30AM-11:30AM | Introduction to Microservices: Microservices architectures are changing the way that organizations build their applications and infrastructure. Companies can now achieve new levels of scale and efficiency by disaggregating their large, monolithic applications into small, independent “micro services”, each of which perform different functions. In this session, we’ll introduce the concept of microservices, help you evaluate whether your organization is ready for microservices, and discuss methods for implementing these architectures. We’ll also cover topics such as using API gateways, enabling self-service infrastructure provisioning, and ways to manage your microservices. Level 200

11:30AM-12:30PM | 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 200

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

1:30PM-2:30PM | Getting Started with AWS Lambda and the Serverless Cloud: With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we'll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness. Level 200

2:45PM-5:00PM | Workshop: Wild Rydes Takes Off – The Dawn of a New Unicorn: Wild Rydes (www.wildrydes.com) needs your help! With fresh funding from its seed investors, Wild Rydes is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon S3. Join this workshop to hop on the rocket ship! Level 200
To complete this workshop, you'll need: Your laptop, AWS Account, AWS Command Line Interface, Google Chrome, git, Text Editor

Registration is full for this event.

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM

Ask an Architect Bar

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM
AWS Customer Co-working Customers with a Valid Account ID
9:30AM-5:30PM

Big Data Analytics Day

9:30AM-10:00AM | Check-in: Breakfast will be provided.

10:00-10:50AM | Big data architectural patterns and best practices on AWS: The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost. Level 200

11:00AM-11:50AM | Spark and the Hadoop Ecosystem: Best Practices for Amazon EMR: Amazon EMR is a managed service that lets you process and analyze extremely large data sets using the latest versions of over 15 open-source frameworks in the Apache Hadoop and Spark ecosystems. In this session, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters, and other Amazon EMR architectural best practices. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost-efficient. Finally, we dive into some of our recent launches to keep you current on our latest features. This session will feature Asurion, a provider of device protection and support services for over 280 million smartphones and other consumer electronics devices. Level 200

12:00PM-1:00PM | Lunch Break

1:00PM-1:50PM | Data warehousing in the era of Big Data: Deep Dive into Amazon Redshift: Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this session, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance. We also discuss how to design optimal schemas, load data efficiently, and use work load management. Level 300

2:00PM-2:50PM | Introduction to Amazon Athena: Amazon Athena is a new serverless query service that makes it easy to analyze data in Amazon S3, using standard SQL. With Athena, there is no infrastructure to setup or manage, and you can start analyzing your data immediately. You don’t even need to load your data into Athena, it works directly with data stored in S3. Level 200

In this session, we will show you how easy it is to start querying your data stored in Amazon S3, with Amazon Athena. First we will use Athena to create the schema for data already in S3. Then, we will demonstrate how you can run interactive queries through the built-in query editor. We will provide best practices and use cases for Athena. Then, we will talk about supported queries, data formats, and strategies to save costs when querying data with Athena.


• Learn about the capabilities and features of Amazon Athena
• Understand the different use cases
• Describe how to run queries and options to store and visualize results
• Understand integration with other AWS big data services such as Amazon QuickSight

3:00PM-5:30PM | Workshop 1: Querying and analyzing data in Amazon S3: Workshop abstract coming soon! Level 200

Click here to register.

 

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
9:30AM-6:30PM

Real-time Streaming Day

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

10:00AM-10:50AM | Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data Ingestion with Firehouse: Amazon Kinesis is a platform for streaming data on AWS, offering powerful services to make it easy to load and analyze streaming data. In this session, you’ll learn about how AWS customers are transitioning from batch to real-time processing using Amazon Kinesis, and how to get started. We will provide an overview of streaming data applications and introduce the Amazon Kinesis platform and its services. We will walk through a production use case to demonstrate how to ingest streaming data, prepare it, and analyze it to gain actionable insights in real time using Amazon Kinesis. We will also provide pointers to tutorials and other resources so you can quickly get started with your streaming data application. Level 200

11:00AM-11:50AM | Serverless Streaming Data Processing using Amazon Kinesis Analytics: As more and more organizations strive to gain real-time insights into their business, streaming data has become ubiquitous. Typical streaming data analytics solutions require specific skills and complex infrastructure. However, with Amazon Kinesis Analytics, you can analyze streaming data in real-time with standard SQL—there is no need to learn new programming languages or processing frameworks. In this session, we dive deep into the capabilities of Amazon Kinesis Analytics using real-world examples. We’ll present an end-to-end streaming data solution using Amazon Kinesis Streams for data ingestion, Amazon Kinesis Analytics for real-time processing, and Amazon Kinesis Firehose for persistence. We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Amazon Kinesis Analytics applications. Lastly, we discuss how to estimate the cost of the entire system. Level 200

12:00PM-1:00PM | Lunch Break

1:00PM-1:50PM | Log analytics with Amazon Elasticsearch Service & Kibana: Everything generates logs. Applications, infrastructure, security ... everything. Keeping track of the flood of log data is a big challenge, yet critical to your ability to understand your systems and troubleshoot (or prevent) issues. In this session, we will use both Amazon CloudWatch and application logs to show you how to build an end-to-end log analytics solution. First, we cover how to configure an Amazon Elaticsearch Service domain and ingest data into it using Amazon Kinesis Firehose, demonstrating how easy it is to transform data with Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data and configure a secure analytics environment. We demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports. Level 300


2:00PM-4:30PM | Workshop 2: Building a streaming data platform on AWS: Everything generates logs. Applications, infrastructure, security ... everything. Keeping track of the flood of log data is a big challenge, yet critical to your ability to understand your systems and troubleshoot (or prevent) issues. In this session, we will use both Amazon CloudWatch and application logs to show you how to build an end-to-end log analytics solution. First, we cover how to configure an Amazon Elaticsearch Service domain and ingest data into it using Amazon Kinesis Firehose, demonstrating how easy it is to transform data with Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data and configure a secure analytics environment. We demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports. Level 200

5:00PM-6:30PM | How Netflix uses Amazon Kinesis Streams to Monitor and Optimize Large-scale Networks in Real-time: Thousands of services work in concert to deliver millions of hours of video streams to Netflix customers every day. These applications vary in size, function, and technology, but they all make use of the Netflix network to communicate. Understanding the interactions between these services is a daunting challenge both because of the sheer volume of traffic and the dynamic nature of deployments. In this talk, we’ll first discuss why Netflix chose Amazon Kinesis Streams over other streaming data solutions like Kafka to address these challenges at scale. We’ll then dive deep into how Netflix uses Amazon Kinesis Streams to enrich network traffic logs and identify usage patterns in real time. Lastly, we will cover how Netflix uses this system to build comprehensive dependency maps, increase network efficiency, and improve failure resiliency. From this talk, you’ll take away techniques and processes that you can apply to your large-scale networks and derive real-time, actionable insights. Light appetizers and refreshments will be served.

Click here to register.

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM

AI & Predictive Analytics Day

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

10:00AM-10:50AM | Introduction to Artificial Intelligence on AWS: 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 session, 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.  The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started. Level 200

11:00AM-11:50AM | Building speech enabled products with Amazon Polly & Amazon Lex: This session will introduce you to Amazon Polly, a deep learning service that turns text into lifelike speech. Polly enables existing applications to speak as a first class feature and creates the opportunity for entirely new categories of speech-enabled products – from mobile apps and cars, to devices and appliances. Polly includes 47 lifelike voices and support for 24 languages, so you can select the ideal voice and distribute your speech-enabled applications in many geographies. Polly is easy to use – you just send the text you want converted into speech to the Polly API, and Polly immediately returns the audio stream to your application so you can play it directly or store it in a standard audio file format, such as MP3. Polly supports Speech Synthesis Markup Language (SSML) tags like prosody so you can adjust the speech rate, pitch, or volume. Polly is a secure service that delivers all of these benefits at high scale and at low latency. You can cache and replay Polly’s generated speech at no additional cost. Polly lets you convert 5M characters per month for free during the first year. Polly’s pay-as-you-go pricing, low cost per request, and lack of restrictions on storage and reuse of voice output make it a cost-effective way to enable speech synthesis everywhere.  Join this session to learn more and find out how you get can started with Amazon Polly, today! Level 200

12:00PM-1:00PM | Lunch: Lunch will be provided.

1:00PM-1:50PM | Deep learning-based image recognition: Intro to Amazon Rekognition: This session will introduce you to Amazon Rekognition, a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API lets you easily build powerful visual search and discovery into your applications. With Amazon Rekognition, you only pay for the images you analyze and the face metadata you store. There are no minimum fees and there are no upfront commitments.  To get started with Rekognition, simply log in to the Rekognition console to try the service with sample photos or your own photos. Join this session and learn more about Amazon Rekognition! Level 200

2:00PM-2:50PM | Visualizing Big Data Insights with Amazon QuickSight: Amazon QuickSight is a fast BI service that makes it easy for you to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.  QuickSight is built to harness the power and scalability of the cloud, so you can easily run analysis on large datasets, and support hundreds of thousands of users.  In this session, we’ll demonstrate how you can easily get started with Amazon QuickSight, uploading files, connecting to S3 and Redshift, and creating analyses from visualizations that are optimized based on the underlying data.   Once we’ve built our analysis and dashboard, we’ll show you easy it is to share it with colleagues and stakeholders in just a few seconds. Level 200

3:00PM-5:30PM | Workshop 3: Scalable Deep Learning Using Apache MXNet:
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 to recognize handwritten digits and test it for accuracy.  You’ll be provided all of the materials necessary to train your own Deep Neural Networks at scale on the AWS platform. Level 200

Click here to register.

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM AWS Customer Co-working Customer with a Valid Account ID
10AM-6PM

Ask an Architect Bar

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM
AWS Customer Co-Working Customers with a Valid Account ID
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM AWS Customer Co-working
Customers with a Valid Account ID
6PM-8PM

HR + Recruiting Best Practices | AWS Activate Business Series

Looking for the right fit to join your company? Wondering how to retain your talent? Join us to learn about navigating the dynamic aspects of human resources and recruiting for startups. Jacqueline Breslin, Director of Human Capital Services from TriNet, will help startups learn the ins and outs of HR systems, programs, benefits, and practices for their growing startups, as well as the pitfalls to watch out for. Following the talk, we'll sit down for a fireside chat with Andi Vanetta Smith, CEO & Founder, Vanetta Partners, on best practices for recruiting and hiring stellar employees who enrich your company's culture.

Agenda:
6PM-7PM: Talk by Jacqueline Breslin, Director of Human Capital Services, TriNet
7PM-8PM: Fireside chat with Andi Vanetta Smith, CEO & Founder, Vanetta Partners

Click here to register.

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM AWS Customer Co-working
Customers with a Valid Account ID
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM AWS Customer Co-working Customers with a Valid Account ID
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM AWS Customer Co-working
Customers with a Valid Account ID
10AM-6PM

Ask an Architect Bar

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM
AWS Customer Co-Working Customers with a Valid Account ID
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM AWS Customer Co-working
Customers with a Valid Account ID
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM AWS Customer Co-working Customers with a Valid Account ID
10AM-6PM AWS Pop-up Loft will be CLOSED.  
10AM-6PM
AWS Pop-up Loft will be CLOSED.  
10AM-6PM

Ask an Architect Bar

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10AM-6PM
AWS Customer Co-working Customers with a Valid Account ID
10AM-6PM

IoT | AWS Loft Architecture Week

Registration coming soon!

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

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IoT | AWS Loft Architecture Week

Registration coming soon!

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

Walk-in
10AM-6PM

IoT | AWS Loft Architecture Week

Registration coming soon!

Mixed levels
10AM-6PM

Ask an Architect

New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!
Walk-in
10AM-6PM

Girls in Tech Day

The AWS Loft is reserved for members of Girls in Tech only this day.  If you're interested in learning more about the Girls in Tech group, click here.

Members of Girls in Tech Only
10AM-6PM

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New to AWS? Need help? Visit our Ask an Architect Bar for 1:1 help from our AWS Architects!

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