AWS Dev Day is a free, full-day technical event where developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep into the newest AWS services.
Join us for highly technical sessions, live demos, and networking with AWS experts and your peers.
Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. You will learn how to build serverless architectures on AWS using AWS Lambda and integrate with Amazon API Gateway and Amazon Cognito to create a range of applications from data processing systems to mobile backends to web applications.
Containers allow you to easily package your application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control, regardless of deployment environment. Running containers in the AWS Cloud allows you to build robust, scalable applications and services by leveraging the benefits of the AWS Cloud such as elasticity, availability, security, and economies of scale. Learn how to run Docker-enabled applications at scale on AWS.
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies within the reach of every developer. Learn how you can easily add these powerful features to your applications to enhance the way they interact with the real world.
AWS offers a broad range of databases purpose-built for your specific application use cases. Our fully managed database services include relational databases for transactional applications, non-relational databases for internet-scale applications, a data warehouse for analytics, an in-memory data store for caching and real-time workloads. AWS also offers a comprehensive set of services to handle every step of the analytics process chain including data warehousing, business intelligence, stream processing, and data workflow orchestration. Learn the concepts, architecture guidance, and use cases when building these workloads with your mobile and cloud applications.
08:30 - 09:30 | Breakfast & Registration | ||||||
Track: Serverless | Track: Containers | Track: Artificial Intelligence | Track: Database | ||||
09:30 - 10:30 | Serverless: State of the Union Level: Getting Started (200) |
Containers: State of the Union Level: Getting Started (200) |
Level: Getting Started (200) |
Data design and modeling for microservices Level: Deep Dive (300) |
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10:30 - 11:00 | Break | ||||||
11:00 - 12:00 | Serverless Developer Experience Level: Deep Dive (300) |
Deep Dive on Amazon Amazon Elastic Container Service (Amazon ECS) Level: Deep Dive (300) |
An Introduction to Deep Learning: Theory, Use Cases and Tools Level: Deep Dive (300) |
Scaling your application with AWS relational databases Level: Deep Dive (300) |
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12:00 - 13:00
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Serverless Architectural Patterns Level: Deep Dive (300) |
Amazon Elastic Container Service for Kubernetes (Amazon EKS) Level: Deep Dive (300) |
Building Chat Bot Applications Level: Deep Dive (300) |
Level: Deep Dive (300) |
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13:00 - 14:00 | Lunch | ||||||
14:00 - 15:00 | Building Global Multi-Region, Active-Active Serverless Backends Level: Deep Dive (300) |
Level: Deep Dive (300) |
Machine Learning: From Notebook to Production with Amazon Sagemakers Level: Deep Dive (300) |
Level: Deep Dive (300) |
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15:00 - 15:30 | Break | ||||||
15:30 - 16:30 | Building and deploying GraphQL Servers with AWS Lambda and Prisma Customer Talk: Prisma |
Level: Deep Dive (400) |
CANCELLED Deep Learning for Developers: Apache MXNet & Keras Level: Deep Dive (300)
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Building an end to end serverless analytics application Level: Deep Dive (300) |
Please note that the agenda is subject to change