AWS User Group Bengaluru (AWSUGBLR) is back with a bang to host the most awaited event, AWS Community Day Bengaluru 2019, unveiling success stories, use cases & much more from industry leaders.
Thanks ❤️ everyone for making last Community Day 🎈 a huge success
AWS User Group Bengaluru (AWSUGBLR) is a Bengaluru based group united by community-led learnings and diversified by the wide variety of tools and technologies closely knit with Amazon Web Services, cloud computing technology, AWS design implementation and servicing, high scalability / performance computing, production use cases of AWS, blockchain, Artificial Intelligence and much more.
Community-based learning is the best way to enhance the concepts being taught by connecting with enthusiasts in person, thereby sharing first-hand experiences and familiar, accessible examples.
All skills levels are welcome to help accomplish our motto of learning, sharing and networking. Let's join hands to empower this tech community to make it bigger and better!
Gives you access to the conference on 27th July, 2019
Gets you access to Serverless Workshop on 26th July, 2019
Gets you access to Deep learning workshop on 26th July, 2019
Gives you access to conference and any one workshop
Serverless on AWS
Hands-on Workshop on Developing AWSome App - a Serverless Food-delivery Application
Abstract:
Get hands-on experience with AWS and serverless applications in this workshop conducted by experts from AWS.
In this workshop you'll deploy a simple web application that enables users to request food from the AWSome Food website using services like AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, AWS Step Functions and Amazon Cognito.
With the knowledge from the workshop, you can build and deploy your own serverless applications using these services for common use cases like web applications, analytics, and more.
Format:
Full-day hands-on workshop (yes, do bring your laptops)
Application – Technical Description:
The application will present users with an HTML & JS based user interface for ordering food items and indicating the location where they would like the food to be delivered. The interface on the backend with a RESTful web service will submit the request and find and dispatch food to the requester’s location. The application will also provide facilities for users to register with the service and log in before ordering food.
The application architecture uses S3 hosts static web resources including HTML, CSS, JavaScript, and image files which are loaded in the user's browser. JavaScript executed in the browser sends and receives data from a backend API built using Lambda & Step Functions and API Gateway. Amazon Cognito provides user management and authentication functions to secure the backend API. Finally, DynamoDB provides a persistence layer where data can be stored by the API's Lambda function.
Pre-requisites:
Agenda:
Session 1: Getting Started with Serverless Development
Session 2: Static Website Hosting
Session 3: User Management
Lunch break
Session 4: Serverless Service Backend
Session 5: RESTful APIs with AWS Lambda and Amazon API Gateway
Session 6: Putting things together and next steps
Deep Learning on AWS
Learn about cloud-based Deep Learning solutions on AWS
Description
In this one-day course, you will learn cloud-based deep learning (DL) solutions on the AWS platform. You will learn how to run your models on the cloud using Amazon EC2‒based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWS frameworks. In addition, you will learn how to use Amazon SageMaker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS)—all while designing intelligent systems on AWS.
Intended Audience
This course is intended for:
Course Objectives
In this course, you will learn how to:
Prerequisites
We recommend that attendees of this course have the following prerequisites:
Delivery Method
This course is delivered through a mix of:
Hands-on Activity
This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.
Time
Track 1
Track 2
Track 3
Track 4
8:00 AM - 9:00 AM
Check-In and Networking
9:00 AM - 9:30 AM
Keynote: Embracing Full-stack Serverless. A new paradigm, Gerard Sans, Developer Advocate, AWS
9:30 AM - 10:00 AM
Presentation by JFrog
10:00 AM - 10:30 AM
Presentation by Amazon Alexa
10:30 AM - 11:00 AM
Presentation by Freshworks
11:00 AM - 11:30 AM
Tea Break
11:30 AM - 11:50 AM
Serverless Architecture : The future of Cloud Computing
Building a search experience live with App Search
From One to Many: Slack's transition away from a single AWS account
Andrew Martin, Senior Cloud Engineer, Slack
Diversity Program
Moderated by Bhuvaneswari Subramani, AWS re:Invent Diversity Scholarship Recipient
12:00 PM - 12:20 PM
Building voice-driven apps for Alexa.
Saifur Rahman Mohsin, Developer, Web, Mobile and Voice Driven Apps
What's New - "An AWS server-less backed platform for latest news on product releases."
Lot of learns from on-prem migration to AWS
Diversity Program
Moderated by Bhuvaneswari Subramani, AWS re:Invent Diversity Scholarship Recipient
12:20 PM - 1:30 PM
Lunch
1:30 PM - 2:10 PM
Plant Monitoring & Automatically Water System using AWS IoT.
Sekhar Rangam, Manager - Sr. Technical Architect, BRIDGEi2i Analytics Solutions
Making Lambda simpler for data scientists.
Lets Talk AI with the Avengers - Building a Conversational AI Assistant with AWS Lambda and Google Home.
Building Efficient, Scalable and Resilient Front-end logging service with AWS.
Kokilavani Kathiresan, Software Developer, Intuit
2:20 PM - 3:00 PM
Leveraging Machine Learning to Reduce Mean Time to Identify and Resolve Issues when handling Systems/Applications at Scale.
Refactoring to Serverless -- Translating common application architecture patterns to serverless on AWS.
Complex architectures for authentication and authorization on AWS.
Our journey with AWS from 0(ZERO) orders to 6 digit mark.
3:10 PM - 3:40 PM
Building Digital Human by using AWS Sumerian.
Ilanchezhian Ganesamurthy, Coorganizer AWS User Group, Chennai
Kubernetes on AWS (using Amazon EKS).
Simplifying Real Time Data Analytics with Docker, IoT & AWS Rekognition Service.
Ajeet Singh Raina, Docker Captain and Docker Bangalore Community Leader
Lessons learnt building a Distributed Linked List on S3.
3:50 PM - 4:30 PM
Leveraging Micronaut on AWS Lambda.
Security Best Practices for Kubernetes.
Neependra Khare, Founder and Principal Consultant at CloudYuga Technologies
Serverless Culture.
4:30 PM - 5:00 PM
Tea Break
5:00 PM - 5:15 PM
Closing Note
Gets you access to Serverless Workshop on 26th July, 2019
Gets you access to Deep learning workshop on 26th July, 2019
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