July 13th, 2024
AWS User Group for Women In Tech is excited to host the most awaited event, AWSheTech Day, unveiling success stories, use cases & much more from industry leaders.
WHO ARE WE?
AWS User Group for Women In Tech is a vibrant and inclusive community dedicated to empowering women professionals in the tech industry across India who are passionate about Amazon Web Services (AWS) and cloud computing.
Our mission is to provide a supportive and inspiring environment where women can network, learn, and grow their skills in AWS technologies. Whether you're a beginner exploring cloud computing or an experienced professional looking to advance your expertise, our group offers valuable resources, events, and opportunities tailored to your needs.
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 skill 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!
What to expect from AWSheTech Day
- Renew, revive & revitalize to exemplify your excitement about the work you do
- Learn industry trends and intricacies about innovative implementations from AWS experts
- Harness the power of networking with AWS users, DevOps, developers & solutions architects
- Network with fellow AWS veterans & techies during breaks
- Novice to pioneer on relentless pursuit to learn can rejoice the AWS offerings & success stories under one roof.
- Take helpful and valuable information back to business
- Gain visibility to get more publicity for your esteemed organisation
- Sporting chance for active participants to win AWS goodies
Please read the Code of Conduct for this event
Register
Conference
Registrations OpenGives you access to the conference
13th July, 2024
Building with Foundational Models on Amazon SageMaker Studio
| Date | Duration |
|---|---|
| 13th July 2024, 2:00PM | 2 Hours |
Location
- 9th floor, Amazon Development Center, Aquila,
- Bagmane Constellation Business Park Block-7, Ferns City,
- Doddanekkundi, Bengaluru,
- Karnataka 560048
Description
Dive into the exciting world of Large Language Models with our hands-on workshop, specially designed for enthusiasts eager to master the art of Generative AI. This exclusive session will guide you through the entire journey of learning, building, training, and deploying cutting-edge Language Models using Amazon SageMaker Studio. Experience firsthand the latest innovations in Generative AI and discover how the new releases in Amazon SageMaker Studio can transform your AI aspirations into reality. Don't miss this opportunity to elevate your skills and stay ahead in the rapidly evolving landscape of artificial intelligence!
Pre-requisites:
- Familiarity with Machine Learning processes
- Familiarity with Amazon SageMaker and Amazon SageMaker Studio
- Familiarity with PySpark
- Basic Programming with Python
Amazon EKS Workshop
| Date | Duration |
|---|---|
| 23rd March, 2:00PM | 2 Hours |
Location
- 9th floor, Amazon Development Center, Aquila,
- Bagmane Constellation Business Park Block-7, Ferns City,
- Doddanekkundi, Bengaluru,
- Karnataka 560048
Description
This workshop covers from creating EKS cluster to application's life cycle. We will create container image, upload it to Amazon ECR, deploy Amazon EKS clusters & services, try Auto-Scaling Pod & Cluster, Build CI/CD Pipeline and use CloudWatch Container Insights to collect, aggregate, and summarize metrics and logs from your containerized application.
Pre-requisites:
- Understanding of Container & Kubernetes
Machine Learning
NOTE: WORKSHOP WILL BE CONDUCTED ONLINE
Those who attend the entire workshop, will get amazon vouchers
equivalent to the workshop ticket amount.
| Date | Duration |
|---|---|
| 17th Oct, 2:00PM | 4 Hours |
Description
Speakers :
Agenda : In this workshop, you will learn cloud-based machine learning (ML) solutions on the AWS platform. You will learn about the basics of Machine Learning on cloud, Implementing end to end ML pipeline using Amazon SageMaker and applied use cases using AWS AI services focusing on NLP and CV.
Objective:
- Introduction to Machine Learning
- Amazon SageMaker & AWS AI Services
- Hands-on Labs: AWS AI Services
- Design & Implementation: Build, train and deploy using Sagemaker
- Applied use-case (NLP & CV)
Intended Audience:
- Anyone who is passionate about Machine Learning, and wondering how to get started
- If you are new to machine learning, this might be a good starting point
- Developers who want to understand concepts behind machine learning and how to implement a machine learning solution on AWS
Session Pre-Requisites :
- Basic understanding of machine learning processes
- Basic knowledge of Python
Technical Resources :
- Amazon Sagemaker
- AWS AI services.
Containers
NOTE: WORKSHOP WILL BE CONDUCTED ONLINE
Those who attend the entire workshop, will get amazon vouchers
equivalent to the workshop ticket amount.
| Date | Duration |
|---|---|
| 17th Oct, 2:00PM | 4 Hours |
Description
Speakers :
Topic : Microservices Deployment With AWS ECS Agenda :In this workshop, we will cover how to containerize and deploy Microservices in AWS ECS
Objective:
- Containerize Applications and upload docker image in AWS ECR
- Create ECS Cluster
- Task Definition (with with an image from ECR and from DockerHub)
- Running / Scheduling standalone Task
- Configuring and running Services with Load balancing and Auto Scaling (including Capacity Provider)
- Advance Auto Scaling with ECS
- Running Tasks and services with fargate
- Using ECS CLI / copilot
In this 4 hour long workshop, you will learn:
Session Pre-Requisites :
- Active Internet Connection
- Active AWS Account
- Basic understanding of Containerization and AWS Services like IAM, EC2
- Basic knowledge of NodeJs/ any programming languages, in demo application we will use NodeJs
Technical Resources :
- AWS Services : AWS EC2, ECR, ECS, Fargate, App Mesh, Code CodeBuild
Venues
13th July 2024
Conference
- St.Joseph's Institute of Technology
- Old Mamallapuram Road,
- Semmancheri, Chennai
- TamilNadu - 600119
Keynote Speaker
Building applications on AWS in the age of Generative AI
Mani Chandrasekaran, Principal Technologist at AWS India for India and South Asia
Agenda
Time
Track
8:30 AM - 9:15 AM
Registration and Networking
9:20 AM - 9:30 AM
Welcome Note & Opening Speech - Sridevi Murugayen, AWS Data Hero, AWS User Group Chennai
9:35 AM - 9:50 AM
Community Keynote Speaker - Ridhima Kapoor, Developer Marketing Lead at Amazon Web Services(AWS)
10:00 AM - 10:25 AM
Keynote - Building applications on AWS in the age of Generative AI - Mani Chandrasekaran, Principal Technologist at AWS India for India and South Asia
10:30 AM - 10:55 AM
Ensuring Business Continuity: Disaster Recovery and High Availability Strategies with AWS
11:00 AM - 11:15 AM
Tea Break
11:15 AM - 11:40 AM
AWS Certification: Preparation Tips, Tricks, and Best Practices - Deepika Nair, AWS
Training Delivery Manager/Senior Technical Trainer
11:45 PM - 12:10 PM
Panel Discussion - Harnessing AWS, GenAI, and Advanced Analytics to Revolutionize Life Sciences
Lokesh Bhagchand, India Head & Chief Operating Officer at Agilisium
Hemapriya Dharshini, Senior Vice President at Agilisium
Karthika Rajan, Data Engineer at Agilisium
12:15 AM - 12:40 PM
Connected Health for Remote Moms - Senthilkumar Murugesan, Co-Founder, JioVio Healthcare
01:00 PM - 01:50 PM
Lunch and Networking
02:05 PM - 02:30 PM
EKS deep dive - how to schedule workloads with sample application deployment and scalling - Selvam Raju, Senior Technical Lead at HCL Technologies
02:35 PM - 03:00 PM
Nephele takes flight - Building our AWS Cloud Club concept to creation
Dhyana S K, Event Manager at AWS Cloud Club St.Joseph's Group of Institutions
Arthi S, Social Media Manager at AWS Cloud Club St Joseph's Group of Institutions
03:05 PM - 03:30 PM
Your Story, Your Brand: Elevate Your Career With Powerful Narratives - Mahesh Bellie, Founder, StoryEQ
03:30 PM - 03:45 PM
Tea Break
03:50 PM - 04:15 PM
From Zero to Hero: Mastering Generative AI for Transformative Results - Vinolin Jermiah, Amazon Authorized Instructor - Champion
04:15 PM - 04:25 PM
How technology helps NGO Organisations - Aishwarya Sivakumar, Softhelp Trust
04:30 PM - 04:45 PM
Breakout Session - Divyalakshmi T
04:45 PM - 05:00 PM
Collaboration
05:00 PM - 05:15 PM
Closing Note
05.15 PM -05:30 PM
Feedback and Swag Distribution
Our Community Partners
Venue Partner
Speakers
Senthilkumar Murugesan
Co-Founder, JioVio Healthcare
Mahesh_Bellie
Founder, StoryEQ
Aarthi Govardhanan
Senior Delivery Manager, Presidio
Harini Muralidharan
Senior Delivery Manager, Presidio
Lokesh Bhagchand
India Head & Chief Operating Officer, Agilisium
Hemapriya Dharshini
Senior Vice President, Agilisium
Karthika Rajan
Data Engineer, Agilisium
Santhiya Viswanathan
Senior Software Engineer, Agilisium
Jagatheeswari Ravi
Senior Software Engineer, Agilisium
Deepika Nair
Senior Technical Trainer, AWS
Selvam Raju
Senior Technical Lead, HCL Technologies
Dhyana S K
Event Manager, AWS Cloud Club, St.Joseph's Group of Institutions
Arthi S
Social Media Manager, AWS Cloud Club, St Joseph's Group of Institutions
Vinolin Jermiah
Amazon Authorized Instructor
Aishwarya Sivakumar
Softhelp Trust
Build your own Serverless Food Delivery App in 3 hours!
Goal
Leverage AWS Serverless services to build a simple food delivery app in less than 3 hours!
Abstract
In this workshop, you will architect, develop and deploy a simple food delivery application that enables users to order food from the app using services like AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon EventBridge, 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.
Description
Who doesn’t love food? Who doesn’t love the comfort of ordering food from our couch? And as curious engineers, we all love the technology that goes behind building such amazing apps. What if we could build something similar (basic and not a full-blown app :)) in less than 3 hours? This is the power of Serverless - building highly scalable, highly available, and cost-effective applications!
In this workshop, we will understand how easy & quick it is to build real-world applications using Serverless on AWS and understand the various services that can be leveraged. The application will present users with a React user interface for ordering food items. The interface on the backend with RESTful and WebSocket services will accept 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.
AWS Services Covered:
1. The frontend of the application will be hosted on Amazon S3, with CDN enabled using Amazon CloudFront
2.The backend of the application will be entirely driven by AWS Lambda functions
3. Amazon EventBridge will be used for inter-communication across different microservices
4. Amazon API Gateway for REST and WebSocket APIs
5. Amazon CloudWatch & AWS X-Ray for monitoring, observability, and debugging
6. Amazon Cognito for user management, authentication and authorization
7. DynamoDB for the storage
AWS Account
In order to complete this workshop you'll need an AWS Account with access to create IAM, S3, DynamoDB, Lambda, EventBridge, API Gateway, and Cognito resources. All of the resources you will launch as part of this workshop are eligible for the AWS free tier if your account is less than 12 months old. See the AWS Free Tier page for more details.
Essential React & Python knowledge
The front end is built on React, and the backend code is written in Python; hence working knowledge is needed of these languages is for this workshop.
Speakers
Data and Analytics Engineering Workshop
Goal
Generate Insight by Breaking Data Silos on AWS!
Abstract
● Data is the underlying force that fuels the insights and predictions that result in better decision-making and innovation.
● In this workshop, learn how to use data to reinvent your strategy now and in the future. We explore how to build a modern data strategy blueprint that will help you manage, access, analyze, and act on data
● With the knowledge from the workshop and exposure to different AWS Data services, you can replicate them for any enterprise use case.
Description
● This workshop will focus on hands-on labs and modules that focus on ingestion, hydration, exploration, and consumption of data in a data lake in AWS.
● It includes hands-on time with AWS analytics services, including AWS Data Migration service for batch data ingestion, AWS Glue for data catalog and running ETL on Data lake, Amazon Athena to query data lake, and Amazon Quicksight for visualization.
● The workshops provided here will guide you through creating a modern data platform on AWS and will demonstrate the fundamental principles:
1. Scalable Data Lakes
2. Purpose Built Data Services
3. Seamless Data Movement
4. Easy Data Visualization
5. Performant and Cost-Effective
Target Audience
● Engineers
● Business Analytics
● Data Analysts
AWS Account (BYOA - bring your own account):
● To complete this workshop, you'll need an AWS Account with full access to create different AWS services like Amazon RDS, Amazon S3, AWS Glue, Amazon Athena, Amazon Quicksight, AWS StepFunctions, and AWS Airflow Managed Service.
● See the AWS page & video tutorial for details on deploying the new AWS Account.
Agenda
| Sr No | Topic | Lab | Duration |
|---|---|---|---|
| 1 | Overview of Data Analytics on AWS | NA | 30 mins |
| 2 | Data Ingestion | Amazon RDS Postgres database to an Amazon S3 bucket | 30 mins |
| 3 | Data Transformation & Storage | Transforming data with Glue ( Bookmarks, Workflow, Catalog) & Configure Athena tables | 30 mins |
| 4 | Data Query | Configure Athena tables | 15 mins |
| 5 | Data Visualisation | Configure Quicksight and connect with Athena | 30 mins |
| 6 | Orchestration | Exploring AWS StepFunction Exploring AWS StepFunction |
15 mins 15 mins |
| 7 | Summary | NA | 15 mins |
Outcome:
● Presentation covering Overview of AWS DNA services
● Lab Manual to execute the workshop offline step by step
● Automation scripts to provision any prerequisite required for performing the lab on AWS, like deploying AWS IAM and other services like AWS S3.
● Best practice for handling AWS Account
Speakers
AWS Workshop for AI/ML
Goal
Using Amazon SageMaker to Train & Deploy ScikitLearn ML Model and Integrate to API Gateway using AWS Lambda Function
ABSTRACT
- In this workshop, You will learn how to train, develop and deploy Machine Learning model. How AWS Services can be leveraged to create a production ready Machine Learning model.
- You will practice using Amazon SageMaker Instance, S3 Bucket, API Gateway, Lambda Function services.
Description
- Machine Learning is something which is always constrained to data scientists. It is always difficult as an individual to carry out many complex Machine learning tasks in a normal environment.
- In this Workshop, We will understand how AWS Provides Cloud Environment to Create Machine Learning Models which have a very specific set of requirements.
- We will also learn to use AWS Lambda and API Gateway to expose the Machine Learning Details to Outside applications which can access them through REST APIs.
AWS SERVICES COVERED
- The Machine Learning model with Python.
- We will be leveraging the ScikitLearn model for training.
- Amazon Sagemaker features such as Jupyter Notebooks, Training Jobs, Models and Endpoint configurations to run Machine Learning Trained models.
- Amazon S3 for storing and transferring data points.
- Creating Machine Learning Predictions using the Trained Library.
- AWS Lambda for Sagemaker communication.
- API Gateway for creating Rest APIs for Prediction Results.
AWS ACCOUNT
- Whizlabs will be providing AWS Platform for the workshop.
- Each workshop attendee will get a separate AWS Account for doing workshop from whizlabs.
- Zero Additional cost as the cloud environment is already created for you.
ESSENTIAL KNOWLEDGE
- Basics in Python -- Codebase will be provided during workshop.
- Basic understanding in Machine Learning Concepts - It Helps.
- AWS Cloud services basics Understanding - Lambda, Sagemaker - You will be shown how to use them as part of workshop.
OUTCOME
- Variety of features provided by Amazon Sagemaker.
- How Machine Learning models can be designed and developed on AWS.
- Understanding how to make the production ready APIs for Machine Learning Predictions.
Speakers
Thanks, Your registration has been done successfully.