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AWS Customer Enablement Exchange
Getting Started on AI/ML &
Generative AI on AWSMumbai - June 26th, Delhi - June 27th, Bengaluru - June 27th, Chennai - June 27th, Pune - June 27th, Kolkata - June 27th, Jamshedpur10:00 AM - 4:30 PM
AWS Customer Enablement Exchange
Getting Started on AI/ML & Generative AI on AWS
Customers across a range of industries employ artificial intelligence (AI) and machine
learning
(ML) to bring predictive powers to their businesses. Whether they implement AI/ML to
make
applications more intelligent, analyse data on a deeper level, or forecast tomorrow’s
outcomes,
these technologies are essential for customers’ digital transformations. AI/ML holds the
promise
of enhancing decision making to make companies more agile, responsive, and efficient.
And,
just recently, generative AI applications like ChatGPT have captured widespread
attention and
imagination to indicate the possibilities of reinventing the customer experiences and
applications with generative AI.
In order to help customers like you accelerate their journey on AIML and Generative AI,
We are
delighted to invite you to the second episode of our AWS Customer Enablement Exchange
series
where in we will dive deep into "Getting Started on AI/ML & Generative AI on AWS"
workshop,
specifically crafted to help you develop expertise in building, deploying, and
monitoring the
AIML applications on AWS.
During the session, you will learn about the most performant, scalable infrastructure on
AWS
for cost-effective ML training and inference; Amazon SageMaker, which is the easiest way
for all
developers to build, train, and deploy models; and a wide range of services on AWS that
allow
customers to add AI capabilities like image recognition, forecasting, and intelligent
search to
applications with a simple API call. We will also cover the different pathways available
to quickly
build generative AI applications on AWS and overview of the AWS Generative AI Launch
Announcements, including Amazon Bedrock, Amazon Titan, Amazon CodeWhisperer, and new
AWS Trainium and Inferentia instance types.
Through interactive and guided labs, you will have hands-on experience in preparing
the dataset
for model training followed by development, training, and deployment of the AI/ML
models
end-to-end on AWS for one of the industry use-cases. The labs will also include the
hands-on
experience and demo’s to build, train and deploy ChatGPT like generative AI models
quickly for
different business problems.
This workshop series will be host by certified Amazon speakers and AIML experts, who
will lead
you through an experience that will equip you with the ability to build AI/ML
applications on
cloud and learn its implementation from day zero, and will also give you practical
insights you
can use to take the right decisions for your related cloud implementations in terms
of Security,
Resilience, Performance Efficiencies, Operational Excellence and Cost Optimisation.
Join this session on "Getting Started on AI/ML & Generative AI on AWS" and
fast-track your path
towards building AI/ML applications for your business use-cases with the best
practices and
efficient tooling for different phases of machine learning development lifecycle.
Who should attend?
At AWS, we’re innovating on behalf of our customers to deliver the
broadest and deepest set of
machine learning capabilities for builders of all levels of expertise, removing the
undifferentiated heavy lifting so that our customers can move faster. So, teams from
different
functions like AI/ML, Analytics, Data, Operations Research, Application Development,
etc.
including roles like AI/ML Practice Heads, Engineering Managers, Data Engineers, ML
Engineers,
Data Scientists, Solution Architects, Cloud Architects, Cloud Engineers, Software
Engineers,
Leaders & Builders etc. can join this session to accelerate their journey on AI/ML and
generative
AI applications.
Here’s what this workshop has in store for you
- Introduction to AI/ML and generative AI on AWS
- Learn about different AI services on AWS to quickly add intelligence to your applications in plug-and-play fashion
- Deep dive sessions on fully managed platform Amazon SageMaker and Amazon SageMaker Studio to support you on all the phases of machine learning application development lifecycle - data preparation, feature engineering, model development, model training, model deployment, and model monitoring for AI/ML models including generative AI foundation models.
- Learn about no-code/low-code SageMaker Canvas tools to build the AI/ML applications faster without the need of deep knowledge of AI/ML or Model Development.
- Hands-on Labs on Amazon SageMaker, Amazon SageMaker Jumpstart, Foundation Models, SageMaker Canvas, etc.
Why should you attend the program?
- Learn about the broadest and deepest set of machine learning capabilities available on AWS for builders of all levels of expertise including the No-Code/Low-Code tools.
- Despite your enthusiasm to use AI and ML, many decision-makers don’t know where to start. During this session, you will learn how you can start building AI/ML applications with the right and native tooling.
- Discover the fundamentals of generative AI and foundational models to learn how AWS customers can quickly experiment and build applications using these technologies on AWS.
- Learn about best practices around cost, security, reliability, performance, and operational excellence to build stable and efficient AI/ML applications.
- Learn from hands-on workshops to build the AI/ML applications right from scratch.
- Learn from certified AWS cloud and AIML experts.
- Network with your peers.
Locations
Click on cities to know more
Speakers
Jishnu Das Gupta, Sangram Mohite,
Rahul Shringarpure
Address
Godrej One, 11th Floor, Pirojshanagar, Vikhroli, Mumbai, Maharashtra 400079
Room No
11.104, 11.105 and 07.200Level: 11th floor
Speakers
Deepak Dixit, Shashi Shekhar,
Abhishek Sarolia
Address
Amazon Development Centre India Pvt Ltd, Ambience Tower,, Ambience Corporate
Office Tower-II, Ambience island, sector-24, gurugram, delhi-122022
Room
No
Del17 - 11.404 & 11.405Level: 11th Floor
Speakers
Sahil Verma, Pranshu Mishra
Address
Amazon, BLR18, Aquila Building, Bagmane Constellation Service Rd, Ferns
City, Doddanekkundi, Bengaluru, Karnataka 560048
Room
No
BLR18 09.100
Level: 9th Floor
Speakers
Madhav Pilutla,Senthil Jeyachandran,
Velraj Paulraj
Address
Block B, SP Infocity(Global Infocity), Opp. GEM Hospital, Perungudi,
Chennai, Tamil Nadu 60009
Room
No
MAA2 B Block 05.401 Level: B Block, 5th Floor
Speakers
Atul Dambalkar
Address
Amazon Development Centre India PNQ13, Building 5C, Manjri Sez, SP Infocity,
Phursungi, Maharashtra 412308
Room
No
PNQ13 01.405 Level: 1st Floor
Speakers
Mike Rocha
Address
Sify Technologies Limited
DLF IT Park – 1, 2nd Floor,
Tower - C, Premises No – 8,
New Town, Kolkata – 700156
Room
No
BLISSLevel: 2nd Floor
Speakers
Mike Rocha
Address
Tata Steel Premises
Room
No
Tata Steel Premises
Schedule
Welcome & Introductions
Let's get started with AWS!
Presentation – AIML on AWS
ML Basics, AIML Services, SageMaker Introduction, Feature Engineering for Machine Learning.
Lab - SageMaker Studio Notebooks & Feature Engineering
Get hands-on experience with SageMaker Console and Jupyter Notebook. Play around code to do feature engineering of sample dataset.
Tea Break
Take a minute to relax...
Presentation - Create Model, Prediction and Inference Train, Tune and Deploy ML Models with Amazon SageMaker
A key aspect of training machine learning models is the ability to tune them to the highest accuracy. you will learn how to train and tune your ML models and deploy them into production. You will also learn real time and batch inference techniques to get prediction from model.
Lab - Train, Tune and Deploy model using SageMaker Built-in Algorithm
Get hands-on experience in one of the most famous in-built ML algorithm Xgboost to build you model. Learn how you can get the best version of your machine learning model using hyperparameter tuning .Amazon SageMaker enables you to quickly and easily deploy your ML models to the most scalable infrastructure. You will learn deployment options and autoscaling for your ML models endpoint. Real time and batch inference techniques.
Lunch
Enjoy your meal!
Presentation – SageMaker Canvas and JumpStart
Amazon SageMaker Canvas makes it easy for business analysts and domain experts to generate highly accurate ML predictions on their own without any ML experience. SageMaker JumpStart helps you easily and quickly bring machine learning applications to market Learn the fundamentals and then dive deep into these features.
Lab - Build ML Model with No Code Using SageMaker Canvas
Get hands on Amazon SageMaker Canvas – a Visual, No Code Machine Learning Capability for Business Analysts.
Break
Take a minute to relax...
Presentation – Generative AI on AWS
New Announced Services, Amazon Bedrock, Amazon Titan, SageMaker Jumpstart, Foundational Models, and Use-Cases
Lab/Demo – TextToText GenAI Model on AWS
Build and deploy the working TextToText GenAI model in 30 minutes on Amazon SageMaker.
Conclusion and Next Steps
Expert Speakers
Deepak Dixit
Delhi
Shashi Shekhar
Delhi
Abhishek Sarolia
Delhi
Jishnu Das Gupta
Mumbai
Sangram Mohite
Mumbai
Rahul Shringarpure
Mumbai
Sahil Verma
Bangalore
Pranshu Mishra
Bangalore
Madhav Pilutla
Chennai
Senthil Jeyachandran
Chennai
Velraj Paulraj
Chennai
Atul Dambalkar
Pune
Mike Rocha
Kolkata
Get Direction To The Venue
Select City
Address
Godrej One, 11th Floor, Pirojshanagar, Vikhroli, Mumbai, Maharashtra 400079
Address
Amazon, BLR18, Aquila Building, Bagmane Constellation Service Rd, Ferns City, Doddanekkundi, Bengaluru, Karnataka 560048
Address
11th floor, Amazon Development Centre India Pvt Ltd, Ambience Tower,, Ambience Corporate Office Tower-II, Ambience island, sector-24, gurugram, delhi-122022
Address
Block B, SP Infocity(Global Infocity), Opp. GEM Hospital, Perungudi, Chennai, Tamil Nadu 60009
Address
Amazon Development Centre India PNQ13, Building 5C, Manjri Sez, SP Infocity, Phursungi, Maharashtra 412308
Address
Sify Technologies Limited DLF IT Park – 1, 2nd Floor, Tower - C, Premises No – 8, New Town, Kolkata – 700156