Women in Big Data - AWS AI/ML Workshop Minneapolis
Overview
You are invited to introductory and technical sessions including hands-on experience on the AWS Artificial Intelligence/Machine Learning Platform, hear success stories from our guest speakers, and connect with the AWS subject matter experts who can help you accelerate your machine learning efforts.
AWS has a long and rich heritage of Machine Learning and Deep Learning Solutions such as personalized shopping recommendations, automated fulfillment and inventory management, robotic drones for fast delivery, a checkout-free computer vision retail experience with Amazon Go, voice interactions with Alexa, and a lot more. And now, AWS is the center of gravity for Artificial Intelligence/Machine Learning because of the massive volume of data stored and processed on our Big Data platform. By lowering the barriers for AI/ML workloads with an innovative suite of products and services, AWS enables you to easily build machine learning powered smart applications to meet complex business needs.
Who should attend?
- Solutions Architects, Developers, Technical Managers, and Decision Makers who want to understand the fundamentals of the AWS Machine Learning Platform.
- Data Scientists, Architects, and Analysts looking to accelerate their AI/ML initiatives.
- Machine Learning enthusiasts, women in technology or big data looking to jump-start their career in AI/ML technologies.
Event Details
Date & Time: | April 25, 2019 1:00 PM – 5:00 PM Registration: 12:30 PM |
![]() |
Location: | Amazon Web Services, 323 N. Washington Ave. 7th Floor, Minneapolis, MN 55401 | ![]() |
Agenda
Time | Session | |
1:00 PM – 1:45 PM | Overview of AI/ML Services on AWS
|
|
1:45 PM – 2:20 PM | Panel Discussion with Guest Speakers
|
|
The following breakout sessions can be selected based on your current expertise and/or interest: | ||
Track 1: Hands-on Sessions for AWS AI/ML Application Services | Track 2: Hands-on Sessions for Amazon SageMaker | |
2:30 PM – 3:15 PM | Build your first conversational bot using Amazon Lex/Polly Level: Beginner |
Build a Prediction Model using Amazon SageMaker Built-in Algorithms Level: Intermediate |
3:15 PM – 4:00 PM | Social Media and Amazon Rekognition Level: Intermediate |
Amazon SageMaker Integration with Apache Spark on Amazon EMR Level: Advanced |
4:00 PM – 5:00 PM | Networking / Happy Hour |
Time | Session | |
1:00 PM – 1:45 PM | Overview of AI/ML Services on AWS
|
|
1:45 PM – 2:20 PM | Panel Discussion with Guest Speakers
|
|
The following breakout sessions can be selected based on your current expertise and/or interest: | ||
Track 1: Hands-on Sessions for AWS AI/ML Application Services | Track 2: Hands-on Sessions for Amazon SageMaker | |
2:30 PM – 3:15 PM | Build your first conversational bot using Amazon Lex/Polly Level: Beginner |
Build a Prediction Model using Amazon SageMaker Built-in Algorithms Level: Intermediate |
3:15 PM – 4:00 PM | Social Media and Amazon Rekognition Level: Intermediate |
Amazon SageMaker Integration with Apache Spark on Amazon EMR Level: Advanced |
4:00 PM – 5:00 PM | Networking / Happy Hour |
Featured Partner
|