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EVENT DETAILS |
AI/ML Bootcamp is a 2 day event for Machine Learning (ML) aspiring developers, application developers, ML developers and data scientists that want to learn and apply ML at speed and scale. Presented by Amazon AI/ML experts, this series of sessions and hands-on workshops has something for developers and data scientists of all machine learning skill levels.
On Day 1, you learn how to get hands on with machine learning using AWS DeepRacer and how to add computer vision, language, recommendation, and forecasting intelligence with pre-trained AI services.
On Day 2, you learn how to build, train, and deploy ML models at scale with ML services that cover the entire ML workflow to label and prepare your data, choose an algorithm, train the model, tune and optimize it for deployment, make predictions, and take action.
Who should attend
This event is perfect for beginners that that want to dive deep into AI/ML, as well as advanced ML practitioners who want to build, train, and deploy models at massive scale.
Please arrive with an active AWS account to follow alongside instructor led sessions and workshops. We also suggest that you activate free / paid tiers for these services: Amazon Comprehend, Amazon Rekognition, Amazon SageMaker, Amazon Polly, Amazon Transcribe, Amazon Translate, and Amazon.
Schedule
WEDNESDAY, OCTOBER 30
Smart Applications
(No ML experience required)
VIEW FULL DAY AGENDA
9:30AM-10:00AM
Check-In
10:00AM-10:30AM
Keynote
10:30AM-12:30PM
Workshop: Use AWS DeepRacer to Get Rolling with Machine Learning
12:30PM-1:00PM
Lunch
1:00PM-2:00PM
Session: Use Natural Language and Text Analysis to Power More Intelligent Applications
2:00PM-3:00PM
Session: Integrate Amazon.com's ML Techniques for Customer Recommendations and Forecasting Workflows into Your Applications
3:00PM-3:15PM
Break
3:15PM-5:15PM
Workshop: Enhancing Media Workflows with Machine Learning
THURSDAY, OCTOBER 31
Build, Train, and Deploy
Models Faster and Easier
VIEW FULL DAY AGENDA
9:30AM-10:00AM
Check-In
10:00AM-11:00AM
Session: Get Started with Amazon SageMaker: Build, Train, and Deploy Machine Learning Models in the Cloud
11:00AM-1:00PM
Workshop: Building a Recommendation Model
Using SageMaker
1:00PM-1:30PM
Lunch
1:30PM-2:30PM
Session: Remove Your Biggest Challenge to Getting Started with ML: Using Amazon SageMaker Ground Truth to Label Data at 70% Less Cost
2:30PM-2:45PM
Break
2:45PM-4:45PM
Workshop: Build, Train, and ML Deploy Models at any Scale with Amazon SageMaker
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