About the event
AI/ML Bootcamp is a 2 day event for Machine Learning (ML) aspiring developers, application developers, ML developers & data scientists that want to learn & apply ML at speed & scale. Presented by Amazon AI/ML experts, this series of sessions & hands-on workshops has something for developers & data scientists of all machine learning skill levels.
On Day 1, you learn how to get hands on with machine learning using AWS DeepRacer & how to add computer vision, language, recommendation, & forecasting intelligence with pre-trained AI services. On Day 2, you learn how to build, train, & deploy ML models at scale with ML Services that cover the entire ML workflow: label & prepare your data, choose an algorithm, train the model, tune & optimize it for deployment, make predictions, & take action.
Who should attend
This event is perfect for beginners that want to dive deep into AI/ML, as well as advanced ML practitioners who want to build, train, & deploy models at massive scale.
Must have an active AWS account & introductory knowledge of AWS. Please bring your laptop to participate in workshops.
We also suggest that you activate these services:
- Amazon Comprehend
- Amazon Rekognition
- Amazon SageMaker
- Amazon Polly
- Amazon Transcribe
- Amazon Translate
Smart applications, no ML experience required
VIEW FULL DAY AGENDA
Workshop: Use AWS DeepRacer to Get Rolling with Machine Learning
Use Natural Language & Text Analysis to Power More Intelligent Applications
Integrate Amazon.com's ML Techniques for Customer Recommendations & Forecasting Workflows Into Your Applications
Workshop: Build a Movie Recommendation Engine Using Amazon Personalize
Build, train, & deploy models faster & easier
VIEW FULL DAY AGENDA
Get Started with Amazon SageMaker: Build, Train, & Deploy Machine Learning Models in the Cloud
Workshop: Building a Recommendation Model Using SageMaker
Remove Your Biggest Challenge to Getting Started with ML: Using Amazon SageMaker Ground Truth to Label Data at 70% Less Cost
Workshop: Build, Train, & ML Deploy Models at any Scale with Amazon SageMaker