I'm very excited about being able to attend AWS re:Invent in person this year. Let me share which sessions I've reserved seats in.
Assumptions
- Workshops > other session types - there are many types of sessions you can attend. This includes chalk talks, lightning talks, demos, fairs, jams, breakout sessions and other interesting names I don't exactly understand. I find workshops particularly interesting because you get to do a hands-on exercise, you can discuss it with other participants and the speakers. I have thoroughly enjoyed the workshops I've been in before.
- Include Keynotes - Keynotes have something interesting about them, they are pretty fast paced and exciting. Swami Sivasubramanian's AI and ML session is pretty obvious since it will feature the AWS DeepRacer 2021 Championship Final but others are worth seeing too.
- Network - find time to show up at the AWS Heroes Lounge in the Expo area at the Venetian, ensure I get to meet and talk to other participants, have fun
- Subjects: ML, MLOps - as many as possible
- DeepRacer - whatever I do, I will make sure to include DeepRacer in it!
Sessions I've reseved
Usually these things change throughout the week but right now this is my plan for the sessions.
Monday
- 10:00 am - 12:15 pm - Build secure and compliant ML and data-backed applications (MKT301) - a 300 level workshop focusing on compliance and security of the ML environment
- 12:15 pm - 1:15 pm - Prepare data for ML with ease, speed and accuracy (AIM319) - a 300 level breakout session presenting tools to label, prepare and understand the data and to store, retrieve and share features. I might not make it to this one but I'm hoping to finish the workshop early enough to manage.
- 1:45 pm - 2:45 pm - Boost your bug-bashing skills: Find and fix code faster with AWS BugBust (BGB301) - a 300 level builders' session presenting AWS BugBust initiative where I will participate in an attempt to beat the Guiness World Record for a largest bug fixing challenge.
- 4:00 pm - 5:00 pm - Productizing a serverless MVP (COM201) - a 200 level breakout session on how to turn an MVP into a working product
- 5:30 pm - 6:30 pm - Rightsizing SageMaker compute instances for ML model training & inference (AIM405) - A chalk talk on how to evaluate your needs for resources and which compute options can satisfy them
Tuesday
- 8:30 am - 10:30 am - Adam Selipsky Keynote (KYN002) - a keynote by the AWS CEO
- 11:45 am - 2:00 pm Boost the value of your media content with ML-powered search (AIM315) - a 300 level workshop featuring extraction of metadata from media content and making it available for search, discovery and editing
- 2:45 pm - 3:45 pm - Improve ML productivity through better feature engineering (AIM411) - a 400 level chalk talk about the Amazon SageMaker Feature Store
- 5:00 pm - 7:15 pm - Develop your ML project with Amazon SageMaker (AIM402) - a 400 level workshop using Amazon SageMaker Everything™ for development of an ML project
Wednesday
- 8:30 am - 10:30 am - Swami Sivasubramanian Keynote (KYN003) - a keynote by the VP of Amazon Machine Learning. This will involve the AWS Deepracer Championship Final
- 11:30 am - 1:45 pm - Accelerate science by unifying data silos across the enterprise (LFS304) - a 300 level workshop featuring tools like AWS Glue, Amazon Athena, AWS Lake Formation, Amazon S3, Amazon QuickSight and Amazon Neptune to build a scalable data mesh
- 2:30 pm - 4:45 pm - Create, automate and manage end-to-end ML workflows at scale (AIM401) - a 400 level workshop mainly focusing on Amazon SageMaker Pipelines
- 5:30 pm - 7:45 pm - Create and train ML models with ease using Amazon Redshift ML (ANT205) - a 200 level workshop presenting usage Amazon Redshift to build a data warehouse and gain insights into the data
- 7:45 pm - 8:45 pm - Gain greater visibility and transparency into your ML models (AIM322) - a 300 level chalk talk featuring Amazon SageMaker Clarify to gain greater understanding of a model
Thursday
- 8:30 am - 10:30 am - Werner Vogels Keynote (KYN005) - a keynote by the AWS CTO
- 11:30 am - 1:45 pm - Build an intelligent document processing solution for claims adjudication (AIM318) - a 300 level workshop presenting a Document Understanding Solution for Claims which uses Amazon Textract and Amazon Comprehend to extract important categories into a formatted template
- 2:30 pm - 3:30 pm - Implementing MLOps practices with Amazon SageMaker, featuring Vanguard (AIM320) - a 300 level breakout session showcasing MLOps features in Amazon SageMaker offering
- 4:00 pm - 5:00 pm - Deep learning applications with TensorFlow (AIM412) - a 400 level chalk talk presenting ideas on how Amazon SageMaker can help you speed up Deep learning with TensorFlow
Friday
- 8:30 am - 10:45 am - Learn the basics of ML through hands-on projects (DPR204) - a 200 level DeepRacer workshop
- 10:45 am - 11:45 am - Explore, analyze and process data using Jupyter notebooks (AIM324) - a 300 level chalk talk presenting how to work with Jupyter notebook through Amazon SageMaker
Networking
I plan to attend some of the evening activities including AWS re:Play and visit the AWS Heroes Lounge at the Expo area at the Venetian. In the past I've found meals a great opportunity to get to know people and learn about interesting sessions happening. I will also take place in the live AWS DeepRacer race on Tuesday.
AWS DeepRacer
Here are some sessions featuring DeepRacer:
- DPR201 - 200 level workshop helping you train your first DeepRacer model
- DPR202 - 200 level breakout sessions presenting how you can use AWS DeepRacer to build an inclusive machine learning company culture at your organisation
- DPR203 - 200 level breakout session presenting the AWS DeepRacer open-source robotics projects
- DPR204 - 200 level DeepRacer workshop - learn how to train a model using the AWS DeepRacer console. Also features DeepLens and DeepComposer learning devices
- DPR205 - series of live virtual races where you will see your DeepRacer model race on a track in real time
- DPR301 - 300 level workshop presenting analysis tools for AWS DeepRacer
- DPR401 - 400 level workshop presnting how to use Amazon SageMaker notebooks to train DeepRacer models
Virtual attendance
It's not easy to attend conferences in person nowadays, that's why AWS offer free virtual participation. You can register on https://reinvent.awsevents.com/