AWS Machine Learning Heroes go above and beyond to share their knowledge on Machine Learning, AWS, and everything in between. Each week, two (2) Machine Learning Heroes from different parts of the world will share a 30-minute talk or participate in a Panel Discussion or 1-on-1 Interview [Language: English]. Anyone can join this FREE event.

Target Audience: Machine Learning Engineers, Data Scientists, Developers, C-level executives, Technical Managers, Students and Professionals who want to learn more about AI and Machine Learning

August 8, 2020

• Bringing your own Container to SageMaker [Alex Schultz]
• How to build an online learning platform that engages and educates students at scale with Amazon Kendra, Amazon Comprehend, Amazon Translate, and more [Cyrus Wong]

August 15, 2020

• Panel Discussion with Cyrus Wong, Rustem Freyzkhanov, and other ML Heroes

August 22, 2020

• ML and AI are subsets of data science, but what determines the intersect? [Or Hiltch]
• Machine Learning with R and SageMaker [Joshua Arvin Lat]

August 29, 2020

• 1-on-1 Interview: Or Hiltch (ML and AI in Real Estate)
• 1-on-1 Interview: Agustinus Nalwan (Building a Production Scale AI/ML System)

September 5, 2020

• Panel Discussion with Lyndon Leggate, Tomasz Ptak, and other ML Heroes

September 12, 2020

• AWS Step Functions + Amazon SageMaker/AWS Batch/AWS Fargate to Organize Deep learning Pipelines [Rustem Feyzkhanov]
• Using Amazon DeepLens, Amazon SageMaker and AWS Serverless to Solve My Wife’s Problem ‘What Should I Wear Today?’ [Agustinus Nalwan]

September 19, 2020

• Building a SageMaker model from Lego [Mike Chambers]
• ML on AWS: EC2 vs containers vs SageMaker [Julien Simon]

September 26, 2020

• Creating and Scaling AI in Enterprises [Matthew Fryer]
• Building a scalable outbound call engine using Amazon Connect and Amazon Lex [Cyrus Wong]

October 3, 2020

• Continuous Delivery for AutoML - CD4AutoML [Olalekan Fuad Elesin]
• Playing with Music Data: Multiple Outcomes ( Predicting Trends?) [Konstantinos Siaterlis]

October 10, 2020

• Getting Started: A run through of all the AWS AI Services [Gillian Armstrong]
• Building Bots with Confidence (Scores) [Gillian McCann]

October 17, 2020

• SageMaker with PyTorch Lightning [Luca Bianchi]
• AWS Step Functions Data Science SDK for Amazon SageMaker [Joshua Arvin Lat]

October 24, 2020

• 1-on-1 Interview [Mike Chambers]
• 1-on-1 Interview [Konstantinos Siaterlis]

October 31, 2020

• 1-on-1 Interview [Julien Simon]
• 1-on-1 Interview [Luca Bianchi]

November 7, 2020

• How to build a Virtual Health and Safety Officer at scale with Amazon Rekognition - Personal Protective Equipment (PPE) detection [Cyrus Wong & Pearly Law (the youngest AWS Community Builder Girl)]
• Training and Deploying Tensorflow, PyTorch, Scikit-learn, MXNet models with Amazon SageMaker

November 14, 2020

• Building a Bot That Plays Videos for My Toddler [Agustinus Nalwan]