Webinars and Workshops

Sharing practical experiences, solutions and best practices on AI and ML

1 (room cap.: 200)

Sep 02

Object Detection with AWS DeepLens and Sagemaker

 2020-09-02 18:00 PT | Agustinus Nalwan
Build object detection application using AWS DeepLens and Sagemaker

26 (room cap.: 100)

Aug 25

Loading Binary Data to Numpy Pandas

 2020-08-25 18:00 PT | Chris Maierle
Tutorial a super-fast custom data loader for NumPy and Pandas

68 (room cap.: 200)

Aug 18

Workshop: Streaming data with Elasticsearch and Kafka

 2020-08-18 09:30 PT | Zeke Dean
Exploring climate data trends using Elasticsearch, Kafka, and Streaming

255 (room cap.: 600)

Aug 14

MLOps Global Summit 2020

 2020-08-14 01:00 PT | 15+ Speakers
A full-day (20hours), interactive event focusing on ML in production

75 (room cap.: 200)

Aug 10

Explainable AI Workflows using Python

 2020-08-10 10:00 PT | Austin Eovito
Using semi-automated and open source software for explainable AI workflow

67 (room cap.: 100)

Aug 05

AI in Practice - Modern Code Analysis

 2020-08-05 18:00 PT | Frank Fischer
Use AI to improve software quality by code analysis

103 (room cap.: 200)

Aug 05

Pairing Kafka with Other Key Open Source Tools for Enterprise-Grade Messaging

 2020-08-05 09:30 PT | Zeke Dean
Overview of key solutions in the Kafka ecosystem

181 (room cap.: 200)

Ended

Tools for Machine Learning Interactive Visualization

 2020-08-04 12:00 PT | James&Randy
Two talks on visualization tools by Google and Streamlit

291 (room cap.: 300)

Ended

Workshop: Real World Reinforcement Learning by Microsoft

 2020-08-03 10:00 PT | Microsoft Team
Hands-on workshop to learn reinforcement learning and personalization

177 (room cap.: 200)

Ended

Workshop: Build a DL Prediction System Using Keras and TensorFlow

 2020-08-01 01:00 PT | Derrick Mwiti
Tutorial how to build deep learning project with keras and tensorflow

98 (room cap.: 200)

Ended

Robotic Test Automation - is it really possible

 2020-07-29 18:00 PT | Syed Hamid
Demonstrate how to auto-generate test cases for missing coverage, auto run, and auto analysis

191 (room cap.: 200)

Ended

Reshape Data Lake and Intro to HTAP

 2020-07-28 12:00 PT | Eric& Liquan
Two tech talks on data lake and data infra

102 (room cap.: 200)

Ended

Why the Open Distro of Elasticsearch is Enterprise-Ready

 2020-07-28 09:30 PT | Mussa Shirazi
Overview of Open Distro for Elasticsearch

201 (room cap.: 200)

Ended

Privacy-Preserving Machine Learning

 2020-07-27 10:00 PT | Romeo Kienzler
Use federated learning and homomorphic encryption for AI privacy

407 (room cap.: 425)

Ended

Workshop: Explanations and ML Pipelines - ML in Production

 2020-07-23 10:00 PT | Bindu&Colin
Learn and build explainable AI and pipelines

257 (room cap.: 300)

Ended

TensorFlow Ecosystem and Tooling

 2020-07-22 10:00 PT | Luiz Martins
Overview available tools to make deep learning easier and productive

690 (room cap.: 700)

Ended

Bootcamp: Build AI/ML Pipeline with NLP, TensorFlow, SageMaker

 2020-07-20 21:00 PT | Chris&Antje
Full day bootcamp to build an End-to-End Pipeline with Amazon SageMaker

262 (room cap.: 300)

Ended

Workshop: Build Image Classifier in Tensorflow.js

 2020-07-17 09:30 PT | Jason&Rising
Build real time image classifier using transfer learning in tensorflow.js

259 (room cap.: 300)

Ended

Recommender Systems and Deep Models

 2020-07-16 18:00 PT | Moumita Bhattacharya
Overview and lessons learnt on building recommender systems with neural network at Etsy

183 (room cap.: 200)

Ended

Big Data Platform at Lyft and Workday

 2020-07-14 12:00 PT | Andrey&Lei
Share experiences and best practices on building data processing platform

227 (room cap.: 250)

Ended

Big Data and AI in Fighting Against COVID-19

 2020-07-08 10:00 PT | Andrew Zhang
Using NLP, BERT and data lake technology to fight against coronavirus

200 (room cap.: 200)

Ended

Building a Scalable Experimentation Platform

 2020-07-02 12:00 PT | Alexander Ivaniuk
Evolution and principles of the EXP platform at LinkedIn

179 (room cap.: 200)

Ended

Cloud AI Services: What they are and how to use them

 2020-06-29 14:00 PT | Karl Weinmeister(Google)
Use existing AI services versus training your own model

111 (room cap.: 200)

Ended

Monitor Kubernetes Logs with Opendistro for Elasticsearch and EFK

 2020-06-29 09:30 PT | Mussa Shirazi
Learn practices on mointoring Kubernetes logs, with live demo

431 (room cap.: 450)

Ended

Distributed Processing for Machine Learning Production Pipelines

 2020-06-25 09:00 PT | Robert&Raza
Learn production ML with TFX, Flink and Beam

106 (room cap.: 200)

Ended

[Show and Tell] Build a Classifier using Tensorflow

 2020-06-24 17:00 PT | Chris Foo
Share a project to build a Jira bug classifier with DNN and Tensorflow

202 (room cap.: 250)

Ended

Workshop: OSS Engineering with Apache Kafka

 2020-06-19 09:30 PT | Zeke Dean
3-hours workshop for Open Source Solution Engineering with Kafka, Elasticsearch, and Connectors

298 (room cap.: 300)

Ended

Feature Powered by Apache Beam – Beyond Lambda

 2020-06-17 09:45 PT | Kobe Feng
Learn how eBay builds feature pipelines with Apache Beam

281 (room cap.: 300)

Ended

Accelerating Machine Learning with RAPIDS

 2020-06-15 09:45 PT | Akshit Arora
Perform feature engineering and train machine learning models at scale

425 (room cap.: 450)

Ended

Workshop: Large Scale Real Time Deep Learning Recommender

 2020-06-12 10:00 PT | Bindu&Siddartha
2-hours workshop to learn and build deep learning based recommendation system

211 (room cap.: 200)

Ended

Open Source ML platform

 2020-06-08 12:00 PT | Neil&Eason
Two tech talks: Determined Open Source ML platform and Migrate Hive to Delta Lake

219 (room cap.: 300)

Ended

30 Golden Rules of Deep Learning Performance

 2020-06-01 10:00 PT | Anirudh Koul
A myriad of tricks that step-by-step improve the efficiency of deep learning pipelines

326 (room cap.: 325)

Ended

Workshop: AutoML Core Concepts and Hands-On Exercise

 2020-05-28 10:00 PT | Bindu&Colin
2-hours workshop to learn and build models with AutoML

210 (room cap.: 350)

Ended

The Best of Both Worlds: Unlocking the Power of Apache Beam with Apache Flink

 2020-05-27 10:00 PT | Maximilian Michels
Learn Apache Beam with Apache Flink

259 (room cap.: 275)

Ended

Workshop: Practice on Apache Kafka

 2020-05-20 13:30 PT | Zeke Dean
3-hours hands-on workshop to learn and practice on Kafka

273 (room cap.: 350)

Ended

Apache Beam everywhere. An introduction to the Spark runner

 2020-05-20 10:00 PT | Ismaël Mejía
Learn Spark runner with Apache Beam

319 (room cap.: 325)

Ended

Introduction to AutoML

 2020-05-18 10:00 PT | Paco Nathan
Deep analysis of AutoML projects and research efforts and how to get started

340 (room cap.: 350)

Ended

Best practices towards a production-ready pipeline with Apache Beam

 2020-05-13 10:00 PT | Pablo Estrada
Learn to build production-ready pipeline

300 (room cap.: 300)

Ended

Highly-scalable RL Library for Real-world Applications

 2020-05-11 10:00 PT | Dean Wampler
How to scale applications from a laptop to cloud with reinforcement learning

400 (room cap.: 400)

Ended

Big Data Analytics: An Interactive Introduction to Apache Beam

 2020-05-06 10:00 PT | Samuel and Ning
Learn Apache Beam by live coding pipeline using COVID-19 data

277 (room cap.: 350)

Ended

Making Reinforcement Learning Practical with AWS DeepRacer

 2020-05-01 10:00 PT | Lyndon Legggate
Step-by-step demonstration to up level RL skills through autonomous driving

331 (room cap.: 350)

Ended

Troubleshooting Deep Neural Networks

 2020-04-30 13:00 PT | Josh Tobin
A field guide to fix your model

371 (room cap.: 371)

Ended

AWS AI/ML Virtual Community Tour #1: Computer Vision Models

 2020-04-29 18:00 PT | Ramine Tinati
Build robust computer vision models for object detection and classification

400 (room cap.: 400)

Ended

Workshop: Unsupervised Learning and DL-Based Forecasting

 2020-04-23 10:00 PT | Austin&Bindu
2-hours workshop to learn deep learning based anomaly detection and time-series forecasting

212 (room cap.: 300)

Ended

Causal Inference in Data Science and Machine Learning

 2020-04-20 10:00 PT | Bryant Chen
Intro on causal inference with real-world examples

279 (room cap.: 300)

Ended

Running Kafka on Kubernetes the Easy Way

 2020-04-16 10:00 PT | Mussa Shirazi
Review different approaches for running Kafka on Kubernetes, with live demo

323 (room cap.: 323)

Ended

Workshop: Streaming data with Cassandra and Kafka

 2020-04-14 09:30 PT | Zeke Dean
3-hours workshop to learn streaming data with apache cassandra, Kafka and Elasticsearch

172 (room cap.: 300)

Ended

Real-time, Contextual and Personalized Recommendations

 2020-04-10 10:00 PT | Dhivya Rajprasad
Use real stream of events with minimal data to build recommendation system

265 (room cap.: 350)

Ended

Apache Airflow Tech Talk #1

 2020-04-08 10:00 PT | Harish Gaggar
Running a data pipeline infrastructure with 100s of DAGs

400 (room cap.: 400)

Ended

Deep Learning on Mobile Device

 2020-04-06 10:00 PT | Siddha Ganju
Learn how to practically bring the power of CNN and deep learning to memory and power-constrained mobile devices

350 (room cap.: 350)

Ended

Automated Data Visualization and Machine Learning

 2020-04-03 10:00 PT | Ram Seshadri
Learn techniques to faster time to insights using automated data visualization and machine learning

251 (room cap.: 250)

Ended

Workshop: Practices on Apache Cassandra

 2020-03-26 09:30 PT | Ben Bromhead
3-hours workshop to learn apache cassandra with code exercises

113 (room cap.: 200)

Ended

ML Optimization Algorithms for Product Experience

 2020-03-17 10:00 PT | Milind Kopikare
How apply machine learning to innovate product experience

106 (room cap.: 200)

Ended

Interpretable Machine Learning Models

 2020-03-12 10:00 PT | Soma Bhattacharya
Pitfalls in using widely popular ML algorithms and how to address

195 (room cap.: 200)

Ended

Workshop: build deep learning based predictive models

 2020-03-10 18:00 PT | Austin&Bindu
Science and math behind predictive modeling with code labs

191 (room cap.: 200)

Ended

Machine Learning with Code Series 4 - kNN

 2020-03-04 10:00 PT | Anindita Sengupta
Learn machine learning by coding models and apps

192 (room cap.: 200)

Ended

Beginner Guide on Kaggle

 2020-02-27 09:00 PT | David Tang
Step-by-step guide to improve data science skills on Kaggle

155 (room cap.: 200)

Ended

Google AI workshop #2: Machine Learning and NLP

 2020-01-04 10:00 PT | Bill Liu
Hands-on workshop to learn ML, TF and NLP on Google Cloud

138 (room cap.: 200)

Ended

Distributing Deep Learning

 2019-12-03 10:00 PT | Siddartha Naidu
Lessons from supercomputing systems in the deep learning

158 (room cap.: 200)

Ended

Google AI workshop: Machine Learning and NLP

 2019-11-19 10:00 PT | Bill Liu
Hands-on workshop to learn ML and NLP on Google Cloud Platform

494 (room cap.: 200)

Ended

Uber Deep learning applications in NLP and Conversational AI

 2019-10-16 10:00 PT | Huaixu Zheng
Lessons learned while implementing Deep Learning/NLP solutions

652 (room cap.: 200)

Ended

Automated Data Visualization and Machine Learning

 2019-08-16 10:00 PT | Ram Seshadri
Learn techniques to faster time to insights using Automated DataViz and Machine Learning

419 (room cap.: 200)

Ended

Explainability and Bias in AI

 2019-08-09 10:00 PT | Naveen Govindarajulu
An introduction to explainability and bias in machine learning

424 (room cap.: 200)

Ended

An Introduction to Neural Architecture Search

 2019-07-19 10:00 PT | Colin White
A survey of the NAS, including details for RL and Bayesian optimization

453 (room cap.: 200)

Ended

Build and integrate AI features into applications

 2019-07-16 10:00 PT | Nisha Talagala
Machine learning lifecycle in practice

444 (room cap.: 200)

Ended

NLP: Streaming Sentiment Analysis of Live Events

 2019-07-11 10:00 PT | Andrew Larimer
Architecture and analysis of a streaming sentiment analysis pipeline

320 (room cap.: 200)

Ended

ML-Agents: Enabling Learned Behaviors with Reinforcement Learning

 2019-06-19 10:00 PT | Ervin Teng
Train reinforcement learning models to control behaviors

490 (room cap.: 200)

Ended

Machine Learning with Code Series 1 - Linear Regression

2019-06-05 10:00 PT | Anindita Sengupta
Workshop to learn machine learning by coding models and apps

245 (room cap.: 200)

Ended

Data Streams Infrastructure with Cruise Control at LinkedIn

 2019-05-17 10:00 PT | Kun Du
Share how we alleviate the management overhead of large-scale Kafka clusters at LinkedIn

336 (room cap.: 100)

Ended

Deep Learning on Mobile Device

 2019-05-08 10:00 PT | Siddha Ganju
Learn how to practically bring the power of CNN and deep learning to memory and power-constrained mobile devices

250 (room cap.: 100)

Ended

TransmogrifAI, Open Sourced AutoML By Salesforce

 2019-05-02 10:00 PT | Matthew Tovbin
Deep dive autoML tech and the end to end automated ML library

404 (room cap.: 200)

Ended

Open Source Data Processing Engine for TensorFlow at LinkedIn

 2019-04-23 10:00 PT | Xuhong Zhang
Overview the techniques to address data processing issues and data ready for tensorflow

280 (room cap.: 200)

Ended

Distributed Deep Learning Jobs on Hadoop

 2019-04-18 18:00 PT | Keqiu Hu
Manage distributed deep learning tensorflow jobs with GPUs on Hadoop clusters

757 (room cap.: 200)

Ended

AutoML by Google Brain

 2019-04-12 10:00 PT | Yifeng Lu
Deep dive into Google AutoML technology and how to design and build systems with it

514 (room cap.: 200)

Ended

Get started with Machine Learning and Deep Learning

 2019-04-11 18:00 PT | Francesco Mosconi
Practical steps to start on machine learning and deep learning projects

372 (room cap.: 300)

Ended

Machine Learning in Databases

 2019-03-06 10:00 PT | Tyler Bettilyon
Machine Learning in Databases: Learned Indexes, Hash Tables, and B-Trees

252 (room cap.: 300)

Ended

An Optimal Transportation View of Generative Adversarial Networks

 2019-02-28 18:00 PT | David Gu
Geometric interpretation to optimal mass transportation theory, explain Monge-Ampere equation and GAN model

112 (room cap.: 300)

Ended

Computer vision on mobile device and ML for document understanding

 2019-02-27 18:30 PT | Sam, Henry, Vivek
Livestream tech talks Computer vision on mobile device by facebook and Multi-stage ML by workday

370 (room cap.: 300)

Ended

Understanding Machine Learning

 2019-02-15 10:00 PT | Jason Mayes
High-level overview of machine learning and how deep neural networks work

470 (room cap.: 300)

Ended

Dimension reduction: From modelling to visualization

 2019-02-08 10:00 PT | Ali Madani
learn dimension reduction methods and implement them for feature selection or visualization

223 (room cap.: 300)

Ended

Livestream: Streaming and Tensorflow

 2019-02-07 18:30 PT | Tyler...
Apache Beam and TensorFlow Transform, Python Streaming Pipelines with Beam on Flink

244 (room cap.: 300)

Ended

Human Preference Intelligence for AI Driven Ecommerce

 2019-01-22 10:00 PT | Cynthia Holcomb
Leverage AI to build intelligent knowledge platforms

232 (room cap.: 300)

Ended

Adversarial Attacks on AI Systems

 2019-01-18 10:00 PT | Anant Jain
Adversarial attacks on the AI systems, how far we can mitigate these attacks

815 (room cap.: 300)

Ended

Uber Big Data Infra and Machine Learning Platform

 2019-01-16 18:30 PT | Reza and Stepan
Livestream tech talks hosted in SF on uber big data and ML platform

160 (room cap.: 300)

Ended

Data Driven Data Centers

 2019-01-11 10:00 PT | Conan Yang
Leverage AI and big data to build autonomous data center

141 (room cap.: 200)

Ended

Package Management for Machine Learning Models

 2019-01-03 10:00 PT | Garrett Smith
Automating ML operations and packaging and sharing complex ML workflows and artifacts

246 (room cap.: 200)

Ended

Livestream: Deep Learning for Recommendation Systems

 2018-12-17 17:30 PT | Yi Fang
Present recent successful integration of deep learning methods in recommendation systems

291 (room cap.: 200)

Ended

Workshop: Build First AI Powered Chatbot

 2018-12-14 09:00 PT | Sweta Patel
Intro on NLP, conversational interfaces, and work on code lab to develop train a chatbot

197 (room cap.: 200)

Ended

Building GAN with PyTorch

 2018-12-10 10:00 PT | Reza Katebi
Intro to Generative Adversarial Networks, how it works and how to implement it

181 (room cap.: 200)

Ended

Kubeflow+Tensorflow - training and serving models on k8s

 2018-12-07 10:00 PT | Garland Kan
Learn to deploy, train, and serve up a trained model all running in Kubernetes

190 (room cap.: 200)

Ended

Focus on Code, Not Infrastructure, with Google Cloud Functions

 2018-12-04 10:00 PT | Martin Omander
Intro to Google Functions for building scalable public service

389 (room cap.: 200)

Ended

Machine Learning Pipelines at Google

 2018-11-27 10:00 PT | Bradley Jiang
Kubeflow pipelines are reusable end-to-end ML workflows by Google

262 (room cap.: 200)

Ended

AI for Software Testing

 2018-11-20 18:00 PT | Jason Arbon
Jason demonstrates how AI is directly applicable to all aspects of testing, and future of software testing powered by AI

119 (room cap.: 200)

Ended

VR+AI: Body Tracking using Intel Realsense

 2018-11-14 17:30 PT | Philip Krejov
Philip will share some of his work on this CNN with integrated head and controller information approach

151 (room cap.: 200)

Ended

Distributed Machine Learning services

 2018-11-14 10:00 PT | Giorgio Natili
you will learn how to define, build, train, and deploy a machine learning model on the Amazon SageMaker infrastructure

178 (room cap.: 200)

Ended

Next Generation Open Source Data Infra

2018-11-13 18:30 PT | Ryan, Li, and Julien
Livestream 3 tech talks by tech leads from netflix, lyft

173 (room cap.: 200)

Ended

AO: Leveraging AI for Quality & Growth

 2018-11-06 10:00 PT | Olcan Sercinoglu
We look at how AO can help us drive quality improvements & growth in our products and services

97 (room cap.: 200)

Ended

Accelerating Computation of DNN and TonY

 2018-11-01 18:30 PT | LinkedIn
Livestream the meetup event hosted in San Francisco
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