DevFest 2021 - AI/ML Edition

For the second year, DevFest AI/ML edition will focus on applied ML engineering practice, ML system design, MLOps, as well as Machine Learning engineers careers. We will bring together over thousands global attendees with inspirational keynotes, deep dive tech talks, and hands-on code labs, and peer networking time as well.

Dec 8, 2021, 5:00 – 10:00 PM

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Key Themes

Career DevelopmentCloudDevFestMachine LearningNetworking

About this event


DevFest is an annual tech conference covering topics that are important to the tech community. It is a worldwide celebration and testament of the impact of Google Developer Groups on developers with the goal to help developers learn and connect as a community to accelerate local economic impact.

For the second year, DevFest AI/ML edition will focus on applied ML engineering practice, ML system design, MLOps, as well as Machine Learning engineers careers. We will bring over thousands global attendees together with inspirational keynotes, deep dive tech talks, and hands-on code labs, and peer networking time as well.

Engage in live tech talks, hands-on sessions where you will learn machine learning, tensorflow, ML in prod. Join us for tech talk sessions, training sessions, live demos, and networking with AI experts and your peers.

Featured Speakers:

  • Valliappa Lak, Google
  • Dale Markowitz, Google
  • Robert Crowe, Google
  • Shreya Shankar, UC Berkeley
  • Toju Duke, Google

Agenda:

  • Keynotes
  • Deep dive tech talk sessions
  • Hands-on code labs
  • ML career talks /women in ML panel
  • Networking and 1:1 office hours
  • Fun activities, Swags, prizes

9:00 AM - 9:45 AM PST (18:00~18:45 CET)

Keynote

Toju Duke, Google

9:50 AM - 10:35 AM PST (18:50~19:35 CET)

Quick and Easy Language on GCP

Dale Markowitz, Google

10:40 AM - 11:25 AM PST (19:40~20:25 CET)

Leveraging Prefabricated Pipelines for MLOps in Vertex AI

Valliappa Lakshmanan (LAK), Google

11:30 AM - 12:15 PM PST (20:30~21:15 CET)

Web ML: Next generation web apps with TensorFlow.js

Jason Mayes, Google

12:20 PM - 1:05 PM PST (21:20~22:05 CET)

Catch Me If You Can -- Keeping up with ML in Production

Shreya Shankar, UC Berkeley

Event website:

http://devfest21.xnextcon.com

Partner communities:

GDG Cloud London, GDG Zurich, GDG Bangalore/Hyderabad, GDG Capital Region, GDG NYC

Organizers

  • Eva-Maria Sofianos

    GDG Bronx

    GDG Organizer

  • Hendrix Tavarez

    Organizer

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