Agenda:
⏱ 2:00 Arrive at AON, find a seat, set up your laptop
🎤 2:15 Qwiklabs Set Up
👨🏻‍💻 3:00 ML Hands-On Lab #1
👩🏻‍💻 3:15 ML Cloud Speech-to-Text, Natural Language Processing and Visualization Using DataFlow, Node.js and BigQuery by Rui Costa, Customer Engineer, Google Cloud
👨🏽‍🏫 4:15 ML Hands-On Lab #2
🍕 4:45 Break for pizza
👩🏽‍🏫 5:15 ML Hands-On Lab #3
👨🏿‍💻 6:15 ML Hands-On Lab #4
☕️ 7:00 Break
👩🏿‍💻 7:15 ML Hands-On Lab #5
⏱ 8:00 Wrap Up

Join us for our Cloud Study Jam!
Get free official Google training and learn new skills!

The focus is a deep-dive into Google's Machine Learning technologies like TensorFlow and ML APIs - ranging from introductory to experienced.

After the Study Jam, you’ll receive:
- 30-days free access to the entire Qwiklabs catalogue to keep developing your skills at home
- 30-days free access to the entire Coursera catalogue to keep developing your skills at home
- a badge for your online profile and additional free month of access to Qwiklabs, if you complete all of the labs in the session’s quest

⏱ Plan to spend 6 hours beginning at 2 pm to complete the quests and earn a badge.

💻 Bring a laptop and charger (PC, Mac or Chromebook)! The labs will run on all of the latest versions of popular browsers. For the best experience, make sure your laptop has Firefox or Chrome installed. Don’t forget your charger.

❗️ Register with your full name and bring an ID to pass security and enter the building. RSVP ends 2 days before the event on Monday, October 28, 2019.

🎤 Title: ML Cloud Speech-to-Text, Natural Language Processing and Visualization Using DataFlow, Node.js and BigQuery

👨🏻 Speaker: Rui Costa, Customer Engineer, Google Cloud

📜 Bio: Rui works with Google Cloud strategic customers and partners to design and implement their technology transformation visions. He also developed the Speech Analysis Framework https://cloud.google.com/solutions/visualize-speech-data-with-framework a tool that enables users to easily ingest audio files, transcribe and analyze speech data, and visualize ML-powered insights. Rui also serves as the AI Coach for Crisis Text Line https://www.crisistextline.org/ advising the Google AI Impact Challenge https://ai.google/social-good/impact-challenge grantee on their ML work.