Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR

Training

All training courses take place 9:00am - 5:00pm, Monday through Tuesday. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size.

Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass. Training passes do not include access to tutorials.

Monday, July 16 - Tuesday, July 17

9:00am - 5:00pm Monday, July 16 & Tuesday, July 17
Location: F150
Tags: tensorflow
Rich Ott (The Pragmatic Institute)
Average rating: ****.
(4.50, 2 ratings)
Incorporating machine learning capabilities into software or apps is quickly becoming a necessity. Rich Ott leads you through two days of intensive learning that include a review of linear algebra essential to machine learning, an introduction to TensorFlow, and a dive into neural networks. Read more.
9:00am - 5:00pm Monday, July 16 & Tuesday, July 17
Location: F151
Ryan Schneider (VMware)
Average rating: ****.
(4.00, 4 ratings)
Ryan Schneider demonstrates how to build out a distributed system from ideation to production. You'll learn the essentials needed to develop a highly available and fault-tolerant architecture and gain insight into the practicalities of transitioning to this type of application architecture the right way. Read more.