Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.

2-Day Training Courses

All training courses take place 9:00am–5:00pm, Monday, April 15–Tuesday, April 16. 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; does not include access to tutorials on Tuesday.

Monday, April 15 - Tuesday, April 16

Add to your personal schedule
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Clinton
Secondary topics:  AI in the Enterprise
Tim Schwuchow (The Data Incubator )
This course is a non-technical overview of AI and data science. You’ll learn common techniques, how to apply them in your organization, and common pitfalls to avoid. Though this course, you’ll pick up the language and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making. Read more.
Add to your personal schedule
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Harlem
Secondary topics:  Deep Learning and Machine Learning tools
Ana Hocevar (The Data Incubator)
PyTorch is a machine learning library for Python that allows users to build deep neural networks with great flexibility. Its easy to use API and seamless use of GPUs make it a sought-after tool for deep learning. This course will introduce the PyTorch workflow and demonstrate how to use it. Students will be equipped with the knowledge to build deep learning models using real-world datasets. Read more.
Add to your personal schedule
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Madison
Secondary topics:  Deep Learning and Machine Learning tools
Dylan Bargteil (The Data Incubator)
The TensorFlow library provides for the use of computational graphs, with automatic parallelization across resources. This architecture is ideal for implementing neural networks. This training will introduce TensorFlow's capabilities in Python. It will move from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications. Read more.
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9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Green Room
Secondary topics:  Deep Learning and Machine Learning tools, Financial Services, Models and Methods, Temporal data and time-series
Francesca Lazzeri (Microsoft)
Francesca Lazzeri will walk you through the core steps for using Azure Machine Learning services to train your machine learning models both locally and on remote compute resources. Read more.
Add to your personal schedule
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Midtown Suite
Secondary topics:  Deep Learning and Machine Learning tools, Models and Methods, Text, Language, and Speech
Delip Rao (R7 Speech Science)
Delip Rao explores natural language processing with deep learning, walking you through neural network architectures and NLP tasks and teaching you how to apply these architectures for those tasks. Read more.