Sep 9–12, 2019

2-Day Training Courses

All training courses take place 9:00am–5:00pm, Monday, September 9–Tuesday, September 10. 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, September 9 - Tuesday, September 10

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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 111
Robert Schroll (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, September 9 & Tuesday, September 10
Location: 114
Dylan Bargteil (The Data Incubator), Michael Li (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.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 112
Rich Ott (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.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 231 B
Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA)
Machine learning (ML) and deep learning (DL) projects are becoming increasingly common at enterprises and startups alike and have been a key innovation engine for Amazon businesses such as Go, Alexa, and Robotics. In this 2 day training, Wenming Ye (AWS) and Miro Enev (Nvidia) offer a practical next step in DL learning with instructions, demos, and hands-on labs. Read more.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 113
Delip Rao (AI Foundation)
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.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: Market
Amir Issaei (Databricks)
The course covers the fundamentals of neural networks and how to build distributed Keras/TensorFlow models on top of Spark DataFrames. Throughout the class, you will use Keras, TensorFlow, Deep Learning Pipelines, and Horovod to build and tune models. You will also use MLflow to track experiments and manage the machine learning lifecycle. NOTE: This course is taught entirely in Python. Read more.

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