Brought to you by NumFOCUS Foundation and O’Reilly Media
The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

JupyterCon training courses

All training courses take place 9:00am - 5:00pm, Tuesday, August 21 and Wednesday, August 22. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size.

To attend training courses, you must be registered for a Platinum pass; participants should plan to attend both days of one 2-day training or two 1-day training courses. Training passes do not include access to tutorials on Wednesday.

9:00am–5:00pm Tuesday, August 21, 2018
1-Day Training Location: Concourse A
Vijay Reddy (Google Cloud)
Average rating: **...
(2.00, 1 rating)
Vijay Reddy walks you through the process of building machine learning models with TensorFlow. You'll learn about data exploration, feature engineering, model creation, training, evaluation, deployment, and more. Read more.
9:00am–5:00pm Tuesday, August 21, 2018
1-Day Training Location: Concourse F
Rachael Tatman (Kaggle)
Average rating: *****
(5.00, 1 rating)
Rachael Tatman shows you how to take an existing research project and make it fully reproducible using Kaggle Kernels. You'll learn best practices for and get hands-on experience with each of the three components necessary for completely reproducible research. Read more.
9:00am - 5:00pm Tuesday, August 21 & Wednesday, August 22
2-Day Training Location: Concourse E Level: Intermediate
Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA)
Average rating: **...
(2.00, 1 rating)
Wenming Ye and Miro Enev offer an overview of deep learning along with hands-on Jupyter labs, demos, and instruction. You'll learn how DL is applied in modern business practice and how to leverage building blocks from the Amazon ML family of AI services. Read more.
9:00am - 5:00pm Tuesday, August 21 & Wednesday, August 22
2-Day Training Location: Concourse B Level: Intermediate
Zachary Glassman (The Data Incubator)
Average rating: ****.
(4.50, 2 ratings)
Zachary Glassman leads a hands-on dive into building intelligent business applications using machine learning, walking you through all the steps of developing a machine learning pipeline. You'll explore data cleaning, feature engineering, model building and evaluation, and deployment and extend these models into two applications using real-world datasets. Read more.
9:00am–5:00pm Wednesday, August 22, 2018
1-Day Training Location: Concourse F
chris cho (Google)
Average rating: ****.
(4.00, 1 rating)
Christopher Cho demonstrates how Kubernetes can be easily leveraged to build a complete deep learning pipeline, including data ingestion and aggregation, preprocessing, ML training, and serving with the mighty Kubernetes APIs. Read more.
9:00am–5:00pm Wednesday, August 22, 2018
1-Day Training Location: Concourse A
Chris Colbert (Project Jupyter), Ian Rose (UC Berkeley), Saul Shanabrook (Quansight)
Chris Colbert, Ian Rose, and Saul Shanabrook walk you through using, extending, and developing custom components for JupyterLab using PhosphorJS, React, JavaScript, TypeScript, and CSS. You'll learn how to make full use of the power features of JupyterLab, customize it to your needs, and develop custom extensions, making complete use of JupyterLab's current capabilities. Read more.