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Intel oneAPI Virtual Workshops Series – Artificial Intelligence on Intel Platforms using Intel oneAPI AI Analytics Toolkit & OpenVINO

June 15

Free

Artificial Intelligence on Intel® Platforms using Intel® oneAPI AI Analytics Toolkit & OpenVINO

During this one day online workshop, you will learn actionable knowledge about how to get started with Artificial Intelligence, including classical Machine Learning as well as Deep Learning. The sessions are presented by senior AI software engineers from Intel and experts from the industry who will introduce you to the tools and practices needed to get the highest performance in AI training and inference on Intel processor based systems.

This unique technical workshop is free to attend. Please register to reserve a seat.

The Workshop starts June 08th, 2021 at 10:00 CEST (Berlin, Paris, Stockholm).

This unique technical workshop is free to attend. Please register to reserve a seat.

AGENDA – June 15th, 2021

10:00 CET
Introduction: Hardware acceleration for AI and Intel® oneAPI AI Analytics Toolkit
Dr. Séverine Habert, Senior AI Engineer, Intel Software
In this session, we will first introduce the hardware features that are powering AI on Intel, we will then get a first glance at the software stack harnessing them, namely the Intel® oneAPI AI Analytics Toolkit.

10:45 CET
How to accelerate Classical Machine Learning on Intel Architecture
Roy Allela, Senior AI Engineer, Intel Software
In this session, we will cover the Intel-optimized libraries for Machine Learning. Python* is currently ranked as the most popular programming language and is widely used in Data Science and Machine Learning. We will begin by covering the Intel® Distribution for Python and its optimizations. We will then cover the optimizations for ML Python packages such as Modin, Intel® Extension for Scikit-learn and XGBoost.
The presentations will be accompanied with demos to showcase the performance speedup

12:00 CET
Optimize Deep Learning on Intel – Same code just faster!
Shailen Sobhee, Senior AI Engineer, Intel Software
In this session, we present to you what is behind the scenes of Deep Learning with the highly-optimized Intel® oneDNN library in order to get the best-in-class performance on Intel hardware. We then show you Intel® oneDNN in action in DL frameworks such as the Intel-optimized TensorFlow, Intel-optimized PyTorch and the Intel® Extension for PyTorch (IPEX).

13:00 CET
Lunch Break

13:30 CET
Customer presentation by TNG Technology Consulting

14:00 CET
Easily speed up Deep Learning inference – Write once deploy anywhere!
Dr. Séverine Habert, Senior AI Engineer, Intel Software
In this session, we will showcase the Intel® Distribution of OpenVINO™ Toolkit that allows you to optimize for high-performance inference models that you trained with TensorFlow* or with PyTorch*. We will demonstrate how to use it to write once and deploy on multiple Intel hardware.

15:00 CET
Customer presentation by Wahtari

15:30 CET
Build the best models with SigOpt
Tobias Andreasen, Senior AI Engineer, SigOpt Team, Intel Software
SigOpt is a model development platform that makes it easy to track runs, visualize training, and scale hyperparameter optimization for any type of model built with any library on any infrastructure.

16:00 CET
Distributed Training
Shailen Sobhee, Senior AI Engineer, Intel Software
In this session, we first present to you the benefits and reasons of distributing (also known as scaling out) an AI workload on more than one compute node. We show you how this is done and what are the caveats you need to pay attention to maintain scaling performance and model accuracy.

16:45 CET
Questions & Answers

Learn more about Intel oneAPI Base & HPC Toolkit

Register here for free

Details

Date:
June 15
Cost:
Free
Event Category:

Venue

Online

Organizer

Alfasoft / Intel

Event Conditions

Course registration is binding. Upon cancellation more than 8 working days before the course start date, we invoice 50% of the course fee. Upon cancellation less than 8 working days before the course start date, we invoice the full course fee. Click here to read the full Terms and Conditions!