Developing AI Inference Solutions with the Vitis AI Platform

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Course Description

This workshop is designed to cover Inference solution development with the Xilinx Vitis AI. This workshop covers how to use the Vitis AI development platform in conjunction with DNN algorithms, models, inference and training, and frameworks on edge computing platforms. The emphasis of this course is on:

Illustrating the Vitis AI tool flow
Optimizing a model using the AI quantizer and AI compiler
Utilizing the Vitis AI Library to optimize pre-processing and post-processing functions
Deploying a design

This course combines lectures with lab exercises to reinforce the concepts.

Pre-requisites:

Basic knowledge of machine learning concepts
Comfort with the C/C++/Python programming language
Software development flow

Course duration:

3 days (9 hours - 3 hours per day)

What do I gain?

Describe Xilinx machine learning solutions with the Vitis AI development environment
Describe the supported frameworks, network modes, and pre-trained models for cloud and edge applications
Utilize DNN algorithms, models, inference and training, and frameworks on edge computing platforms
Use the Vitis AI quantizer and AI compiler to optimize a trained model
Identify the high-level libraries and APIs that come with the Xilinx Vitis AI Library

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Quick Links

Need More Info ?

Email us: training@coreel.com

Admission Office:

(080) 4197 0445

Front Office:

(080) 4197 0400