Developing AI Inference Solutions with the Vitis AI Platform
Implement neural networks on cloud and edge platforms using the Vitis™ AI development platform.The emphasis of this course is on:Illustrating the Vitis AI tool flow, including optimization and compilationExploring the...
Course Description
This course teaches how to implement neural networks on cloud and edge platforms using the Vitis™ AI development environment. It covers the Vitis AI tool flow, optimization and compilation, DPU architecture, pre-processing and post-processing optimization using the Vitis AI Library, custom platform creation, application development, and deployment.
The emphasis of this course is on:
- Illustrating the Vitis AI tool flow, including optimization and compilation
- Exploring architectural features of the Deep Learning Processor Unit (DPU)
- Utilizing the Vitis AI Library to optimize pre-processing and post-processing functions
- Creating a custom hardware platform and application
- Deploying a design
Training Duration
19 hours
Additional Information
- Number of Chapters: 14
- Number of Labs: 5
- Number of Demos: 0
- Current Version: 2023.1
What's New
- Focus on TensorFlow 2, PyTorch, and some ONNX
- All labs updated to the latest software versions
Chapters
Chapter 1
- Introduction to the Vitis AI Development Environment
Chapter 2
- Frameworks Supported by the Vitis AI Development Environment
Chapter 3
- Overview of ML Concepts
Chapter 4
- AI Optimizer
Chapter 5
- AI Quantizer and AI Compiler
Chapter 6
- AI Profiler
Chapter 7
- Introduction to the Deep Learning Processor Unit
Chapter 8
- DPUCZX8G Architecture Overview – Zynq Device
Chapter 9
- Vitis AI Library
Chapter 10
- Creating a Custom Hardware Platform with the DPU Using the Vivado Design Suite Flow – Edge
Chapter 11
- Creating a DPU Kernel Using the Vitis Environment Flow – Edge
Chapter 12
- Creating a Vitis Embedded Acceleration Platform
Chapter 13
- Creating a Custom Application (Edge)
Chapter 14
- Developing AI Inference Solutions with the Vitis AI Platform Quiz
Event Schedule
Virtual Learning Environment (Online)
- 21.12. - 22.12.2026 09:00-17:00 — € 1,700.00 excl. VAT Add to cart


