Vitis™ FastTrack: Session 2 – AI
Vitis™ FastTrack: Session 2 – AI
DEPRECATED COURSE: This course is older and no longer offered with our regular course list. It is only available as a private class.
BLT’s Vitis™ FastTrack series demonstrates the tools and techniques required for both software and hardware accelerated design using the Vitis™ Unified Software platform.
Learn how Vitis™ helps accelerate C, C++, and AI applications for cloud, edge, and embedded designs in a single suite. Learn how to migrate existing SDK projects and develop, debug, and profile new or existing C/C++ and RTL applications in the Vitis™ unified software environment targeting both embedded and cloud applications.
Skills Gained
After completing this comprehensive training, you will know how to:
- Implement an effective software design environment for a Xilinx embedded system using the Vitis™ unified software platform
- Describe how the FPGA architecture lends itself to parallel computing
- Understand how to optimize AI models for deployment on an FPGA platform using Vitis™ AI
- Explain how the Vitis™ unified software environment helps software developers focus on application
- Accelerate C, C++, and RTL using the RTL Kernel Wizard
- Debug applications running on embedded systems using Vitis™
Course Outline
Session 1
- Introduction to Hardware Acceleration
- Vitis™ Software Accelerated Libraries
- Introduction to the Vitis™ Unified Software Platform
- Vitis™ IDE Tool Flow -> Vitis™ Command Line Flow
- For pricing and other scheduled sessions see
Vitis™ FastTrack Series
Session 2
- Overview of ML Concepts
- Frameworks supported by Vitis™ AI
- Introduction to the Deep Learning Processor
- AI Quantizer and AI Compiler
- Vitis™ AI Library
- For pricing and other scheduled sessions see
Vitis™ FastTrack Series
Session 3
- Driving the Vitis™ Software Development Tool
- Migrating from SDK to Vitis™
- System Debugger
- For pricing and other scheduled sessions see
Vitis™ FastTrack Series
No Scheduled Sessions – Contact Us to ask about setting one up!
Training Duration:
3 Hours
Who should attend:
- Designers looking to migrate existing designs to the Vitis™ platform
- Developers interested in using FPGAs to accelerate AI inference in the cloud or on the edge
- Software engineers looking to accelerate C, C++, and RTL solutions using Vitis™ and FPGAs.