Introduction to the FPGA AI Suite - 35 Minutes FPGA AI Suite enables inference IP generation for Altera® FPGAs. This training starts off with a high-level overview of the software flow for the generation of the IP and the value proposition of the FPGA AI Suite for FPGA AI. This is followed by a more detailed walk-through of the major steps in the flow. The steps are specification of the FPGA resources, throughput, and optimization of the IP using various configuration parameters such as processing element array size. This information is helpful to understand and better use the capabilities of the FPGA AI Suite, prior to downloading the suite. Course Objectives At course completion you will be able to: Understand how data scientists or machine learning engineers can use end-to-end Altera® FPGA AI solutions. Understand how the FPGA AI Suite generates the right-sized AI for your latency, power, and performance needs. Realize how FPGA engineers can integrate the deep learning FPGA inference IP with the Quartus® Prime Pro design software Skills Required Basic knowledge of FPGA design flow Basic understanding of DSP and AI concepts Working knowledge of Altera® Quartus Prime software Some knowledge of OpenVINO™ toolkit Supported by Altera® FPGA family: Agilex™ 5, Agilex™ 7, Agilex™ 3 and Arria® 10 If the audio for the course does not start automatically, press pause and then play on the course player. The transcript of the course audio is available in the Notes or closed captioning (CC) feature of the player. If you need assistance with this course, please email fpgatraining@altera.com Reference Course Code: FPGA_OFPGAAISUITE. FPGA_OFPGAAISUITE. <p>Introduction to the FPGA AI Suite</p>