Using Altera® FPGA AI Suite - This instructor-led class is taught in a virtual classroom environment for 1 half day of instruction. To perform the lab exercises, you will connect to a remote computer provided by Altera® FPGA Training and pre-configured with all the necessary tools. Information required to connect to the remote system will be provided during the class. No setup is needed. Course Description The Altera® FPGA AI Suite enables FPGA designers, machine learning engineers, and software developers to create optimized FPGA AI platforms efficiently. The suite's utilities speed up FPGA development for AI inference using familiar and popular industry frameworks such as TensorFlow, PyTorch, and the OpenVINO™ toolkit. It also leverages robust and proven FPGA development flows with Quartus® Prime Software. 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. 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. Explore the features of Digital Signal Processing (DSP) with Artificial Intelligence (AI) Tensor block capabilities of Agilex™ 5 FPGA. Understand how FPGA engineers can integrate the deep learning FPGA inference IP with the Quartus Prime Design Software and Platform Designer Understand how to take a custom or unsupported model from a supported framework and use it with the OpenVINO toolkit and FPGA AI Suite. Skills Required Basic understanding of DSP and AI concepts General understanding of the FPGA architecture Basic knowledge of FPGA design flow Working knowledge of Quartus Prime software Basic knowledge of OpenVINO toolkit If you need assistance with this course, please email fpgatraining@altera.com . Reference Course Code: FPGA_IAISUITE. FPGA_IAISUITE.