AI, ML, and DSP Design

Course Description This course provides a rigorous, unified foundation in Digital Signal Processing (DSP) theory while simultaneously building a professional Python-based prototyping and analysis workflow. It delivers a tightly sequenced progression from first principles to production-ready Python tooling. Beginning with the mathematics of discrete-time signals, the course progresses through frequency-domain analysis, filter design, multirate systems, […]

Course Description This course develops systematic and detailed understanding of the Altera FPGA device family and the Quartus Prime Pro ecosystem as applied to AI inference acceleration. Participants progress from FPGA fabric primitives (ALMs, DSP blocks, M20K SRAM, HBM2e) through the Agilex AI Tensor block architecture, memory subsystem design, AXI4 interfaces, and structured performance benchmarking […]

Course Description This course provides comprehensive, hands-on expertise with the Altera FPGA AI Suite — the end-to-end toolchain for generating AI accelerators targeting specific latency, throughput, and power requirements on Agilex FPGA devices. Custom models using the OpenVINO Model Optimizer and custom extension framework is also explored. Course Duration: 2 Days