FPGA Chip Design and Intelligent Hardware Development
FPGA Chip Design and Intelligent Hardware Development
FPGA Chip Design and Intelligent Hardware Development
This course introduces the fundamentals and applications of FPGA (Field Programmable Gate Array) technology. From basic logic gates to advanced embedded system development using AMD-Xilinx PYNQ platforms, students will gain hands-on experience in designing programmable chips for real-world smart applications..
This course introduces the fundamentals and applications of FPGA (Field Programmable Gate Array) technology. From basic logic gates to advanced embedded system development using AMD-Xilinx PYNQ platforms, students will gain hands-on experience in designing programmable chips for real-world smart applications..
This course introduces the fundamentals and applications of FPGA (Field Programmable Gate Array) technology. From basic logic gates to advanced embedded system development using AMD-Xilinx PYNQ platforms, students will gain hands-on experience in designing programmable chips for real-world smart applications..
Target Student
12+
Category
FPGA
Number of Session
Session Duration
Course Description
Course Description
Course Description
The FPGA Chip Design and Intelligent Hardware Development course provides a progressive pathway into modern digital system design. FPGA devices use programmable logic gates and look-up tables to create application-specific accelerators, making them essential in energy-efficient, high-performance computing environments.
This course starts with foundational digital circuit principles suitable for students as young as 8 years old, including transistor logic, logic gate construction, and basic circuit optimization. As learners advance, they will engage in practical applications like motor control and LED matrix display using combinational logic.
More advanced modules target students aged 12 and above, integrating Python programming, image processing using OpenCV, and embedded system development on AMD-Xilinx PYNQ boards. Participants will design, simulate, and deploy an FPGA-based defect detection system, simulating real-world industrial applications.
The FPGA Chip Design and Intelligent Hardware Development course provides a progressive pathway into modern digital system design. FPGA devices use programmable logic gates and look-up tables to create application-specific accelerators, making them essential in energy-efficient, high-performance computing environments.
This course starts with foundational digital circuit principles suitable for students as young as 8 years old, including transistor logic, logic gate construction, and basic circuit optimization. As learners advance, they will engage in practical applications like motor control and LED matrix display using combinational logic.
More advanced modules target students aged 12 and above, integrating Python programming, image processing using OpenCV, and embedded system development on AMD-Xilinx PYNQ boards. Participants will design, simulate, and deploy an FPGA-based defect detection system, simulating real-world industrial applications.
The FPGA Chip Design and Intelligent Hardware Development course provides a progressive pathway into modern digital system design. FPGA devices use programmable logic gates and look-up tables to create application-specific accelerators, making them essential in energy-efficient, high-performance computing environments.
This course starts with foundational digital circuit principles suitable for students as young as 8 years old, including transistor logic, logic gate construction, and basic circuit optimization. As learners advance, they will engage in practical applications like motor control and LED matrix display using combinational logic.
More advanced modules target students aged 12 and above, integrating Python programming, image processing using OpenCV, and embedded system development on AMD-Xilinx PYNQ boards. Participants will design, simulate, and deploy an FPGA-based defect detection system, simulating real-world industrial applications.
Highlights
Highlights
Highlights
Beginner-friendly entry into FPGA logic design
Step-by-step progression from transistor theory to chip-level design
Verilog-based digital circuit design using FPGA000 and FPGA001 modules
Practical smart device projects such as light-sensitive controllers and motor drivers
Integration of Python and OpenCV for image analysis applications
Hands-on experience with AMD Xilinx PYNQ boards and Vivado toolchain
Project-based learning: design and deploy a PCB defect detection system
Certification course co-developed with AMD and Avnet partners
Beginner-friendly entry into FPGA logic design
Step-by-step progression from transistor theory to chip-level design
Verilog-based digital circuit design using FPGA000 and FPGA001 modules
Practical smart device projects such as light-sensitive controllers and motor drivers
Integration of Python and OpenCV for image analysis applications
Hands-on experience with AMD Xilinx PYNQ boards and Vivado toolchain
Project-based learning: design and deploy a PCB defect detection system
Certification course co-developed with AMD and Avnet partners
Beginner-friendly entry into FPGA logic design
Step-by-step progression from transistor theory to chip-level design
Verilog-based digital circuit design using FPGA000 and FPGA001 modules
Practical smart device projects such as light-sensitive controllers and motor drivers
Integration of Python and OpenCV for image analysis applications
Hands-on experience with AMD Xilinx PYNQ boards and Vivado toolchain
Project-based learning: design and deploy a PCB defect detection system
Certification course co-developed with AMD and Avnet partners
Learning Outcome
Learning Outcome
Learning Outcome
Understand and apply the principles of transistor operation and logic gate design
Build and optimize combinational and sequential digital circuits
Write Verilog code to simulate and deploy FPGA designs
Use hexadecimal logic for controlling hardware components
Perform image processing tasks using OpenCV in Python
Develop embedded systems using the AMD PYNQ platform
Apply logic gate principles to real-world applications like motor control and lighting systems
Design, test, and evaluate an FPGA-based intelligent inspection system
Understand and apply the principles of transistor operation and logic gate design
Build and optimize combinational and sequential digital circuits
Write Verilog code to simulate and deploy FPGA designs
Use hexadecimal logic for controlling hardware components
Perform image processing tasks using OpenCV in Python
Develop embedded systems using the AMD PYNQ platform
Apply logic gate principles to real-world applications like motor control and lighting systems
Design, test, and evaluate an FPGA-based intelligent inspection system
Understand and apply the principles of transistor operation and logic gate design
Build and optimize combinational and sequential digital circuits
Write Verilog code to simulate and deploy FPGA designs
Use hexadecimal logic for controlling hardware components
Perform image processing tasks using OpenCV in Python
Develop embedded systems using the AMD PYNQ platform
Apply logic gate principles to real-world applications like motor control and lighting systems
Design, test, and evaluate an FPGA-based intelligent inspection system
Equipment Provided by School
A personal computer (Windows preferred, 8GB RAM minimum)
Stable internet connection for software installation and updates
Notebook and basic stationery for notes and sketches
Python development environment (optional for at-home practice)
A personal computer (Windows preferred, 8GB RAM minimum)
Stable internet connection for software installation and updates
Notebook and basic stationery for notes and sketches
Python development environment (optional for at-home practice)
A personal computer (Windows preferred, 8GB RAM minimum)
Stable internet connection for software installation and updates
Notebook and basic stationery for notes and sketches
Python development environment (optional for at-home practice)
Teaching Materials Provided By Semtron
FPGA development kits (FPGA000, FPGA001 series)
AMD Xilinx PYNQ development board
Access to AMD Vivado Design Suite
Preloaded smart project modules (e.g., smart lighting, motor control, LED matrix)
Logic training boards with transistors and discrete components
Software libraries for Python and OpenCV
Course documentation, project templates, and code examples
Certification materials and exam platform access
FPGA development kits (FPGA000, FPGA001 series)
AMD Xilinx PYNQ development board
Access to AMD Vivado Design Suite
Preloaded smart project modules (e.g., smart lighting, motor control, LED matrix)
Logic training boards with transistors and discrete components
Software libraries for Python and OpenCV
Course documentation, project templates, and code examples
Certification materials and exam platform access
FPGA development kits (FPGA000, FPGA001 series)
AMD Xilinx PYNQ development board
Access to AMD Vivado Design Suite
Preloaded smart project modules (e.g., smart lighting, motor control, LED matrix)
Logic training boards with transistors and discrete components
Software libraries for Python and OpenCV
Course documentation, project templates, and code examples
Certification materials and exam platform access
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