Pyuvm Series Part 4 Python Oops Verification Env Projects

[martinstronis65]

Pyuvm Series Part 4 : Python Oops Verification Env Projects
Published 1/2025
Created by Kumar Khandagle
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 55 Lectures ( 3h 28m ) | Size: 1.13 GB​

Step by Step Guide from Scratch
What you'll learn
Verification of Combinational Circuit
Verification of Sequential Circuit
Verification of UART device
Verification of SPI device with and without slave
Verification of I2C device
Requirements
Fundamentals of Digital Electronics and Verilog
Completion of Python for VLSI Engineer P1, P2 and P3 Course or Fundamentals of Python, Python OOPs & COCOTB
Description
Welcome to our comprehensive course on Class-Based Python Verification Environment for Digital Design! In this dynamic program, participants will delve into the realm of hardware verification, focusing on UART, SPI, DFF, I2C, FIFO, and combinational multiplier Design Under Test (DUT). Leveraging the power of Python and object-oriented programming, this course equips learners with the essential skills to construct robust verification environments for these key digital components.Throughout the course, participants will gain hands-on experience in creating modular and reusable verification components using Python classes. We will explore the intricacies of UART, SPI, DFF, I2C, FIFO, and combinational multiplier behaviors and implement comprehensive testbenches to verify their functionality. Participants will learn how to create comprehensive verification plans, write effective test cases to ensure a thorough and well-documented verification process.By adopting a class-based approach, participants will develop a deep understanding of the underlying design principles and be well-prepared to handle complex verification scenarios.Key topics include building a scalable testbench architecture, crafting effective stimulus generation and response checking mechanisms, and implementing advanced features such as constrained random testing.Join us on this transformative journey, where you will not only gain expertise in class-based Python verification but also foster a holistic understanding of the digital design verification landscape. Elevate your career by mastering the skills necessary to navigate the complexities of modern digital systems and contribute effectively to the success of digital design projects.
Who this course is for
If you're excited about Python and DUT verification with Python, this is the place for you.
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