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Since May 2023
Instructor since May 2023
Translated by GoogleSee original
Course on Digital Circuits: FPGA, VHDL, SYSTEMVERILOG, UVM.
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From 17.76 € /h
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If you're seeking to gain a competitive edge in the VLSI field, you have found the ideal resource. As a seasoned Hardware Design Verification Engineer, I offer my tutoring services to individuals interested in delving into Digital Electronics, as well as FPGA/ASIC/SoC Circuits. Whether you require assistance in Design (VHDL, VERILOG, SYSTEMVERILOG) or Verification (Simulation Synopsys), I am well-equipped to provide the support you need. Please feel free to reach out to me without hesitation.
Location
location type icon
Online from Morocco
About Me
I am a hardware design verification engineer and a PhD student in deep learning and embedded systems, if you are looking for courses on:
digital electronics, design and verification processes, artificial intelligence, machine learning and deep learning, then you are in the right place.

Skills:
• Artificial intelligence, machine learning and deep learning
• Verification methodologies: UVM, C-driven, formal (SVA), OOP, constrained random verification, metric-driven verification, UVM and C based testbenches, code coverage.
• Languages: System Verilog, C, C++, Tcl, Verilog, VHDL, Makefile, Python, XML.
• Simulation: VCS/Synopsys.
• Data management, tracking: SVN, JIRA.
• Flow: verification plan, schedules, VIP, test benches, sequences and test cases, integration tests, coverage, checkers and assertions, regressions.
Education
Doctoral student: Development/optimization of embedded systems and image processing algorithms for the detection of traffic offenses in real time.
Engineer in embedded electronic systems.
Experience / Qualifications
2+ years as a verification engineer.
1 year+ as an automotive software engineer.
Skills:
• Artificial intelligence, machine learning and deep learning
• Verification methodologies: UVM, C-driven, formal (SVA), OOP, constrained random verification, metric-driven verification, UVM and C based testbenches, code coverage.
• Languages: System Verilog, C, C++, Tcl, Verilog, VHDL, Makefile, Python, XML.
• Simulation: VCS/Synopsys.
• Data management, tracking: SVN, JIRA.
• Flow: verification plan, schedules, VIP, test benches, sequences and test cases, integration tests, coverage, checkers and assertions, regressions.
Age
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
The class is taught in
English
French
Arabic
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
The aim of this program is to provide you with the necessary skills and experience to begin your journey and get a head-start in Machine Learning.
Covering the primary types of machine learning, the program offers a comprehensive theoretical understanding of Machine Learning with opportunities to practice using algorithms, methods,
and best practices associated with Machine Learning. You will also have the chance to develop your own projects using relevant open-source frameworks and
libraries and apply your learnings in various courses to a final project.

Whether you are already proficient in Python programming, statistics, and linear algebra, or have a general interest and are willing to learn,
this beginner/intermediate oriented series is suitable for you.
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Hello and Welcome!

I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders.

Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings.

Courses Offered

1. Basic Python Programming
This course is designed for beginners who want to build a solid foundation in Python.
Topics include:
Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets
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I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev
Good-fit Instructor Guarantee
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Contact Mohamed