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    Mohamed
    Trusted teacher
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    from17.69EUR/ h

    Course on Digital Circuits: FPGA, VHDL, SYSTEMVERILOG, UVM.

    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

    Online via webcam

    General info

    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

    About Me

    Translated by Google. Click to view original.
    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

    Translated by Google. Click to view original.
    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

    Translated by Google. Click to view original.
    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.
    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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    Availability of a typical week

    (GMT -04:00) New York
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    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
    16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
    17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
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    from 17.69€Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since May 2023
    • Phone number verified
    • Google connected

    Availability of a typical week

    (GMT -04:00) New York
    MonTueWedThuFriSatSun
    0              
    1              
    2            Saturday at 2:00  Sunday at 2:00
    3            Saturday at 3:00  Sunday at 3:00
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    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
    16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
    17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
    18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
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    from 17.69€Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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