RF Master: RF Instrument Control

RF Master: RF Instrument Control

  • Course Teacher

    Instructor

    Alan Salari

  • Categories

    RF and Microwave

  • $249.00

    $499.00
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What You Learn:

In this course, you will learn how to set up and automate RF measurements using Python and MATLAB, starting from the fundamentals. You’ll develop skills in:

  • Installing and configuring Python and MATLAB, including the necessary libraries for communication with RF instruments.
  • Understanding the principles of instrument automation, such as using VISA and SCPI commands, to effectively control and communicate with network analyzers and spectrum analyzers.
  • Writing and developing Python and MATLAB scripts for automating instrument control and data acquisition, enabling efficient and repeatable measurement processes.

By the end of the course, you'll have the hands-on knowledge needed to automate RF tests confidently and efficiently.

Key benefits of this course:

  • Remote RF lab
  • Online calculators and learning tools
  • Skills Roadmap
  • One free 1-on-1 meeting with the instructor

Course Description:

This course offers an in-depth exploration of controlling and automating measurements using Python and MATLAB, designed to equip you with essential skills that you can immediately apply in your job or research. You'll gain hands-on experience with essential RF instruments, including network analyzers, spectrum analyzers, and DC power supplies. Starting from the fundamentals of software setup and communication protocols, the course covers step-by-step guidance on writing custom scripts for automating complex measurement processes. By the end of the course, participants will have the confidence and skills to efficiently control these instruments, analyze data, and integrate automated workflows into their own projects. Ideal for engineers looking to enhance their proficiency in RF measurement automation, this course combines practical examples, real-world applications, and expert support to ensure a comprehensive learning experience.

Audience:

This course is designed for:

  • RF engineers, technicians, and students beginning their careers in RF engineering.
  • Professionals from related fields seeking a comprehensive understanding of RF circuit fundamentals.
  • Anyone interested in building foundational knowledge for advanced RF systems or components courses.

Prerequisites:

  • No prior experience with RF, Python, or MATLAB is required, as we start from the basics, guiding you through software and library installation to writing code for instrument control.

Related Courses:

IEEE and Quaxys Certificates:

All of our courses include a Quaxys Certificate of Achievement upon completion. Additionally, we provide an official certificate from IEEE, the world’s largest community of technical professionals, delivered via email once participants meet the course requirements.

Each Quaxys course adheres to IEEE's rigorous standards for educational excellence and has been thoroughly reviewed and approved by IEEE. Participants who successfully complete the course modules and quizzes will earn Continuing Education Units (CEUs) and Professional Development Hours (PDHs), enhancing their professional qualifications.

 

Skills Roadmap


Tap into the knowledge exclusive to world-class enterprises, propelling your career and reshaping the future of your company. With our skills roadmap, you'll know exactly what to learn to maximize the impact on your career.




Career Ladder


Quaxys accelerates RF engineers' career growth, helping them advance up the ladder as quickly as possible.


Alan Salari

RF Engineer | Quantum physicist | Author

Instructor

Alan Salari is an experimental quantum physicist and microwave engineer actively involved in developing cutting-edge technologies. With extensive experience gained from working at leading industrial entities such as Microsoft, Hughes Network Systems, Quantum Circuits Inc., and Fraunhofer Institute, he has contributed to diverse fields: superconducting qubits, ultracold atomic gases, pixel detectors for the Large Hadron Collider (LHC), microwave plasma generators, and radar and satellite communication systems. Alan is a senior member of IEEE, the Quantum Economic Development Consortium (QED-C), and the Mid-Atlantic Quantum Alliance. Notably, he has been honored with numerous awards from esteemed organizations, including the National Science Foundation (NSF); Discovery Partners Institute (DPI), Chicago; the Alexander von Humboldt Foundation; the German Ministry of Economic Affairs and Energy (EXIST Gründerstipendium); and Siemens AG.


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