Python for Beginners: Beyond Syntax

Upskilling Seminar, 8 Academic Hours

Python Power: Simplify Your Coding

Why Enroll in this Seminar?

Python is a powerful and popular programming language that has become widely used in various industries due to the growing demand for automation. Its simplicity and versatility make it an ideal choice for beginners and experts alike, enabling people from diverse backgrounds to easily learn and use coding in their work.

In this seminar, you will explore Python scripts, dive into its basic syntax, understand flow control, and even touch on some object-oriented programming (OOP) capabilities. 

By enrolling in this seminar, you will gain a solid foundation of Python and set yourself up for success in your coding journey.

Who should attend?

  • QA Engineers
  • QA Automation Experts
  • Network Managers
  • Data Analysts
  • Data Scientists
  • DevOps Experts

Learning Goals and Outcomes

By the end of the seminar, participants will:

  • Be able to write and run basic Python scripts.
  • Have a clear understanding of Python’s fundamental concepts and practical applications.

What You'll Get...

Professional Supervisor

This unique seminar was built by a professional team made up of the leading experts in Software Development and AI, with vast knowledge and experience in training too.
Maor Mugrabi

Maor Mugrabi

Head of AI Courses for Software Developers

Maor is a data geek deeply passionate about Artificial Intelligence (AI) and Machine Learning (ML).

Maor is dedicated to helping businesses leverage these technologies effectively. Maor is an entrepreneur, managing his own AI/ML development and consultancy firm. Maor’s work has empowered dozens of companies to innovate and grow through custom AI/ML implementations.

He is also a lecturer at John Bryce, where he passes his knowledge and expertise in Machine Learning and Python to his students. 

Maor holds a Bachelor’s degree in Applied Mathematics from Bar-Ilan University. 

What Do Graduates Have to Say?


  • Introduction to Python
  • Major Data Types: None, boolean, numeric, string, list, tuple, dictionary, set
  • Versions, Tools, and IDEs
  • Flow Control
  • Working with Files
  • Writing and Invoking Functions
  • Basic Python Objects: Classes, instances, and methods
  • Python Types and Collections
  • Functional Programming with Python
  • Lambda Functions and Closures
  • Data Storage and File Handling

Interested in more details?

We’d be happy to answer all your questions!

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