Certified Professional Python Programmer Level 1 (PCPP1) Course Overview

Certified Professional Python Programmer Level 1 (PCPP1) Course Overview

The PCPP1 – Certified Professional in Python Programming 1 development course is designed to deepen the learner's knowledge of Python and prepare them for professional programming practices. It covers a comprehensive range of topics, from Advanced object-oriented programming, including Classes, Inheritance, Polymorphism, and Metaprogramming, to understanding and applying Python Enhancement Proposals (PEPs) which are essential for writing clean and maintainable code. The course also delves into GUI programming with modules like Tkinter and Pygame, enabling learners to create graphical user interfaces.

Additionally, participants will gain hands-on experience with Network programming, particularly working with RESTful APIs, and File processing, ensuring they can handle data and interact with the web efficiently. Through this development course, learners will become adept at using Python's advanced features, making them well-equipped as a Certified Professional in Python Programming 1. This accreditation will open doors to advanced Python-related job roles and opportunities.

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1,450

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Course Fee 1,450
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1,450 (USD)
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  • Classroom Training fee on request

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Course Advisor

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Simmi Anand

9+ Years Experience

I am Simmi Anand, a Microsoft Certified Trainer, and UiPath Certified Advanced RPA Developer with over 12 years of rich experience in corporate training and the IT sector. I have been working with Koenig Solutions for the past 8+ years, providing quality training on technologies related to Development, Automation and Testing using various Languages (e.g., Python, Java) and Tools e.g., Robotic Process Automation using UiPath and Automation Anywhere. In addition, I also deliver training on Microsoft and Google technologies, including Mobile Application Development for Android, iOS with Swift, Hybrid Mobile Application using PhoneGap, Microsoft SQL Server, Microsoft PowerApps & Flow, Power Platform and PostgreSQL to global and corporate clients.   One reason I enjoy this field and the challenges that come with it is the opportunity to connect with people and solve their IT needs. I am also passionate about learning technologies and gaining solid knowledge about them. I have conducted various onsite training assignments globally with esteemed clients such as Microsoft - India, KPMG, Raw Bank - DRC, FRCI - Mauritius, Google Train the Trainer Project, Infosys, TCS, Wipro, and many others. Associated with Koenig since February-2016.

Target Audience for PCPP1 – Certified Professional in Python Programming 1

The PCPP1 – Certified Professional in Python Programming 1 course is designed for intermediate to advanced Python developers seeking specialization.


  • Software Developers and Programmers who want to master Python
  • Experienced Python Developers aiming for certification
  • IT Professionals looking to enhance their OOP skills in Python
  • Computer Science/Engineering Students with a focus on Python
  • Data Scientists and Analysts wanting to deepen their Python expertise
  • Backend Developers looking to adopt Python
  • DevOps Engineers interested in automating with Python
  • Technical Leads managing Python projects
  • Test Engineers writing automation scripts in Python
  • System Administrators automating tasks with Python scripts
  • Anyone pursuing a career in Python development with a focus on OOP, GUI, or Network Programming


Learning Objectives - What you will Learn in this PCPP1 – Certified Professional in Python Programming 1?

Introduction to Learning Outcomes

The PCPP1 – Certified Professional in Python Programming 1 course is designed to equip participants with advanced knowledge and skills in object-oriented programming, GUI development, network programming, and file processing using Python.

Learning Objectives and Outcomes

  • Understand Object-Oriented Programming: Grasp the concepts of classes, instances, attributes, and methods, and implement them in Python.
  • Data Management: Learn to manipulate class and instance data, including copying objects through shallow and deep operations.
  • Inheritance and Polymorphism: Master how to use inheritance and polymorphism to create flexible and reusable code.
  • Method Types: Differentiate between static, class, and instance methods, and understand when to use each.
  • Abstract Classes: Recognize the use of abstract classes and method overloading in structuring robust Python applications.
  • Design Principles: Compare and contrast composition versus inheritance, and understand the principles behind encapsulation and exception handling.
  • Serialization Techniques: Acquire skills in serializing Python objects with the pickle and shelve modules.
  • Metaprogramming: Implement advanced programming concepts such as decorators and metaclasses to modify program behavior.
  • Python Enhancement Proposals (PEPs): Learn about PEPs for coding conventions, the Zen of Python, and style guides to write clean and maintainable code.
  • Network Programming and APIs: Develop the ability to create RESTful clients, handle CRUD operations, and interact with servers using Python's network programming capabilities.
  • GUI Programming: Gain the know-how to build graphical user interfaces with modules like tkinter and pygame.
  • File Processing: Enhance skills in file management and processing, ensuring efficient data handling within Python applications.

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