Python Professional: The OOP and Pro-Tooling Mastery
in Software DevelopmentAbout this Program
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TEKBOD CERTIFICATION
Python Professional: The OOP & Pro-Tooling Mastery
Become a Python Programmer within 8 weeks and elevate your chances of getting hired by our partner companies to work in AI labs when they are sourcing for talents from our alumni pool.
Why Python Programming at Tekbod Institute?
1. Possible job invitation to join AI labs upon program completion.
2. High-value technical skills.
3. Payment of tuition fee in instalments.
4. We’ll help you rewrite your resume using industry-standard formulas that highlight your impact and pass modern screening bots.
5. Learn how to position your profile on LinkedIn so that high-quality recruiters and hiring managers come to you.
6. We help you master the art of the technical interview with mock sessions covering system design, live coding, and behavioral storytelling.
7. We show you exactly where and how to find the "hidden" roles in the current tech landscape.
Syllabus
- Level 1: The Foundations – Master environment setup, VS Code, and the core syntax of variables and dynamic typing.
- Level 2: Logic & Efficiency – Write cleaner code with advanced functions (*args, **kwargs), List Comprehensions, and Lambda functions.
- Level 3: System Architecture (OOP) – Learn to think like a Senior Developer by mastering the Four Pillars of Object-Oriented Programming: Inheritance, Encapsulation, Polymorphism, and Abstraction.
- Level 4: Data & Tooling – Manage real-world data using JSON and CSV files, build custom modules, and handle massive datasets efficiently using Generators.
Commitment
We value your time. This program is designed to be high-impact.
Total Duration: 8 Weeks.
Weekly Commitment: 5–8 hours (Including lessons and hands-on coding challenges).
Project-Based Learning: You won't just attend online classes; you will build projects from scratch.
Admission Requirements
- High school graduate. No specific academic grade required.
- Be able to communicate well in English.
- Ready to commit your time to learning.
- A computer and a working internet connection.
Instructors
You will be taught by highly experienced instructors who have been in the industry and taught for 5+ years. They have master's and doctorate degrees in Computer Science and Information Technology with specialization in Python Programming and Software Development.
Salaries for Python Professionals
Python is the world's most in-demand programming language. By mastering the intermediate concepts in this course—especially OOP and File I/O—you qualify for roles beyond entry-level scripting.
Expected Salaries for Python-Skilled Professionals:
- Junior Python Developer: $75,000 – $95,000/year.
- Automation Engineer: $85,000 – $110,000/year.
- Data Analyst/Engineer: $90,000 – $125,000/year.
Why This Program?
You will learn the "Why" behind codes.
- Learn to handle errors so your apps never crash in production.
- Learn memory management to process millions of rows of data without slowing down your computer.
- Build a portfolio of projects that prove you can handle professional software architecture.
Class Capacity
20 students: Instant/Self Admission
30 students: Through Application for Admission
50 Students: Maximum Capacity
Pay in Instalments
You can pay in instalments by selecting "Pay in Installments"
Comments (0)
In this live class, we will cover all the modules for Week 1
Before writing code, you need a place for the computer to read it. In this section, you will learn how to prepare the environments for Python. You will also learn basic syntax.
Now that you can store data, you need to tell your program how to make decisions and repeat tasks. This is called Control Flow.
In this live class, we will cover all the modules for Week 2
In the real world, we rarely work with single variables. We need "containers" to hold groups of data. Python has four built-in collection types. In this module, you will learn Lists, Tuples, Dictionaries, and Sets
In this live class, we will cover all the modules for Week 3
As your code grows, you shouldn't keep copy-pasting the same logic. Functions allow you to wrap code into a reusable package. They are more than just reusable snippets; they are the primary tool for abstraction. They allow you to define a complex process once and then interact with it using a simple name. In this module, you will learn Functions.
In this live class, we will cover all the modules for Week 4
In this module, we transition from standard control flow to "Pythonic" idioms. These tools allow you to perform data transformations with significantly less code, which is essential for data processing and functional programming.
In intermediate programming, you must assume that things will go wrong. Users will enter strings where numbers are expected, files will be missing, and servers will be down. Professional code handles these "Exceptions" gracefully instead of crashing.
In this live class, we will cover all the modules for Week 5
Up until now, we have used Procedural Programming (writing code like a recipe). As projects get bigger, we use Object-Oriented Programming (OOP) to organize code into reusable "Blueprints." In this module, you will learn OOP.
In this live class, we will cover all the modules for Week 6
In this module, you will learn the "Four Pillars" of OOP, which are the industry-standard strategies for organizing complex code. To write professional Python code, you should understand the four concepts.
In this live class, we will cover all the modules for Week 7
In this module, we move away from writing scripts in a single file and learn how to organize code into a professional, scalable structure. This is essential for collaborating with other developers and using the millions of libraries available in the Python ecosystem.
In this module, we focus on making your programs interact with the "real world" by persisting data. This is where your logic meets the file system.
In this module, we explore how Python handles large-scale data processing without exhausting your computer's memory. This is the transition from "writing scripts" to "writing efficient systems."
You have successfully moved from basic syntax to structured, object-oriented, and persistent Python code. Put these skills into a Final Capstone Project.
To earn the title of Python Professional, you must be able to check off every item on this list. This represents the shift from a student who follows tutorials to an engineer who builds systems.
