Classes and Object-oriented Programming in Python 3
Object-oriented programming (OOP) separates junior developers from senior engineers—and Python’s class system is where that foundation begins. This course cuts through theory to show you how classes actually work, why inheritance matters, and when to use encapsulation in real code. You’ll stop writing procedural scripts and start architecting maintainable applications.
AIU.ac Verdict: Essential for Python developers moving beyond scripts into production codebases. Best suited to those with Python basics who need OOP clarity fast; the 2h 26m runtime means you’ll grasp core concepts without weeks of commitment. Note: focuses on fundamentals rather than advanced design patterns.
What This Course Covers
You’ll explore class definition and instantiation, object attributes and methods, constructors, and the mechanics of how Python manages object state. The course covers inheritance hierarchies, method overriding, and how to leverage polymorphism without overcomplicating your code. Practical labs let you build working examples rather than watching slides.
Mateo Prigl structures this around real-world scenarios: designing classes for data models, extending existing classes cleanly, and recognising when OOP solves your problem versus when it adds unnecessary complexity. You’ll leave understanding the ‘why’ behind encapsulation and composition, not just the syntax.
Who Is This Course For?
Ideal for:
- Python developers with procedural experience: You’ve written functions and modules but haven’t formalised OOP thinking. This bridges that gap efficiently.
- Career-switchers entering backend or data engineering: OOP is non-negotiable in professional Python roles; this gives you the conceptual foundation quickly.
- Self-taught programmers preparing for technical interviews: Classes and inheritance are interview staples. This course covers the essentials interviewers expect.
May not suit:
- Complete Python beginners: You’ll need comfort with functions, loops, and basic data types first. Start with Python fundamentals before this.
- Architects seeking advanced design patterns: This is foundations, not SOLID principles or enterprise patterns. Look for intermediate-plus courses if you need that depth.
Frequently Asked Questions
How long does Classes and Object-oriented Programming in Python 3 take?
2 hours 26 minutes of video content. Most learners complete it in one or two focused sessions, though hands-on labs may add practice time.
Do I need prior Python experience?
Yes. You should be comfortable with variables, functions, loops, and basic data structures. This course assumes you can read and write simple Python scripts.
Will I learn design patterns or just class syntax?
This covers OOP fundamentals—classes, inheritance, encapsulation, polymorphism—with practical application. Advanced patterns (SOLID, Factory, Observer) are beyond scope; consider follow-up courses for those.
Are there hands-on labs or just videos?
Pluralsight includes interactive labs and sandboxes alongside video instruction, so you’ll write and test code as you learn, not just watch.
Course by Mateo Prigl on Pluralsight. Duration: 2h 26m. Last verified by AIU.ac: March 2026.
