Course · Beginner
Intermediate Python for AI Engineering
As you move into building AI applications, you'll need Python skills that go beyond the basics. Here, you'll learn object-oriented programming, decorators, regular expressions, and error handling so you can write cleaner, more professional Python in everything you build.
- Beginner friendly
- 12 hrs
- 5 lessons
- 1 project
- Premium
Course overview
Advance your Python development skills by using object-oriented programming, list comprehensions and lambda functions, decorators, regular expressions, and error handling in real projects.
What's inside
5 lessons · 1 project
- 01 51 minBasic Object Oriented Programming in Python
<p>Learn object-oriented Python. This lesson introduces classes, objects, instances, attributes, and methods.</p>
- 02 79 minIntermediate Object Oriented Programming
<p>This lesson covers intermediate object-oriented programming (OOP) concepts in Python, teaching you how to build on foundational classes using inheritance, design custom classes with polymorphism, and manage object state through encapsulation.</p>
- 03 95 minDecorators
<p>Learn about decorators in Python, a powerful tool that allows function or class behavior modification. The lesson includes hands-on exercises for learners to practice applying decorators in Python.</p>
- 04 67 minIntroduction to Regular Expressions and Error Handling
<p>Learn basic regular expressions, focusing on input validation for an e-commerce checkout page. Additionally, learn about error handling in Python, including try/except blocks and raising exceptions.</p>
- 05 49 minGuided Project: Garden Simulator Text Based Game Project
For this project, you'll step into the role of a Python game developer to create an interactive text-based "Garden Simulator" using object-oriented programming, error handling, and randomness.
- 06 120 minList Comprehensions and Lambda Functions
Learn techniques to improve your data workflow in Python
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