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AI Interview MasteryBeginner → IntermediateNEW
Python Essentials for AI Engineers
Python from the perspective of an AI engineer — every concept, data structure, and standard library feature that appears in AI/ML interviews. 6 chapters covering core types, functions, OOP, built-in methods, NumPy patterns, and common interview problems.
4.9rating2,890 students6h 45m total36 lessons
What you'll learn
Understand every Python built-in data type and when to use each
Write clean functions with default args, *args, **kwargs, and decorators
Use list/dict comprehensions and generators for efficient AI data handling
Apply OOP principles: classes, inheritance, and magic methods
Use NumPy arrays, slicing, broadcasting — the foundation of ML
Solve the most common Python interview problems for AI roles
Final Project
Complete a Python-for-AI mock interview: implement a tokenizer, a mini matrix class, and a data cleaning pipeline
Curriculum
36 lessons · 6h 45m1
What is Python? Why is it widely used in AI?
8 min
2
What are Python's built-in data types?
12 min
3
What is dynamic typing?
8 min
4
What is the difference between int and float?
8 min
5
What is the difference between List and Tuple?
10 min
6
What is a Dictionary?
10 min
7
What is a Set and when should we use it?
8 min
8
What is Mutability?
8 min
9
What is Type Casting?
8 min
10
What is the difference between == and is?
8 min
Course Info
Lessons36 lessons
Total time6h 45m
LevelBeginner → Intermediate
Students2,890
Rating4.9 / 5.0