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Section 01 · A. Build the foundation

Python for AI Engineer Interviews

Basic → advanced, idiomatic Python plus the AI layer (NumPy, Pandas, typing, async).

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20topics34interview Q&A361practice problems10videos

Topics in this section

Each topic pairs a video with the theory, interview questions & answers, and practice problems whose solutions unlock as you complete them.

01.1
Python Foundations
Video3 Q&A2 practice18 min
01.2
Core data structures & complexity
Video3 Q&A2 practice18 min
01.3
Pythonic idioms, comprehensions & generators
Video3 Q&A2 practice16 min
01.4
Object-oriented Python
Video3 Q&A2 practice16 min
01.5
Decorators, context managers & functional tools
Video3 Q&A2 practice15 min
01.6
Type hints, exceptions & error handling
Video3 Q&A2 practice14 min
01.7
Modules, packaging & the standard library
Video3 Q&A2 practice13 min
01.8
Concurrency & performance (GIL, asyncio, multiprocessing)
Video5 Q&A3 practice15 min
01.9
Testing, debugging & profiling
Video3 Q&A2 practice14 min
01.10
The AI Python layer (NumPy, Pandas, typing/pydantic, async)
Video5 Q&A3 practice15 min
01.11
Coding Drills · Foundations
40 practice80 min
01.12
Coding Drills · Arrays, Hashing & Linear Structures
40 practice80 min
01.13
Coding Drills · Comprehensions, Generators & Functional
40 practice80 min
01.14
Coding Drills · Class & Data-Structure Design
36 practice72 min
01.15
Coding Drills · Decorators, Closures & Functional Tools
33 practice66 min
01.16
Coding Drills · Parsing, Validation & Error Handling
30 practice60 min
01.17
Coding Drills · The Standard Library
30 practice60 min
01.18
Coding Drills · Concurrency & Performance
30 practice60 min
01.19
Coding Drills · Testing, Debugging & Profiling
30 practice60 min
01.20
Coding Drills · NumPy, Pandas & pydantic
30 practice60 min