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Aspiring AI Engineers

Python 101 for AI Engineers

6 weeks
0 Learners
eulerfoldeulerfold
Jul 23

“This intensive curriculum provides a comprehensive deep dive into Python for AI Engineers. You will master the foundational mechanics, underlying system architecture, and core paradigms required to excel in modern engineering environments. By the end of this journey, you will possess the practical intuition and technical rigor to design and implement highly scalable solutions.”

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About this Course

The absolute basics of Python scripting required before touching PyTorch, LangChain, or LLMs. This Aspiring AI Engineers curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 6 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Master the underlying architecture and practical applications of Python Core and Setup.
Master the underlying architecture and practical applications of Data Structures Deep Dive.
Master the underlying architecture and practical applications of Advanced Python Constructs.
Master the underlying architecture and practical applications of Numerical Computing with NumPy.

Prerequisites

beginner Level

Accessible to beginners with basic computer literacy.

  • Python 3 & basic OOP
  • Python scripting
  • Basic linear algebra & tensors

Ideal for

Aspiring AI Engineers

AI/ML Engineers
W1

Python Core and Setup

Develop an intuitive mental model for Python Core and Setup by comprehensively studying variables, data types, and operators, control flow (if/else, loops), and functions, scope, and lambda.

3 videos•98m
3 topics
1 homework
Learn

Topics

1.1
Variables, Data Types, and Operators
32 minutes
1.2
Control Flow (If/Else, Loops)
58 minutes
1.3
Functions, Scope, and Lambda
8 minutes
W2

Data Structures Deep Dive

Explore the mechanics of Data Structures Deep Dive by comprehensively studying lists and list comprehensions, dictionaries and sets, and tuples and unpacking.

3 videos•72m
3 topics
1 homework
Learn
W3

Advanced Python Constructs

Dive deep into the internals of Advanced Python Constructs by comprehensively studying object-oriented programming (classes & objects), iterators and generators, and error handling and exceptions.

3 videos•32m
3 topics
1 homework
Learn
W4

Numerical Computing with NumPy

Gain a deep understanding of Numerical Computing with NumPy by comprehensively studying numpy arrays and data types, array indexing, slicing, and reshaping, and vectorization and broadcasting.

3 videos•139m
3 topics
1 homework
Learn
W5

Data Manipulation with Pandas

Dive deep into the internals of Data Manipulation with Pandas by comprehensively studying series and dataframes basics, data cleaning and missing values, and grouping, aggregation, and merging.

3 videos•55m
3 topics
1 homework
Learn
W6

Data Visualization Fundamentals

Gain a deep understanding of Data Visualization Fundamentals by comprehensively studying matplotlib basics (line, bar, scatter) and statistical plots with seaborn.

2 videos•57m
2 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

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