AI Udaan syllabus · Week 1 — Day 2–3
Python Variables & Datatypes for AI Beginners
Variables store the data your AI programs work with — from a student’s exam score to thousands of rows in a dataset. In AI Udaan, you learn Python datatypes before touching machine learning so you can read and write real data code confidently.
Core datatypes you will use in AI
Integers and floats represent numbers. Strings hold text — useful for labels and NLP later. Lists, tuples, sets, and dictionaries organize collections of data. In ML, you will often move from Python lists to NumPy arrays and Pandas DataFrames, but the mental model starts here.
Why this matters for machine learning
A CSV column of ages is a series of numbers. A column of city names is text. Choosing the right datatype affects cleaning, math, and model input. AI Udaan’s Week 1 assignments reinforce these concepts before Pandas enters the syllabus.
Covered in AI Udaan
- Python installation and environment setup
- Numbers, strings, booleans
- Lists, tuples, sets, and dictionaries
- Collection methods and basic operations
Go deeper with the full bootcamp
This guide is a free overview. AI Udaan is a 16-week mentor-led Python with AI/ML bootcamp — live classes, assignments, projects, certificate, and career support for learners across Nepal.
FAQ
Are Python variables covered in the full AI Udaan syllabus?
Yes — Day 2 and Day 3 of Week 1 in AI Udaan cover datatypes and collection datatypes with assignments before moving to loops and functions.
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