Academy / Data & Machine Learning
Path 2 ยท Course 1 ยท For beginnersPython for AI
Python from scratch with an AI focus: notebooks, variables, lists and dictionaries, functions, files and JSON, pandas for data, calling AI model APIs safely, and a hands-on project analysing customer reviews with AI.
0 of 6 modules complete
Modules
- 125 min
Getting started with Python
Why Python for AI, Google Colab, first code, variables and types, strings and f-strings, and reading errors.
- 230 min
Data structures, logic and functions
Lists, dictionaries, conditions, loops, list comprehensions and functions.
- 330 min
Files, text and JSON
Reading and writing files, JSON for AI APIs, try/except, cleaning text with regular expressions, and CSV files.
- 435 min
Working with data in pandas
DataFrames, inspecting data, selecting and filtering, missing values, new columns, grouping, charts and saving results.
- 535 min
Calling AI model APIs
How AI APIs work, keeping keys secret, a first API call, a helper function, structured JSON output, and handling errors, limits and cost.
- 640 min
Project: analysing reviews with AI
An end-to-end project: a review dataset, AI classification, checking the AI's work, summarising for a manager, and good habits for growing projects.