This module introduces the course objectives, programming language concepts, Python language, and guides through installing Python with Anaconda distribution and building an AI coding environment.

This module covers installing and using JupyterLab, basic rules and concepts of Python, data types, and principles of clear, concise, and compact coding.

This module dives deeper into Jupyter lab and notebook, indentation, string and Boolean concepts, integers and floats, type changes, dynamic value assignment, and introduces the basic concept of if-clause.

This module covers control statements including if-elif-else, while loops, for loops, augmented assignment, lazy evaluation, and the use of break and continue in loops.

This module focuses on creating functions, including functions with multiple inputs, default values, and arbitrary number of inputs. It also covers reusing functions, , importing modules and libraries, and random number generation.

This module introduces lists and tuples, covering concepts like slicing, unpacking, enumeration, sorting, searching, list comprehensions, and functions like filter, lambda, map, and zip.

This final module covers dictionaries and sets, including dictionary iteration, sorting, comprehension expressions, word counting with dictionaries, and basic operations with sets.