1 – An Overview of Python 3

• Introduction to Python and setting up the developer environment

2 – Basic Python Syntax

• Explore the basic syntax and semantics of Python

3 – Language Components

• Understand the basic control flow features and operators

4 – Collections

• Write programs that manipulate compound data using lists, sets, tuples and dictionaries

5 – Functions

• Decompose your programs into composable functions

6 – Modules

• Organize your code using Modules for flexibility and reuse

7 – Classes in Python

• Explore Object Oriented Programming (OOP) with classes and objects

8 – Exceptions

• Handle runtime errors using Exceptions

9 – Input and Output

• Implement programs that read and write files

10 – Data Structures

• Use advanced data structures like generators and comprehensions to reduce boilerplate code

11 – Parsing JSON

• Read and write JSON data

12 – Debugging

• Debug Python programs using the Python debugger (pdb)

13 – Introduction to Red Hat OpenShift AI

• Identify the main features of Red Hat OpenShift AI, and describe the architecture and components of Red Hat OpenShift AI.

14 – Data Science Projects

• Organize code and configuration by using data science projects, workbenches, and data connections

15 – Jupyter Notebooks

• Use Jupyter notebooks to execute and test code interactively