Coding with AI for Ages 10–14

In this lesson, you'll learn how to use the input() function in Python to get information from the user. You'll learn about the importance of safety when requesting user data and how to work with an AI assistant to create safe code.

In this lesson, you'll learn the concept of variables in Python as boxes for storing data. You'll learn why it's important to choose clear names for variables and how you can use AI to evaluate and improve your code, specifically your variable names.

In this lesson, you'll learn how to combine text and variables in Python using various methods, including f-strings. You'll also learn how to use AI to compare different versions of code and choose the most optimal one.

In this lesson, you'll learn how to use numbers in Python for simple calculations such as addition, subtraction, multiplication, and division. You'll also learn how important it is to ask AI not just for the final answer, but for a step-by-step explanation, and to verify the results you receive.

In this lesson, you'll learn Python's `if/else` conditional statements, which help programs make decisions. You'll learn how to formulate precise conditions, including when working with AI, in order to avoid vague logic and get the results you want.

A `while` loop in Python lets you repeat a block of code as long as a certain condition is true. In this lesson, you'll learn the basics of the `while` loop, its practical use through a 'countdown' example, and a crucial skill — how to avoid infinite loops and how to collaborate with AI during debugging.

In this lesson, you'll learn about Python's for loop, which lets you repeatedly perform actions on each item in a list or range. You'll learn about the range() function and how to use AI to better understand your code, especially for tracking variable values.

In this lesson, you'll learn about one of Python's fundamental data structures — the list. You'll learn how to create lists, how to iterate through them using a `for` loop, and how to collaborate with AI to get ideas while keeping your own decision-making.

In this lesson, you'll learn about Python's dictionary data structure, which lets you store information as key-value pairs. You'll learn how to create, access, modify, and add data in a dictionary, as well as its practical use in real projects.

This lesson introduces you to functions in Python as a way to organize code, reduce repetition, and increase the efficiency of your programs. You'll learn to define and call functions, understand parameters, and use AI to identify repetitive code.

In this lesson, you'll learn to see programming errors as valuable clues rather than obstacles. You'll learn how to read error messages, create effective debugging prompts for AI, and independently fix issues in your code.

In this lesson, you'll learn how to critically approach AI-generated code to make sure it's safe and that you understand it. We'll discuss how to check code for unfamiliar elements, requests for personal data, and unnecessary complexity, as well as how to politely reject AI suggestions that don't match your level of knowledge or the project's requirements.

In this lesson, you'll learn why it's important to plan a project before coding and how to use AI in this process. We'll create a plan for a small Quiz Game and start building it step by step using the Python concepts you've learned.

In this lesson, you'll learn how to combine various Python concepts, such as lists, dictionaries, loops, and conditional statements, to build a full-fledged quiz game. You'll also learn strategies for collaborating with AI step by step and effectively, while maintaining ownership of the project.

In this lesson, you'll learn what it means for a Python project to be 'finished,' and how to improve your code with comments and user-friendly features. You'll also learn safe sharing practices and prepare, with AI's help, to explain your work.