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Python for AI
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Online Python Class for Kids

Python for AI Class

Learn a real-world programming language, with a focus on AI
  • Grades 5-12
  • 2-5 students group class
  • 70 minutes per session
  • Live online class

Python for AI - A Fun Project-Based Python Introduction for Kids

Are you interested in giving your child a head start in the world of coding? Look no further than Create & Learn's Python for AI class for kids and teens. It provides a thorough introduction to Python essentials and is highly engaging with project-based learning.

Python stands as a high-level coding language favored by industry giants such as Netflix and Google. It finds applications in web development, game design, app creation, machine learning, and much more. Our live online Python class for kids not only covers the fundamentals of Python coding, but also places a strong emphasis on the elements of Python most relevant to Artificial Intelligence, including data structures and libraries. For middle or high schoolers who are keen on exploring advanced computer science and diving into one of the most sought-after programming languages, this small group class is the ideal starting point.

New: We have incorporated ChatGPT throughout our Python curriculum to help students debug, learn new content, and brainstorm ideas by working with ChatGPT, so they can learn better and more effectively. In addition, students who sign up for our Python class also receive 6 months of free access to our Python Skill Builder, an AI-based tool that helps students continue to practice their new skills after class.

There are a lot more to Python than just learning the programming language. Check out our Python for Kids series of classes to learn more.

Free Intro to Python Coding

In this free Python coding class, students will take their first dive into coding with Python. We will transition from block coding, which they learned in Scratch, to text-based coding. Students will learn how to animate and draw with Python, and will build their own story project to create a cool animation. Like all of our small group classes, this online Python for kids class is led by an experienced teacher. Join us, learn, and have fun!

Python for AI - 1

In this first part of our Python coding course, we start to learn core concepts of Python syntax, loops, data types, variables, and a lot more. We will build a smooth transition for kids to up-level from block coding such as Scratch, to Python's text-based coding. Students will learn fundamental Python skills as they build creative stories, animations, and games. Basic topics will include using Python syntax, variables, loops, functions, and built-in data structures.

Python for AI - 2

In part 2 of our Python coding course, students will begin using Python for AI and data science. We will explore more advanced programing elements of Python such as dictionaries and files, and learn how to employ Python’s powerful modules to build games, stories, and real-world data projects.

Python for AI - 3

Part 3 covers a good amount of advanced Python coding for kids. Students will be introduced to object-oriented programming, and learn how to use Python classes and objects to complete more complex games and applications.

Python for AI - 4

In this final part of our Python programming course for kids, students will be introduced to more advanced Python concepts, including data structures such as 2D arrays, as well as using new modules and the API for an AI system. Students will also become creators of their own independent Python projects. By the end of the course, they will design and code their own Python program from scratch. To help them prepare, students will practice reading code written by other people and leveraging the Python documentation, to accomplish new things that are not covered by the teacher during class.

Featured Teacher

Sarah Rappaport

Sarah Rappaport

BS/Masters in Materials Science and Engineering. Sarah's original passion for the creative sciences stemmed from legos, which she'd use to build huge projects which ate up the entire living room. Today, as an engineer and educator with several years of experience in both disciplines, Sarah can both teach coding and contextualize it. She is passionate about all things STEM, and can't wait to see what you build!
Join Free Intro
 
 
Private
  • $516$412.8020% Off(16 Sessions)
  • Computer - Mac
    Windows PC
    Chromebook
  • For students grades 6 or lower, extensive prior coding experience in platforms like Scratch are required. For grades 7 or older, you can start with Python without prior coding experience, as long as you are willing to spend some moderate amount of extra time to practice.

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    Designed by Stanford, Google & Apple Experts with kids in mind.

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  • Expert Teachers

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Kids & Parents Love Our Classes

Frequently Asked Questions About Python for AI

Can a kid learn Python?

Yes, kids in grade 5 and above can learn Python. In our classes and Python camps, students in grades 5 through 12 learn Python through project-based and inquiry-based methods to make learning fun and memorable. Kids quickly grasp the basics.

Python is also a great next step after mastering basic coding skills through platforms like Scratch and courses such as:

Is Python good for beginners?

Yes, Python is excellent for beginner coders, especially those in upper middle school or high school. It's an approachable, text-based programming language and is widely used in fields such as AI and data science. It’s often the first text-based language learned by many new programmers.

For younger elementary students, we recommend starting with Scratch coding, which is more engaging and easier to grasp.

What is the right age to learn Python?

Kids as young as 11—or sometimes even younger—can start learning Python. However, a child’s interest is the most important factor.

Here’s a guide based on your child’s preferences:

What should my kid do after taking the Python classes? How do they keep practicing?

It’s important to continue building coding and computational thinking skills. Students can practice using our Python Skill Builder, where they can complete new projects with help from an AI coach.

Beyond practicing Python, students are encouraged to explore more advanced topics, such as:

These are valuable and in-demand skills that can also be applied to school projects and science fairs.

Many students also go on to take:

What specific projects will students complete during the course?

In the free intro session, students create a Python-based animation—drawing shapes, moving sprites, and combining logic to tell a story. In Part 1, learners build creative story-based games, interactive animations, and simple puzzles using Python loops, functions, and built-in data structures. Part 2 projects might include text-based adventure games, data-driven mini-applications, and introductory AI demos (e.g., using a simple classification model). Later parts focus on building AI-driven projects—such as chatbot prototypes, image classifiers, or data analysis scripts—by integrating popular Python libraries like NumPy, pandas, and scikit-learn.

How does this class introduce real-world AI and computer science concepts?

Through project-based learning, students see firsthand how Python syntax controls program behavior—using loops to automate repetitive tasks, functions for modular code, and data structures to organize information. By incrementally introducing AI libraries and integrating ChatGPT for debugging and brainstorming, learners experience real-world AI workflows: loading data, preprocessing, model training, and inference. This practical approach demystifies AI, showing how simple Python scripts can build chatbots or basic image classifiers.

How does the Python for AI class fit into the broader Create & Learn learning pathway?

Python for AI serves as a foundation for advanced computer science and AI courses. After completing this series, students can progress to intermediate offerings—such as “AI Creators: Computer Vision & ChatGPT” or “Data Science with Python”—to deepen their knowledge of machine learning, data analysis, and AI-driven application development. This structured pathway ensures a smooth transition from Python basics to sophisticated AI projects.