AI Foundations & Applications
with Python

The Blue Marble Academy

This course is for students who already have a handle on Python basics and are ready to go further.
The focus is on real skills, not theory. By the end, your student will have built actual AI-powered
tools and understand how those tools work, not just how to use them.

What Your Student Will Learn

How AI systems like ChatGPT actually work at a foundational level
How to connect to and control AI models using Python
How to write effective prompts that guide AI responses
How to build working applications powered by AI
How to think critically about what AI can and can't do

What Your Student Will Build

Each project is built live during the session. Your student writes the code, runs it, and sees it work in
real time.

Session Breakdown

Session 1 (2 hours):
AI Basics and Setup

Your student gets introduced to how AI works, what an API is, and how to make their first API call
from Python. By the end, they have a working program that takes their input, sends it to an AI, and
prints the response.

Session 2 (2 hours): Prompt Engineering

This session focuses on how to communicate with AI effectively. Your student learns that the quality of
the prompt shapes the quality of the output. They build an AI Study Assistant that explains topics in
simple or detailed terms depending on what they ask for.

Session 3 (2 hours):
AI Automation

Your student learns how to use AI as a tool inside a larger Python program. They build an AI Email
Generator that takes a topic and produces a full email, then saves the output to a file.

Session 4 (2 hours):
AI with Real Data

This session shows how giving AI better context leads to better results. Your student builds an AI
Resume Reviewer that takes in text and returns structured feedback.

Session 5 (2 hours): Introduction to Machine Learning

A lighter overview of how machine learning works, covering concepts like features, labels, and pattern
recognition. Your student runs a basic prediction model. The focus is on understanding the idea, not
the math.

Session 6 (2 hours): Building a Chatbot

The most technically challenging session. Your student learns how conversation memory works and
builds a chatbot that remembers what was said earlier in the conversation and responds with a
consistent personality.

Session 7 (2 hours): Independent Project Development

Your student picks their own project and starts building it with guidance. Options include a homework
helper, a planner, or a custom generator. The instructor guides but lets the student lead.

Session 8 (2 hours): Final Project Completion

Your student finishes and polishes their project, cleans up the code, and does a short walkthrough of
what they built and how it works.

How Instruction Works

Every session is fully 1-on-1. There is no rushing to keep pace with a group. Each session follows the same structure: the instructor explains a concept, demonstrates it, and then the student builds something with it. Instruction is adjusted to how your student learns.

Certificate of Completion

Students who finish the program receive a Certificate of Completion from The Blue Marble. It includes total instructional hours, skills covered, and the final project they completed.

We're Local in King City, Ontario

AI Foundations & Applications with Python

The Blue Marble Academy

This course is for students who already have a handle on Python basics and are ready to go further. The focus is on real skills, not theory. By the end, your student will have built actual AI-powered tools and understand how those tools work, not just how to use them.

How AI systems like ChatGPT actually work at a foundational level

How to connect to and control AI models using Python

How to write effective prompts that guide AI responses

How to build working applications powered by AI

How to think critically about what AI can and can't do

Each project is built live during the session. Your student writes the code, runs it, and sees it work in real time.

Session Breakdown

Session 1 (2 hours): AI Basics and Setup

Your student gets introduced to how AI works, what an API is, and how to make their first API call from Python. By the end, they have a working program that takes their input, sends it to an AI, and prints the response.

Session 2 (2 hours): Prompt Engineering

This session focuses on how to communicate with AI effectively. Your student learns that the quality of the prompt shapes the quality of the output. They build an AI Study Assistant that explains topics in simple or detailed terms depending on what they ask for.

Session 3 (2 hours): AI Automation

Your student learns how to use AI as a tool inside a larger Python program. They build an AI Email Generator that takes a topic and produces a full email, then saves the output to a file.

Session 4 (2 hours): AI with Real Data

This session shows how giving AI better context leads to better results. Your student builds an AI Resume Reviewer that takes in text and returns structured feedback.

Session 5 (2 hours): Introduction to Machine Learning

A lighter overview of how machine learning works, covering concepts like features, labels, and pattern recognition. Your student runs a basic prediction model. The focus is on understanding the idea, not the math.

Session 6 (2 hours): Building a Chatbot

The most technically challenging session. Your student learns how conversation memory works and builds a chatbot that remembers what was said earlier in the conversation and responds with a consistent personality.

Session 7 (2 hours): Independent Project Development

Your student picks their own project and starts building it with guidance. Options include a homework helper, a planner, or a custom generator. The instructor guides but lets the student lead.

Session 8 (2 hours): Final Project Completion

Your student finishes and polishes their project, cleans up the code, and does a short walkthrough of what they built and how it works.

Every session is fully 1-on-1. There is no rushing to keep pace with a group. Each session follows the same structure: the instructor explains a concept, demonstrates it, and then the student builds something with it. Instruction is adjusted to how your student learns.

Students who finish the program receive a Certificate of Completion from The Blue Marble. It includes total instructional hours, skills covered, and the final project they completed.

AI Foundations & Applications
with Python

This course is for students who already have a handle on Python basics and are ready to go further.
The focus is on real skills, not theory. By the end, your student will have built actual AI-powered
tools and understand how those tools work, not just how to use them.

Each project is built live during the session. Your student writes the code, runs it, and sees it work in
real time.

Session 1 (2 hours):
AI Basics and Setup

Your student gets introduced to how AI works, what an API is, and how to make their first API call
from Python. By the end, they have a working program that takes their input, sends it to an AI, and
prints the response.

This session focuses on how to communicate with AI effectively. Your student learns that the quality of
the prompt shapes the quality of the output. They build an AI Study Assistant that explains topics in
simple or detailed terms depending on what they ask for.

Session 3 (2 hours):
AI Automation

Your student learns how to use AI as a tool inside a larger Python program. They build an AI Email
Generator that takes a topic and produces a full email, then saves the output to a file.

Session 4 (2 hours):
AI with Real Data

This session shows how giving AI better context leads to better results. Your student builds an AI
Resume Reviewer that takes in text and returns structured feedback.

A lighter overview of how machine learning works, covering concepts like features, labels, and pattern
recognition. Your student runs a basic prediction model. The focus is on understanding the idea, not
the math.

The most technically challenging session. Your student learns how conversation memory works and
builds a chatbot that remembers what was said earlier in the conversation and responds with a
consistent personality.

Your student picks their own project and starts building it with guidance. Options include a homework
helper, a planner, or a custom generator. The instructor guides but lets the student lead.

Your student finishes and polishes their project, cleans up the code, and does a short walkthrough of
what they built and how it works.