Industry Standard Code

Python Foundations &
Generative AI Syllabus

Taught exclusively 1-on-1 by active software engineers. From writing first variables to deploying custom AI models connected to ChatGPT.

AGE RANGE:Ages 11–16
PRE-REQS:None (Beginner Friendly)
FORMAT:1:1 Elite Mentorship
GRADUATION:Live GitHub Profile

Prerequisites & Details

  • ✓System: Laptop or Desktop (Windows/Mac) with webcam.
  • ✓Schedule: Customized sessions, 1 or 2 hours weekly.
  • ✓Mentor: Vetted university CS engineers.

Curricular Milestones

1
Week 1–2

Syntax Foundations & Logic Control

  • Setting up a local IDE environment and typing standard syntax print statements.
  • Understanding computational variable datatypes: Strings, Integers, Floats, and Booleans.
  • Constructing if-else conditional branches, loops (while/for), and function arguments.
STAGE OUTCOME:Compile an interactive adventure game parsing user strings.
2
Week 3–4

Advanced Data Structures & File Inputs

  • Mastering Lists, Dictionaries, Tuples, and data sorting algorithms.
  • Reading and writing inputs dynamically to external .txt and .json data stores.
  • Intro to Object-Oriented Programming (OOP): writing custom class blueprints.
STAGE OUTCOME:Develop a functional text-based personal cash manager system.
3
Week 5–6

Connecting to OpenAI APIs & Building AI

  • Connecting to external servers using HTTP Request methods in Python.
  • Managing sensitive environment secrets safely.
  • Passing prompts to GPT models, parsing JSON outputs, and managing custom chat memory states.
STAGE OUTCOME:Build and deploy a custom functional conversational AI assistant.

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