A program curated for middle school students to learn the fundamentals of python andkey concepts in machine learning and artificial intelligence. Work on hands-on group projects.
Program Structure
Weeks 1 to 2:
Build a foundation in AI & ML and learn about data analysis
Weeks 3 to 5:
Receive an introduction to key topics in AI - including exploratory data analysis, regression, and classification problems
Weeks 6 to 10:
Deep dive into some more complex topics which includes:
Image Classification
Neural Networks
Why AI Ethics Matter
Program Details
This program is conducted entirely online!
Duration
25 hours over 10 weeks (weekends) OR 25 hours over 2 weeks (weekdays during the summer).
Structure
Section lectures for 1.5 hours and group session with a 5:1 student to mentor ratio for 1 hour (total: 2.5 hours per session)
Pre-requisites
None!
Student Background
Grades 6-8
Output
A group project with 3-5 other students.
Here is our program brochure for more details!
AI Trailblazers Course Syllabus
AI Trailblazers Course Syllabus
Lecture 1:
Theory
Lecture 2: Code Walk-Through
Hands-on Session:
Small Group
Session 01
Introduction to AI and ML
Intro to Python & Basic Programming
Hands-on work
Session 02
Exploratory Data Analysis (EDA)
Intro to Python & Basic Programming
Hands-on work
Session 03
Data, Regression Problems, Linear Regression
EDA
Hands-on work
Session 04
Multiple Regression
Linear Regression and Multiple Regression
Hands-on work
Session 05
Classification Problems, Logistic Regression
Logistic Regression
Hands-on work
Session 06
Introduction to Neural Networks (NNs)
Neural Networks
Project: Research Question and EDA!
Session 07
Tuning Neural Networks
More Practice with Neural Networks
Project: Model Training
Session 08
Introduction to Convolutional Neural Networks (CNNs)