AI Trailblazers

A program curated for middle school students to learn the fundamentals of python and key concepts in artificial intelligence and machine learning. Students work on hands-on group projects with real-world impact.

Program structure

Weeks 1 to 2

Introduction to fundamentals of AI, ML, and data science.

Weeks 3 to 5

Introduction to key topics in AI - including exploratory data analysis, regression, and classification problems.

Weeks 9 to 15

Deep dive into advanced topics like image classification, neural networks, and why AI ethics matter.

Program Details

This program is conducted entirely online!

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AI Trailblazers Curriculum

1

Session 1

Theory Lecture

Introduction to AI and ML

Code Walk-Through

Introduction to python & basic programming

Hands-on Session

Work on problem sets in groups

2

Session 2

Theory Lecture

Exploratory Data Analysis (EDA)

Code Walk-Through

Introduction to python & basic programming

Small Group

Work on problem sets in groups

3

Session 3

Theory Lecture

Data, regression problems, linear regression

Code Walk-Through

EDA

Hands-on Session

Work on problem sets in groups

4

Session 4

Theory Lecture

Multiple regression

Code Walk-Through

Linear regression and multiple regression

Hands-on Session

Work on problem sets in small groups

5

Session 5

Theory Lecture

Classification problems, logistic regression

Code Walk-Through

Logistic regression

Hands-on Session

Begin project work in small groupsk

6

Session 6

Theory Lecture

Introduction to neural networks (NNs)

Code Walk-Through

Neural networks

Hands-on Session

Project: research question and EDA

7

Session 7

Theory Lecture

Tuning neural networks

Code Walk-Through

More practice with neural networks

Hands-on Session

Project: model training

8

Session 8

Theory Lecture

Introduction to convolutional neural networks

Code Walk-Through

Convulational neural networks

Hands-on Session

Project: continue model training

9

Session 9

Theory Lecture

AI Ethics

Code Walk-Through

Project: model evaluation

Hands-on Session

Project: presentation preparation

10

Session 1

Theory Lecture

Project: presentation practice

Code Walk-Through

Presentation and closing ceremony

Hands-on Session

Feedback session