Beginner Friendly Intro To Ai Course

Diving into the Exciting World of Artificial Intelligence, Created by a High Schooler for High Schoolers

What you'll learn

Basics of AI, including applications, misconceptions, branches, history, and ethics

Basics of python, including variables, loops, data structures, and basic algorithms

Basics of libraries, including pandas, numpy, and matplotlib

Basics of ML, including supervised, unsupervised, reinforcement learning, regression and classification, and various ML models/algorithms

Basics of Computer Vision, including neural networks, convoluted neural networks, deep learning, and transfer learning

Requirements

No programming experience is needed! Beginner friendly course.

Description

*This course is meant for purchase by an adult over 18*Targeted towards high schoolers, this course covers the basics of AI, including its applications, misconceptions, branches, history, and ethics. The student will learn Python programming essentials, such as variables, loops, data structures, and basic algorithms, along with key Python libraries like pandas, numpy, and matplotlib. Moreover, the course introduces machine learning concepts, including supervised, unsupervised, and reinforcement learning, as well as regression, classification, and various ML models and algorithms. The student will also delve into computer vision, exploring neural networks, convolutional neural networks (CNNs), deep learning, and transfer learning.This course is designed to be engaging and easy to understand, making complex topics accessible for high school students. Each topic is explained with simple examples and hands-on activities to apply what you learn. By the end of the course, the student will have a solid foundation in AI and Python programming, enabling the student to tackle real-world problems using technology.Whether the student is interested in using AI for health, education, or any other field, this course will give them the tools and knowledge they need to start their journey.  Enroll in this course to build a strong foundation in AI, and acquire the skills and knowledge to create impact in this special field!

Overview

Section 1: Introduction to AI

Lecture 1 What is AI? (1)

Lecture 2 Boston Dynamics Video

Lecture 3 What is AI? (2)

Lecture 4 Branches of AI (1)

Lecture 5 Tonight Show Video

Lecture 6 Branches of AI (2)

Lecture 7 History of AI

Lecture 8 AI Bias and Ethics (1)

Lecture 9 Algorithmic Bias and Fairness: Crash Course AI Video

Lecture 10 AI Bias and Ethics (2)

Lecture 11 AI Dangers Ted Talk

Lecture 12 AI Bias and Ethics (3)

Section 2: Introduction to Python

Lecture 13 Intro to Python (1)

Lecture 14 Colab Tutorial For Beginners Video

Lecture 15 Intro to Python (2)

Lecture 16 Printing and Variables

Lecture 17 Conditionals

Lecture 18 Loops

Lecture 19 Functions

Lecture 20 Lists

Lecture 21 (Optional) Sorting

Lecture 22 Dictionaries

Section 3: Introduction to Libraries

Lecture 23 Intro to Libraries

Lecture 24 Intro to Pandas

Lecture 25 Intro to Numpy

Lecture 26 Intro to Matplotlib

Section 4: Introduction to ML

Lecture 27 Introduction to ML (1)

Lecture 28 Linear Regression Video

Lecture 29 Introduction to ML (2)

Lecture 30 Logistic Regression Video

Lecture 31 Introduction to ML (3)

Lecture 32 Decision Trees Video

Lecture 33 Introduction to ML (4)

Lecture 34 K-means-clustering Video

Lecture 35 PCA Main Ideas Video

Lecture 36 Introduction to ML (5)

Lecture 37 MSE Video

Lecture 38 Introduction to ML (6)

Lecture 39 R-squared Video

Section 5: Introduction to Computer Vision

Lecture 40 Introduction to Computer Vision (1)

Lecture 41 What is a Neural Network video

Lecture 42 Introduction to Computer Vision (2)

Lecture 43 Deep Learning Video

Lecture 44 Introduction to Computer Vision (3)

Lecture 45 Activation Functions Video

Lecture 46 Introduction to Computer Vision (4)

Lecture 47 Transfer Learning Video

Lecture 48 Introduction to Computer Vision (5)

This course is meant for high schoolers and ambitious middle schoolers who are interested in learning more about AI and making an impact.