Beginner Friendly Intro to AI Course (Part 2)

*This course is meant for purchase by an adult over 18*

Targeted towards high schoolers, this is the second part to a course that 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!