Demystifying AI: An Introduction to Machine Learning

Course Description

Machine learning (ML) is the driving force behind many of today’s technological breakthroughs, from personalized recommendations to self-driving cars. But how do machines “learn,” and what makes them so powerful at solving complex problems? This course introduces the technical foundations of machine learning, breaking down concepts into accessible, interactive lessons that require no prior programming knowledge.

Participants will explore the core principles of machine learning, including how data is used to train models, the difference between supervised and unsupervised learning, and how algorithms can recognize patterns and make predictions. Through hands-on activities, participants will learn how machines classify objects, cluster data into groups, and learn through trial and error. Finally, we will explore the social implications of ML and the risk of bias present in models .

The course also includes an introduction to simple tools like Google Teachable Machine, allowing participants to experiment with building and testing their own machine learning models. Additionally, students will explore generative AI tools, including ChatGPT, to understand how machines generate text, images, and other creative outputs. This hands-on exploration will provide insights into how generative models work and their potential applications in solving real-world problems.

By the end of the course, participants will have developed a solid understanding of the technical processes that underpin machine learning and will have seen firsthand how these concepts apply to real-world problems. Whether building a basic classifier or visualizing how neural networks operate, this course provides a dynamic and engaging introduction to the exciting world of machine learning.

This experience offers participants a glimpse into the world of ML while inspiring them to think critically and creatively about the future of AI. Whether they’re passionate about technology or simply curious about how machines work, this course equips them with the foundational knowledge to explore machine learning further.