This introductory week will cover the fundamental concepts of Artificial Intelligence, exploring what AI is, its history, and its exciting applications in various creative domains and everyday life. You’ll also dive into the essential steps of data preprocessing, learning why preparing data is crucial for building effective AI models.

This week introduces the core concept of supervised learning, where AI learns from labeled data. You’ll specifically focus on linear regression, understanding its key terms, how it works to predict numerical outcomes, and exploring its practical applications in fields like finance and forecasting.

Discovering Patterns and Learning by Doing: This week expands your AI knowledge by exploring two other major learning paradigms: unsupervised learning, where AI discovers hidden patterns in unlabeled data, and reinforcement learning, where AI learns through trial and error and feedback. You’ll learn the key distinctions between these approaches and examine their diverse real-life applications, from customer segmentation to robotics.

This week delves into the fascinating world of deep learning, a powerful subset of machine learning. You’ll learn about the structure of neural networks, how they are trained to learn complex patterns, and explore their wide-ranging applications in areas like image recognition, natural language processing, and more.

This week introduces the exciting field of Generative AI, where AI models learn to create new content. You’ll get hands-on experience using Google AI Studio, a user-friendly platform for exploring and experimenting with generative models, and learn how to leverage AI to enhance creative thinking and generate novel outputs.

This week focuses on the crucial skill of prompt engineering, learning how to craft effective and well-structured prompts to guide Large Language Models (LLMs). You’ll learn techniques for refining your prompts to elicit desired responses and gain a deeper understanding of how these powerful models interpret and generate text.

This crucial week explores the ethical considerations surrounding the development and deployment of Artificial Intelligence. You’ll learn to critically evaluate AI information and engage in discussions about bias, fairness, and the responsible use of AI, envisioning how AI can be harnessed for positive societal impact.

This final week culminates in every student presenting their course project, demonstrating their understanding and application of AI concepts. The class will also revisit and revise key concepts learned throughout the course, and explore various pathways and resources for continued learning and further study in the ever-evolving field of Artificial Intelligence.