AI Principles and Generative Tools for Teachers

As artificial intelligence becomes a standard part of the educational environment, teachers need more than just a passing familiarity with the technology. Developing a deep understanding of AI foundations allows you to guide your students through a changing digital world while making your own workflow more efficient. This course provides a comprehensive introduction to the concepts behind AI, moving from historical context to the practical use of generative models in schools. You will transition from a general observer to an AI-informed educator capable of making sound pedagogical decisions about new technology. What you'll learn: - Understand the core terminology and the evolution of artificial intelligence over the decades. - Analyze how machine learning differs from human intelligence and traditional computing. - Master prompt engineering basics to generate high-quality educational content and lesson resources. - Evaluate ethical challenges including algorithmic bias, data privacy, and academic integrity. - Apply computational thinking and design patterns to solve classroom challenges with AI. - Practice creating text-based frameworks for AI literacy that prepare students for the future. The course starts with the basic building blocks of AI and data science before exploring modern generative tools and their specific applications in a teaching context. It is designed for educators of all levels and subjects who have no prior technical background in computer science. Prepare your classroom for the next era of learning.