Foundations of AI: A Guide to the ISO/IEC 22989 Standard

As artificial intelligence integrates into every industry, establishing a shared, standardized language is critical for clear communication, compliance, and risk management. This text-based course introduces you to the core concepts of AI through the lens of the globally recognized ISO/IEC 22989 standard. You will gain a structured understanding of AI terminology, system lifecycles, and functional components, enabling you to discuss, implement, and govern AI technologies with confidence. What you'll learn: - Understand the official standardized definitions of AI, machine learning, and neural networks. - Explore the AI system lifecycle phases from initial design and data ingestion to deployment and retirement. - Identify key functional components of AI systems and how they interact. - Learn the standardized terminology for modern AI patterns, including generative models and LLM concepts. - Analyze principles of AI trustworthiness, including transparency, controllability, and bias mitigation. - Apply standard-compliant frameworks to evaluate basic AI risk and organizational governance. The course begins with fundamental definitions and key terminology before walking you through system architectures, data considerations, and ethical AI principles. You will progress through clear, written explanations and practical scenario-based exercises designed to reinforce your learning. This course is designed for beginners, business professionals, project managers, and IT coordinators looking for a solid, non-technical introduction to AI standards with no prior programming experience required. Start building a standardized foundation in artificial intelligence today.