Artificial Intelligence Foundations: Getting Started With Intelligent Systems
 

Demystify AI for software engineers-build the conceptual vocabulary to understand machine learning paradigms, evaluate AI systems, and make informed implementation decisions.
Course details
Most engineers work alongside AI systems every day without fully understanding how those systems function-and that gap creates real challenges when evaluating solutions, building pipelines, or collaborating with data science teams. In this course, join instructor and AI expert Laurence Moroney as he outlines the core technical foundations you need to work confidently with AI. Learn how to distinguish between AI paradigms, recognize when a problem requires a learning-based approach versus traditional code, and evaluate AI systems using proper metrics and risk frameworks. Along the way, build your vocabulary for the core concepts that drive modern machine learning, including probabilistic models, optimization, and generalization. By the end of this course, you'll be equipped with in-demand skills to make informed technical decisions about AI-whether you're an early-career engineer, an aspiring ML practitioner, or just curious to learn more about how AI works.
Skills covered
AI Literacy, Generative AI, Machine Learning, Artificial Intelligence (AI), Artificial Intelligence Foundations
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