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AI Foundations for Professionals
Course

AI Foundations for Professionals

AIDU-AI-101

Duration
1 Day
Format
Virtual or in-person
Introductory LevelAI AdoptionAI Failure Modes & Limits ResponsibleNon-Technical AudienceAI Literacy & Concepts

About this course

This course provides a rigorous, non-technical foundation in artificial intelligence for professionals and organizations seeking clarity rather than hype. Participants learn how modern AI systems are structured, how they make decisions, where they succeed, and where they fail.

Rather than focusing on abstract theory alone, the course builds durable mental models grounded in core AI principles while consistently connecting them to real-world systems, tools, and deployments. Participants examine how foundational concepts such as AI agents, learning, search, and planning appear in modern products and workflows, how these systems behave in practice, and what their limitations imply for organizations. The course emphasizes responsible adoption by linking technical foundations to operational, safety, and governance considerations.

This course is designed for leaders, managers, legal and compliance professionals, and business teams who must assess AI claims, manage risk, and make informed adoption decisions without writing code or understanding mathematics.

Course topics

What you'll be able to do

Explain how AI systems are structured and how they differ from human intelligence
Distinguish between major AI paradigms, including agents, learning systems, and planners
Understand why AI outputs appear intelligent without possessing understanding
Identify common AI failure modes and safety risks
Evaluate AI products, vendor claims, and demonstrations critically
Recognize which domains should and should not be automated
Make informed decisions about AI adoption, oversight, and governance