AI Fundamentals: Concepts, Types & Responsible AI

Understand how AI and machine learning really work — no math degree required.

0.0 (0) 0 learners Beginner English 8–10 hours Everyone Dr. Sara Al-Mansouri

What you'll learn

Explain what artificial intelligence is and is not
Distinguish machine learning from traditional programming
Compare supervised, unsupervised and reinforcement learning
Describe how neural networks learn
Identify bias and safety risks in AI systems
Learn with the Smart Instructor

This course has its own AI knowledge space. The Smart Instructor understands the syllabus, lessons and trainer materials, answers from them with citations, generates practice and adapts difficulty.

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Curriculum

3 sections · 6 lessons · 1 hours · 1 assessments

Machine Learning vs Traditional Programming 10 min

Supervised, Unsupervised & Reinforcement Learning 12 min
Neural Networks & Deep Learning 12 min

AI Ethics, Bias and Fairness 10 min
AI Safety and Hallucinations 9 min

Description

A friendly, rigorous introduction to artificial intelligence. You will learn what AI is, how machine learning differs from traditional programming, the main types of learning, how neural networks work, and how to use AI responsibly.

Every lesson is supported by the Smart Instructor, who answers your questions from the course material and generates practice for you.

Prerequisites: None — curiosity only.

Skills you will build
AI FoundationsResponsible AIMachine Learning

Your trainer

S
Dr. Sara Al-Mansouri
Artificial Intelligence
AI Researcher & Educator · Smart AI Academy lead

Sara leads applied AI programs and has trained thousands of engineers in machine learning, generative AI, RAG and multi-expert systems.

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  • 1 hours of content
  • Smart Instructor with cited answers
  • AI-generated practice & adaptive remediation
  • Verifiable certificate of completion

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