'AI Fundamentals: Core Concepts and Principles' is Course 1 of the HP-edX programme "AI Foundations, Practice, and Leadership."
Across 6 modules and 36 sections, instructor Sathish Jeyakumar takes you from the origins of AI at the 1956 Dartmouth Conference to today's machine learning landscape.
You'll learn what AI actually is (and isn't), why data quality matters more than algorithms, how supervised, unsupervised, and reinforcement learning work, and why the "black box" problem is one of AI's biggest challenges. Every concept is grounded in real-world examples.
No computer science background required. No coding. Just curiosity.
Modules included: Defining AI: From Turing to Today | Data: The Fuel of Intelligence | Supervised Learning | Unsupervised Learning | Reinforcement Learning | The Black Box Problem & Explainability
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