'AI in Practice: Machine Learning and Neural Networks' is Course 2 of the HP-edX programme "AI Foundations, Practice, and Leadership."
Across 8 modules and 51 sections, instructor Sathish Jeyakumar takes you inside the architectures driving today's AI revolution.
You'll learn how neural networks work from the ground up, how machines see images and read text, why the Transformer architecture changed everything, how Large Language Models generate human-like text, how Generative AI creates images and audio, how to write effective prompts, and what the modern AI technology stack looks like.
Every concept is explained with real-world examples and visuals. No coding required — just the curiosity to understand how modern AI actually works.
Prerequisite: Course 1 — AI Fundamentals (recommended but not required)
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