Title: AI in Practice: Machine Learning and Neural Networks

Location: US

Company: HP

About this course:

'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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How neural networks learn through backpropagation

How machines process images using convolutional networks

How AI understands and generates human language

Why Transformers revolutionized modern AI

How Large Language Models like GPT actually work

How Generative AI creates images, audio, and video

How to write effective prompts using structured frameworks

The modern AI stack from GPUs to AI Agents

Master the architectures powering modern AI — neural networks, computer vision, NLP, Transformers, LLMs, and Generative AI. Course 2 of the HP AI Foundations, Practice, and Leadership programme. Designed for learners at any stage.

Get a free verified certificate with referral code 6FJGJOTX7MFH5M2H

Duration: 3 weeks

Skills:

- Artificial Intelligence

- Artificial Neural Networks

- Computer Vision

- Curiosity

- Generative Artificial Intelligence

- Large Language Modeling

- Leadership

- Machine Learning

- Transformer (Machine Learning Model)

Curriculum:

- Module 1: Neural Networks Demystified

- Module 2: Computer Vision — Teaching Machines to See

- Module 3: NLP — Te"])