About this course
Connect data, machine learning, neural networks and generative AI into a practical foundation for understanding modern AI systems.
This foundation course is part of the AI & Generative AI school. The curriculum includes an estimated 8 h of study content. Instructor-led delivery is available online or offline; session schedules are confirmed during enrollment.
Course curriculum
- Module 1 — What AI Is (and Isn't)
- Module 2 — Data: The Raw Material
- Module 3 — How Machines Learn
- Module 4 — Neural Networks & Deep Learning
- Module 5 — Generative AI & Large Language Models
- Module 6 — AI in Practice
Applied learning
- Case Study — Meridian Freight: Where should AI go first?
- Lab 1 — Train your first classifier
- Lab 2 — A neural network reads handwriting
- Lab 3 — Prompting and verifying an LLM
- Capstone — AI Use-Case Assessment
Who this course is for
Student / Beginner; Technology Professional; Data Professional; Engineer / Architect
Prerequisites
No prerequisite course is listed in the academy catalog.
Course details
- Course code: NE-AI-102
- Level: Foundation
- Estimated duration: 8 h
- Delivery: Self-Paced



