About this course
Explore how large language models work and how to use them through code, structured prompts and repeatable evaluation.
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 — How LLMs Are Built
- Module 2 — Tokens, Context and Sampling
- Module 3 — Talking to a Model from Code
- Module 4 — Prompt Patterns
- Module 5 — Structured Output and Evaluation
- Module 6 — Risks, Multimodality, Cost and Model Choice
Applied learning
- Case Study — The Kestrel Water Message Assistant
- Lab 1 — Prompt patterns, measured
- Lab 2 — Structured extraction you can trust
- Lab 3 — Build an evaluation set and decide
- Capstone — An Evaluated LLM Feature
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-103
- Level: Foundation
- Estimated duration: 8 h
- Delivery: Self-Paced



