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AI Engineering Foundations: sections and modules

T2

AI Engineering Foundations

Python and data tools, LLM provider APIs and model choice, and open models from the Hugging Face Hub.

Requirement: Required
For whom: Engineers new to LLM APIs; others skim and take the interview questions
Notebooks: 40
Before this track: Orientation
By: Sourav Banerjee

Objectives

Call commercial and open models from code and choose between them on cost, latency and quality
Explain when fine-tuning beats retrieval and what it costs

Every later part calls a model, handles its data and pays for its tokens.

T2.1
Python & Data Toolkit Refresher
5 lessons
5 lessons
T2.2
LLM Provider APIs & Model Selection
6 lessons
6 lessons
T2.3
Hugging Face Models & Gradio Demos
5 lessons
5 lessons

Exercise: Call one question through two providers and compare cost, latency and answer
Done when: You can answer every module's Interview questions without notes