Courses

Here are materials from the courses I teach.

AIE6003: Optimization for Machine Learning (Spring 2026)

Syllabus

Lecture Notes

Homework

Exam

AIE1902: AI Exploration II — Exploring Language Models with AI: A Hands-On Introduction (Spring 2026)

Syllabus

Lecture Notes

Module 1: Intro to Language Models & N-grams
Module 2: Word Embeddings
Module 3: RNN/LSTM Language Models
Module 4: Transformer & Seq2Seq
Module 5: BERT & GPT-2

Code Demos

Module 1: Transformers Examples | N-gram Model
Module 2: Word2Vec
Module 3: RNN/LSTM
Module 4: GPT-1 Language Model
Module 5: GPT-2 Spam Classification