Lesson 1.1: Artificial Intelligence Concept

Lesson 1.2: Machine Learning Fundamentals

Lesson 1.3: Perceptron

Lesson 1.4: Neural Networks

Lesson 1.5: Gradient Descent Training

Lesson 1.6: Regularization Techniques of Neural Network

Lesson 1.7: Metric for Neural Network

Lesson 2.1: Convolution Neural Network

Lesson 2.2: Computer Vision Tasks

Lesson 2.3: Object Detection

Lesson 3.4: Pretrain Language Model - BERT

Lesson 6.1: Basics of Large Language Model

Lesson 6.2: Training LLM

Lesson 6.3: LLM Prompting

Lesson 6.5: Knowledge Distillation (KD)

Lesson 6.6: Retrieval-Augmented Generation (RAG)

Lesson 6.7: GraphRAG

Lesson 7.1: Fusion and Alignment

Lesson 7.2: Vision Transformers (ViTs)

Lesson 7.3: Contrastive Language–Image Pretraining (CLIP)

Lesson 9.1: Markov Decision Process (MDP)

Installing PyTorch on macOS Using Virtual Environment (venv)

Perceptron model using PyTorch to learn the OR gate logic