Lesson List

Intro to NLP

Text Processing

Spam Classifier with Naive Bayes

Part of Speech Tagging with HMMs

Project Part of Speech Tagging

Feature extraction and embeddings

Topic Modeling

Sentiment Analysis

Sequence to Sequence

Deep Learning Attention

RNN Keras Lab

Cloud Computing Setup Instructions

Project Machine Translation

Intro to Voice User Interfaces

(Optional) Alexa History Skill

Speech Recognition

Project DNN Speech Recognizer

Recurrent Neural Networks

Long Short-Term Memory Networks (LSTM)

Keras

Sentiment Prediction RNN

Embeddings and Word2Vec

Project Part of Speech Tagging

LLMs Module: Introduction to Large Language Models

LLMs Module: The Transformer Architecture

LLMs Module: Getting Started With GPT Models

LLMs Module: Hugging Face Transformers

LLMs Module: Question and Answer Models With BERT

LLMs Module: Text Classification With XLNet

LangChain Module: Introduction

LangChain Module: Tokens, Models, and Prices

LangChain Module: Setting Up the Environment

LangChain Module: The OpenAI API

LangChain Module: Model Inputs

LangChain Module: Message History and Chatbot Memory

LangChain Module: Output Parsers

LangChain Module: LangChain Expression Language (LCEL)

LangChain Module: Retrieval Augmented Generation (RAG)

LangChain Module: Tools and Agents

Vector Databases Module: Introduction

Vector Databases Module: Basics of Vector Space and High-Dimensional Data

Vector Databases Module: Introduction to The Pinecone Vector Database

Vector Databases Module: Semantic Search with Pinecone and Custom (Case Study)

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01. Text Processing
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