AI Skills
AI Skills
Note: Courses can be taken in any order based on your learning goals and interests.
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Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG)
Build a bot that can answer questions by querying a catalog of information.
# RAG workflow: Basics of a RAG system.
LangChain: Chat With your data
LangChain: Chat With your data
# Vector Databases: Understand how data is stored using embeddings.
Vector Databases: from Embeddings to Applications
Vector Databases: from Embeddings to Applications
# Data ingestion: Load many different datatypes into your system.
Preprocessing Unstructured Data for LLM Applications
Preprocessing Unstructured Data for LLM Applications
# Evaluation: Learn to assess and systematically improve your RAG system.
Building and Evaluating Advanced RAG Applications
Building and Evaluating Advanced RAG Applications
# Capstone: Building a PDF-Based RAG System
Build a Retrieval-Augmented Generation (RAG) system that processes PDF documents, using LangChain, ChromaDB, and Gradio to build an interactive question-answering interface.
Build a Retrieval-Augmented Generation (RAG) system that processes PDF documents, using LangChain, ChromaDB, and Gradio to build an interactive question-answering interface.
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