Faiss Courses and Certifications

Master RAG: Ultimate Retrieval-Augmented Generation Course

191 ratings at Udemy

Learn RAG for LLMs and Advanced Retrieval Techniques | LangChain and Embeddings | Multi-Agent RAG | RAG Pipelines

• Udemy
• 4 hours 55 minutes
• On-Demand
• Paid Course

Basic to Advanced: Retreival-Augmented Generation (RAG)

143 ratings at Udemy

Multi-modal RAG Stack: A Hands-on Journey Through Vector Stores, LLM Integration, and Advanced Retrieval Methods

• Udemy
• 2 hours 22 minutes
• On-Demand
• Paid Course

RAG, AI Agents and Generative AI with Python and OpenAI 2025

95 ratings at Udemy

Mastering Retrieval-Augmented Generation (RAG), Generative AI (Gen AI), AI Agents, Agentic RAG, OpenAI API with Python

• Udemy
• 1 day 8 hours 37 minutes
• On-Demand
• Paid Course

2025 Master Langchain and Ollama - Chatbot, RAG and Agents

49 ratings at Udemy

Master Langchain v0.3, Local LLM Projects, Ollama, LLAMA 3.2 (Lama 3.2), Ollama Chatbot, Ollama and Langchain Tutorial

• Udemy
• 14 hours 17 minutes
• On-Demand
• Paid Course

Fundamentals of AI Agents Using RAG and LangChain

21 ratings at Coursera

Explore RAG, prompt engineering, and LangChain to build AI agents. Gain hands-on experience with LLMs, develop applications, and complete a real-world project to boost your AI career.

• Coursera
• 6 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Large Language Models (Using Huggingface) (Live Online)

7 ratings at CourseHorse

Unlock the power of Large Language Models with Hugging Face in this comprehensive 3-day course.

• CourseHorse
• 20 hours
• On-Demand
• $1,495.00

James Briggs

Choosing Indexes for Similarity Search - Faiss in Python

Explore Faiss indexes for efficient similarity search, comparing Flat, LSH, HNSW, and IVF to optimize performance in large-scale datasets. Learn to choose and implement the best index for your needs.

• YouTube
• 32 minutes
• On-Demand
• Free Video

James Briggs

HNSW for Vector Search Explained and Implemented with Faiss - Python

Demystifying HNSW algorithm for vector similarity search, explaining its foundations, implementation with Faiss, and optimization techniques for top-performing indexes in approximate nearest neighbor searches.

• YouTube
• 35 minutes
• On-Demand
• Free Video

James Briggs

IndexLSH for Fast Similarity Search in Faiss

Explore fast similarity search using IndexLSH in Faiss. Learn efficient implementation techniques for large-scale data retrieval and comparison in AI applications.

• YouTube
• 19 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Gemini Pro: Multimodal Prompts and Document Interaction

Explore multimodal prompts with Gemini, Langchain, VertexAI, and Faiss to enhance document interaction and data science capabilities.

• YouTube
• 49 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

NVIDIA NIM Integration with Langchain for RAG Q&A

Explore NVIDIA NIM integration with Langchain, creating a RAG Q&A system using Faiss for enhanced machine learning and data science applications.

• YouTube
• 23 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Langchain: Conversational QA Tool with Gemini, Langchain, and Faiss

Crea un chatbot de preguntas y respuestas conversacional utilizando Langchain, Gemini Pro 1.5, Faiss y Vertex AI para consultar una base de conocimientos personalizada.

• YouTube
• 49 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

LLMOps with Langchain, OpenAI, and Faiss on Databricks - Creating a Retrieval QA Tool

Develop a Retrieval QA tool using Langchain, OpenAI, and Faiss. Learn to save components in Databricks' MLFLOW, work with Model Governance, and perform inference after chain retrieval.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Nvidia

Developing Local AI Copilots with LangChain, NVIDIA NIM, and FAISS - LLM App Development

Learn to build a local AI copilot using LangChain, NVIDIA NIM, and FAISS. Covers document processing, vector storage, inference with Llama 3, and LangChain orchestration for responsive LLM applications.

• YouTube
• 19 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Building RAG Applications: Speaking with Unstructured Data Using LangChain - Part 1

Dive into building a RAG application using Langchain, multiple LLMs, and vector stores to enable interactive conversations with unstructured data through a Streamlit interface.

• YouTube
• 50 minutes
• On-Demand
• Free Video