Faiss Courses and Certifications

Fundamentals of AI Agents Using RAG and LangChain

212 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
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

2503 ratings at Udemy

Build powerful RAG pipelines: Traditional, Advanced, Multimodal & Agentic AI with LangChain,LangGraph and Langsmith

• Udemy
• 1 day 7 hours 44 minutes
• Self-Paced
• Paid Course

Advanced RAG with Vector Databases and Retrievers

64 ratings at Coursera

Dive into advanced Retrieval-Augmented Generation (RAG) techniques, vector databases, and retrievers to build intelligent search applications with FAISS, ChromaDB, and LangChain for improved AI-powered solutions.

• Coursera
• 7 hours 49 minutes
• Self-Paced
• Paid Course

Coursera

Building RAG Systems with Open Models

1 rating

Discover how to build production-ready RAG systems using open models, embeddings, vector databases, and advanced retrieval methods for real-world applications.

• Coursera
• 11 hours 11 minutes
• Self-Paced
• Paid Course

Large Language Models (Using Huggingface) (Live Online)

8 ratings at CourseHorse

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

• CourseHorse
• 20 hours
• Self-Paced
• $1,495.00

Generative AI: OpenAI API, Gemini, DeepSeek, and ChatGPT

1022 ratings at Udemy

Empower Your Business With GenAI, Artificial Intelligence, GPT-5, DeepSeek, and More!

• Udemy
• 10 hours 7 minutes
• Self-Paced
• Paid Course

Mastering Generative AI: Agents with RAG and LangChain

Power up your resume with in-demand RAG and LangChain skills employers are looking for. Dive into the world of retrieval augmented generation (RAG), Hugging Face, and LangChain and take your gen AI career up a gear in just 2 weeks!

• edX
• 2 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Coursera

LLM Engineering with RAG: Optimizing AI Solutions

Master RAG techniques to integrate enterprise data with LLMs, building AI applications using LangChain, FAISS, and OpenAI APIs while optimizing vector search, prompt engineering, and scalable deployment for intelligent solutions.

• Coursera
• 3 hours 11 minutes
• Self-Paced
• Paid Course

Coursera Credential

Vector DB Foundations, Embeddings & Search Algorithms

Master vector databases, embeddings, and semantic search algorithms to build advanced retrieval systems and multimodal search applications with hands-on Python projects.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Edureka

RAG Systems in Practice

Master building, optimizing, and deploying Retrieval-Augmented Generation systems that combine language models with external knowledge sources for enhanced AI accuracy.

• Coursera
• 13 hours 45 minutes
• Self-Paced
• Paid Course

Coursera

Validate LLM Embeddings for Production Use

Master validation and deployment of embedding models for production semantic search systems using FAISS, UMAP, and systematic evaluation techniques.

• Coursera
• 4 hours 18 minutes
• Self-Paced
• Paid Course

RAG: Vector Databases and Retrievers

Master advanced RAG techniques using FAISS, ChromaDB, and modern retrievers while building high-performance search applications with LangChain and LlamaIndex, and Gradio.

• edX
• 5 hours
• Self-Paced
• Free Online Course (Audit)

Coursera

Vector Database Foundations and Core Concepts

Master vector database technologies, from generating embeddings and similarity metrics to implementing ANN search and HNSW optimization for semantic search and RAG systems.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Board Infinity

RAG Systems & Agentic Workflows with Pinecone and LangGraph

Master RAG pipelines, vector databases, and agentic workflows using Pinecone, LangChain, and LangGraph to build production-ready AI systems with memory, semantic search, and observability.

• Coursera
• 19 hours 21 minutes
• Self-Paced
• Paid Course

Coursera

End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps

Master building production-ready multimodal AI systems combining vision, language, and audio using CLIP, FAISS, FastAPI, and MLflow—covering fine-tuning, fusion, MLOps, and secure API deployment.

• Coursera
• 16 hours 42 minutes
• Self-Paced
• Paid Course