Vector Search Courses and Certifications

James Briggs

Question Answering in NLP - Extractive and Abstractive QA with Vector Search

Dive into question-answering techniques in NLP, covering extractive and abstractive QA, long-form QA with Haystack, and building Q&A AI systems and reader models in Python.

• YouTube
• 2 hours 29 minutes
• Self-Paced
• Free Video

Qdrant - Vector Database & Search Engine

Qdrant Essentials - Complete Vector Database and Search Engine Course

Master vector database fundamentals and build advanced search applications with Qdrant's comprehensive hands-on training covering embeddings, indexing, and hybrid search techniques.

• YouTube
• 4 hours 27 minutes
• Self-Paced
• Free Video

Qdrant - Vector Database & Search Engine

Advanced Vector Search Techniques

Unlock advanced vector search methods including RAG optimization, recommendation systems, semantic caching, and chatbot development using Qdrant, LangChain, and OpenAI.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

50 ratings at Udacity

Build and evaluate an end-to-end RAG chatbot that grounds LLM responses in external data using vector search, prompt engineering, and RAGAS.

• Udacity
• 17 hours
• Self-Paced
• Paid Course

Select a Google Cloud Database for Your Applications

27 ratings at DataCamp

In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud.

• DataCamp
• 6 hours
• Self-Paced
• Free Trial Available

Building Generative AI Solutions with Vector Databases

This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.

• Udacity
• 3 hours
• Self-Paced
• Paid Course

벡터 검색 및 임베딩

Vertex AI 벡터 검색으로 시맨틱·하이브리드 검색과 RAG를 구현하고 지능형 검색 엔진을 구축합니다.

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

Búsqueda de vectores y embeddings

Aprende a crear motores de búsqueda inteligentes con embeddings, búsqueda semántica e híbrida y Vector Search de Vertex AI.

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

Vektorsuche und Einbettungen

Praxisnaher Kurs zu semantischer und hybrider Vektorsuche, Texteinbettungen und RAG mit Vertex AI zum Aufbau intelligenter Suchanwendungen.

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

Recherche vectorielle et embeddings

Explorez la recherche sémantique et hybride, les embeddings vectoriels et le RAG, puis créez un moteur de recherche intelligent avec Vertex AI Vector Search.

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

Pesquisa vetorial e embeddings

Aprenda a criar mecanismos de pesquisa inteligentes com embeddings vetoriais, pesquisa híbrida e RAG usando a pesquisa vetorial do Vertex AI.

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

ベクトル検索とエンベディング

ベクトルエンベディングと Vertex AI Vector Search を使って、セマンティック検索や RAG を実装するコース。

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

矢量搜索和嵌入

学习利用向量嵌入构建语义与混合搜索，并通过 Vertex AI Vector Search 打造智能搜索引擎。

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

Penelusuran Vektor dan Embedding

Kursus ini mengajarkan pembangunan penelusuran semantik dan campuran berbasis embedding vektor serta RAG menggunakan Vertex AI Vector Search.

• Coursera
• 3 hours 48 minutes
• Self-Paced
• Paid Course

James Briggs

Advanced Sentiment Analysis with NLP Transformers and Vector Search

Apply RoBERTa sentiment analysis and sentence-transformer embeddings to hotel reviews, indexing results in Pinecone for semantic queries, metadata filtering, and opinion mining.

• YouTube
• 25 minutes
• Self-Paced
• Free Video