Embeddings Courses and Certifications

Beyond Basic RAG: Improving our Pipeline

Master advanced RAG techniques including hybrid retrieval, iterative querying, context summarization, and constrained generation for more accurate and reliable AI systems.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Document Processing and Retrieval with LangChain in TypeScript

Master document processing and retrieval using LangChain in TypeScript. Build applications that load, split, embed documents and perform similarity searches for intelligent information extraction.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Credential

Building a Vector Search Engine with ChromaDB

Master ChromaDB to build intelligent vector search systems with embedding generation, semantic retrieval, and scalable optimization techniques.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 4 courses

Credential

Building a Vector Search Engine with Pinecone

Master building vector search engines with Pinecone—covering embeddings, semantic retrieval, indexing, and scalable optimization for fast, intelligent search systems.

• CodeSignal
• 7 hours
• Self-Paced
• Free Certificate
• 4 courses

Embedding-Based Recommendation with Similarity Scoring

Master embedding-based music recommendations using vector transformations, cosine similarity, and clustering to build personalized suggestion systems.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Credential

Talk to Your Documents with LangChain and Go

Embark on a hands-on Go journey to build chat apps and RAG systems with LangChain: tune models, manage memory, process documents, retrieve context, and chat with your files accurately.

• CodeSignal
• 7 hours
• Self-Paced
• Free Certificate
• 3 courses

Scaling up RAG with Vector Databases

1 rating

Discover how to scale RAG systems with vector databases, from preprocessing documents to managing embeddings in ChromaDB, with strategies for efficient retrieval and prompt construction.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Build, Train and Deploy ML Models with Keras on Google Cloud

2811 ratings at Coursera

Learn to design, build, and scale ML models using TensorFlow and Keras. Covers data pipelines, neural networks, and training on Vertex AI for efficient, large-scale machine learning projects.

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

Búsqueda de vectores y embeddings

Aprende a utilizar la búsqueda de vectores de Vertex AI y las APIs de LLM para crear aplicaciones de búsqueda avanzadas, con lecciones conceptuales y prácticas.

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

Crea embeddings, búsqueda de vectores y RAG con BigQuery

Aprende a implementar soluciones RAG con BigQuery para mitigar alucinaciones de IA, desde la creación de embeddings y búsqueda vectorial hasta la generación de respuestas mejoradas utilizando Gemini y otros modelos.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Recherche vectorielle et embeddings

Découvrez comment créer des applications de recherche avancées avec Vertex AI Vector Search et les API LLM pour les représentations vectorielles, à travers des leçons théoriques et pratiques.

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

Pesquisa vetorial e embeddings

Aprenda a criar aplicativos de pesquisa avançados usando Vertex AI Vector Search e embeddings de LLMs. Inclui teoria, demonstrações práticas e laboratório hands-on.

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

Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery

Découvrez comment implémenter la génération augmentée par récupération (RAG) dans BigQuery pour réduire les hallucinations de l'IA, en maîtrisant les embeddings, la recherche vectorielle et l'intégration avec Gemini.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Criar embeddings, pesquisa vetorial e RAG com o BigQuery

Aprenda a criar uma solução RAG no BigQuery para mitigar alucinações de IA, dominando embeddings, pesquisa vetorial e geração de respostas aprimoradas com Gemini para seus próprios casos de uso.

• Coursera
• 2 hours 20 minutes
• Self-Paced
• Paid Course

Master Vertex AI: Leveraging LLMs with Text-Embeddings API

219 ratings at Udemy

Master Google Cloud Vertex AI: Harness LLMs and Text-Embeddings API to Build Advanced AI Solutions and Drive Insights

• Udemy
• 1 hour 54 minutes
• Self-Paced
• Paid Course