Sentence Transformers Courses and Certifications

Advanced Machine Learning and Deep Learning Projects

250 ratings at Udemy

Text Embedding, Clustering, Classification | Image Clustering, Classification, Text to Image Search

• Udemy
• 5 hours 21 minutes
• Self-Paced
• Paid Course

James Briggs

Vector Similarity Search and Faiss Course

Master vector similarity search techniques and Faiss implementation through hands-on practice with traditional methods, advanced indexing, and performance optimization strategies.

• YouTube
• 6 hours 16 minutes
• Self-Paced
• Free Video

James Briggs

NLP for Semantic Search Course

Master NLP techniques for semantic search and vector databases through dense vectors, sentence transformers, fine-tuning methods, and question-answering systems.

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

The Machine Learning Engineer

Document Similarity: Langchain Sentence Transformers and Chroma - Spanish

Aprende a clasificar documentos usando Langchain con Sentence Transformers de HuggingFace y Chromadb. Explora técnicas avanzadas de procesamiento de lenguaje natural y similitud documental.

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

HuggingFace

Few-Shot Learning in Production

Learn to train and deploy efficient few-shot language models using SetFit, knowledge distillation, and quantization techniques. Explore accelerated inference and deployment strategies with Hugging Face and Intel AI.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

James Briggs

Intro to Dense Vectors for NLP and Vision

Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.

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

James Briggs

How to Use OpenAI Whisper to Fix YouTube Search

Learn to enhance YouTube search using OpenAI Whisper, transformers, and vector search. Build a system for precise content retrieval, transcription, and question-answering from YouTube videos.

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

James Briggs

Spotify's Podcast Search Explained

Explore Spotify's innovative podcast search system using natural language processing and learn to implement a similar solution with transformer models and vector search techniques.

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

James Briggs

NER Powered Semantic Search in Python

Learn to implement NER-powered semantic search in Python using Transformers, Sentence Transformers, and Pinecone. Explore dataset preparation, entity creation, embedding generation, and querying techniques for efficient information retrieval.

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

Discover AI

LLama 2 and PEFT Documentation - Building Interactive LLM with Retrieval Augmented Generation

Master building a RAG-enhanced LLM system using Llama 2 through hands-on coding. Learn web scraping, embedding generation, vector indexing, and semantic search to create an AI that leverages external knowledge sources.

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

Discover AI

LangChain - Integrating External Documents and SQL with GPT-4

Dive into LangChain's capabilities for integrating external documents and SQL with GPT-4, learning to chain multiple data sources and leverage advanced language models effectively.

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

All About AI

Llama 3 8B - Building Local AI Agents with Function Calling - Full Tutorial

Learn to build AI agents with Llama 3 8B, exploring function calling, tool creation, and customization. Hands-on tutorial for developing powerful local language models with practical applications.

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

Discover AI

Pre-Training BERT from Scratch for Domain-Specific Knowledge Using PyTorch - Part 51

Master BERT model pre-training from scratch using PyTorch, focusing on domain-specific data. Build custom tokenizers, design architecture, and implement masked language modeling for specialized neural information retrieval systems.

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

Discover AI

SetFit and SBERT: Zero-Shot Classification with Synthetic Data Sets - Part 47

Discover how to leverage SetFit and SBERT for zero-shot classification by creating and utilizing synthetic data, enhancing performance in both zero-shot and few-shot scenarios.

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

Discover AI

Node Classification in Heterogeneous Graphs Using PyG and SBERT SentenceTransformers

Master heterogeneous graph analysis using PyG and SBERT for node classification, with hands-on implementation in PyTorch Geometric and practical applications in social networks and cybersecurity.

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