Matrices Courses and Certifications

Telusko

Vector Embeddings and Tokens - Understanding Text Tokenization and OpenAI API Implementation

Discover how text transforms into numerical vectors through tokenization and embeddings, with practical OpenAI API examples to understand vector dimensions and machine learning fundamentals.

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

Kode Kloud

Complete RAG Tutorial 2026 - Retrieval Augmented Generation from Scratch

Master Retrieval Augmented Generation from fundamentals to advanced techniques including vector embeddings, chunking strategies, evaluation metrics, and cutting-edge RAG implementations.

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

CppCon

Zero-Overhead Abstractions - Building Vector Math Libraries with Concepts and Customization Points

Master C++20 Concepts and Customization Point Objects to build flexible vector math libraries without inheritance overhead for high-performance scientific computing applications.

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

John Savill's Technical Training

Azure PostgreSQL AI Capabilities

Explore AI-powered features in Azure PostgreSQL including embeddings, semantic search, GitHub Copilot integration, and vector operations for enhanced database interactions.

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

Java

Beyond the Vector API - A Quest for a Lower Level API

Explore how Java's Vector API evolved and discover a novel hardware intrinsics API that provides direct access to machine code instructions for enhanced performance.

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

Michele Torti

The NEW Way to Build RAG Agents in Minutes - n8n Tutorial

Master building RAG agents in minutes using n8n, Pinecone, and OpenAI to create AI chatbots that learn from documents and answer specific questions about their contents.

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

Google Cloud Tech

How to Build a Data Agent with BigQuery and CloudSQL

Discover how to build intelligent data agents using BigQuery, CloudSQL, and Gemini for RAG pipelines, vector embeddings, and automated data processing workflows.

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

Nvidia

Build a Document Intelligence Pipeline With Nemotron RAG

Discover how to build a multimodal document processing pipeline using Nemotron RAG to extract and query information from complex PDFs with tables, charts, and scanned pages in under an hour.

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

NDC Conferences

Inside GPT - Large Language Models Demystified

Dive into GPT architecture and ChatGPT internals, from NLP fundamentals to training models, prompt engineering, and RAG patterns for building AI-powered applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Krista King

Why Matrix Multiplication Uses Rows and Columns - The Logic Explained

Understand why matrix multiplication follows the row-by-column rule through real-world analogies, compatibility checks, and practical applications in computer graphics.

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

HuggingFace

Inference Providers - Best Way to Build with Open Source Models

Master Hugging Face's unified API for open-source AI models: chat completions, image generation, embeddings with Python examples, pricing insights, and production deployment tips.

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

Simon Scrapes | AI Automation

AI RAG and CAG Simplified - Full Guide

Discover how RAG and CAG work for business applications, from data chunking to vector embeddings, helping you choose the right AI data retrieval method for your needs.

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

Java

Auto-Vectorization in HotSpot

Explore HotSpot C2's auto-vectorization improvements, covering SuperWord algorithm, dependency graphs, aliasing analysis, and performance optimization strategies for JVM compiler enhancement.

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

UofU Data Science

Natural Language Processing - Fall 2025

Dive into advanced NLP techniques from neural networks to transformers, covering LLMs, fine-tuning, RAG, and modern language modeling approaches for comprehensive understanding.

• YouTube
• 1 day 6 hours 2 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining - Spring 2023

Explore advanced data mining techniques including clustering algorithms, dimensionality reduction, streaming data analysis, and machine learning methods for large-scale data processing.

• YouTube
• 1 day 4 hours 36 minutes
• Self-Paced
• Free Video