The Machine Learning Engineer Courses

MLOps: Scaling ML Inference with Distributed Messaging

Explore how to scale machine learning model inference using Nats JetStream, a high-performance messaging technology that enables persistent data streaming, horizontal scaling, and fault tolerance for optimized ML applications.

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

RAG Finance: Estrategia Trading MACD y Canales Donchian Combinada

Explore una estrategia de trading combinada que utiliza canales de Donchian y MACD, implementada con RAG y agentes inteligentes para analizar mercados financieros con un sistema de puntuación que optimiza las decisiones de compra/venta.

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

RAG Finance: Combined MACD/Donchian Channels Trading Strategy

Discover how to build a trading strategy combining Donchian Channels and MACD indicators, implemented with LangGraph and OpenAI models for financial market analysis and automated trading decisions.

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

Evaluating LLM Performance: DeepSeek, Phi-3.5, and LLaMA 3 Using Chain of Thought Reasoning

Explore a comparative analysis of DeepSeek, Phi3.5, and LLama 3 models' reasoning capabilities using Chain of Thought techniques and practical implementations via Ollama and Langchain.

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

Evaluación de Razonamiento y Cálculo en LLMs: DeepSeek, Phi-3.5 y LLama 3.2

Explore una evaluación comparativa del razonamiento lógico y matemático entre DeepSeek, Phi3.5 y LLama 3.2, utilizando Ollama y Langchain con técnicas CoT para análisis cuantificado.

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

LLMOps: vLLM Integration with Langchain for Machine Learning and Data Science

Explore vLLM technology and its integration with Langchain to build RAG components, with practical code examples for machine learning engineers.

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

Langchain: Crear Elastic Queries Usando Lenguaje Natural

Aprende a crear un agente inteligente que convierte lenguaje natural en consultas de Elastic Search, utilizando Langchain para implementar soluciones RAG avanzadas.

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

RAG: Como Usar la Varianza y los Z-Scores para Predecir el Futuro

Descubre cómo implementar un consejero financiero con RAG utilizando Bollinger Z-scores, LangGraph, OpenAI y Yahoo Finance para tomar decisiones de inversión basadas en datos.

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

Computer Vision: How to Rotate and Crop Images

Master image manipulation techniques for cropping, rotating, and applying affine transformations in computer vision to improve framing and orientation of images.

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

Computer Vision: Como Hacer Rotaciones y Cortar Imágenes

Aprende técnicas esenciales de visión por computadora para recortar, rotar y transformar imágenes, incluyendo transformaciones afines que preservan líneas rectas y paralelas.

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

Creating an Intelligent Agent with Microsoft Copilot Studio for Teams

Learn to build and deploy intelligent agents in Copilot Studio, integrating them seamlessly with Microsoft Teams for enhanced workplace automation.

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

Building and Managing Topics in Microsoft Copilot Studio

Master the creation and management of conversation topics in Copilot Studio to build more focused and effective AI interactions, enhancing your chatbot's ability to handle specific subjects.

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

Creating and Managing Topics in Microsoft Copilot Studio

Aprende a crear y gestionar temas de conversación efectivos en Copilot Studio para optimizar las interacciones y mejorar la relevancia de las respuestas del chatbot.

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

Installing LLaMA.cpp - Text Generation and Embeddings with Langchain

Learn to implement LLaMA.cpp in WSL, integrate with Langchain for text generation, and create embeddings using LLaMA 3.2 3B Instruct, Nomic 1.5, and DeepSeek 1.5 models.

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

LLMOps: Installing LLaMA.cpp - Text Generation and Embeddings with Langchain

Aprende a implementar LLaMA.cpp en WSL, domina la integración con Langchain para generación de texto y creación de embeddings usando modelos como LLama 3.2 3B y Nomic 1.5.

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