The Machine Learning Engineer Courses

MLOPS: Cómo Trabajar con el CLI de Hugging Face Hub - Español

Aprende a instalar y utilizar el CLI de Huggingface Hub para gestionar modelos y datasets de manera eficiente en proyectos de aprendizaje automático.

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

Microsoft AI: Semantic Kernel SDK Integration with Hugging Face Models

Integrate Semantic Kernel with Huggingface models for text generation and summarization using GPT2 and T5-base. Explore practical implementation for machine learning tasks.

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

Microsoft AI: Semantic Kernel SDK Integration with Hugging Face Models

Integra Semantic Kernel SDK con modelos Huggingface para generación y resumen de texto usando GPT2 y T5-base. Explora text-generation, text2text-generation y summarization.

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

Gemini API Function Calling with Python SDK - Machine Learning and Data Science

Explore function calling with Gemini API's Python SDK to enhance language model interactions and streamline development workflows.

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

Uso de Function Calling en Gemini API con Python SDK

Aprende a utilizar Function Calling en Gemini API con Python SDK para potenciar tus proyectos de machine learning y ciencia de datos.

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

Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science

Convert Bert model to ONNX format and create a C# app using BERTTokenizer for inference with ONNX transformer models.

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

Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science

Convierte modelos Bert a ONNX y realiza inferencia con BERTTokenizer en C#. Aprende a implementar aplicaciones prácticas de machine learning.

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

Multimodal Q&A RAG Tool with Gemini for Data Science and Machine Learning

Develop a multimodal Q&A RAG tool using Gemini for unstructured data analysis, enhancing data science and machine learning capabilities.

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

Multimodal Q&A RAG Tool with Gemini - Spanish Tutorial

Aprende a crear un componente RAG de Q&A multimodal utilizando Gemini para procesar datos no estructurados como imágenes, audio y video.

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

Microsoft AI: Introduction to the Semantic Kernel SDK

Explore Microsoft's Semantic Kernel SDK for integrating LLMs with C#, Python, and Java. Learn to combine AI models with traditional programming for enhanced applications.

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

Introducción al Semantic Kernel SDK de Microsoft

Explora el Semantic Kernel SDK de Microsoft para integrar modelos de lenguaje con C#, Python y Java. Aprende a combinar IA con programación convencional.

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

Azure AI Studio and OpenAI Studio - Python SDK for Machine Learning and Data Science

Explore Azure AI and OpenAI Studio, learn Python SDK usage, and discover practical examples for machine learning and data science applications.

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

Azure AI Studio and OpenAI Studio Python SDK Tutorial - Machine Learning and Data Science

Explora Azure AI Studio y OpenAI Studio, y aprende a utilizar modelos de OpenAI con el SDK de Python en ejemplos prácticos.

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

Langchain: Conversational QA Tool with Gemini, Langchain, and Faiss - Part 2

Mejora el diseño de un sistema de QA conversacional utilizando Gemini, Langchain y Faiss para una gestión eficiente de la memoria y recuperación contextual.

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

Langchain: Conversational QA Tool with Gemini, Langchain, and Faiss - Part 2 (Español)

Aprende a mejorar la gestión de la historia y la conciencia contextual en chatbots utilizando Gemini, Langchain y Faiss.

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