The Machine Learning Engineer Courses

Azure ML: Python SDK v2 - Creating Machine Learning Applications

1 review

Develop ML applications using Azure Machine Learning Studio Python SDK v2. Train models and publish to Azure ML model repository.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Google ML and AI - How to Use OpenAPI Tools with Google ADK Agents

1 review

Discover how to build conversational assistants using Google Agent Development Kit with OpenAPI tools to query SQL databases through natural language interactions.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Microsoft AI: ML.NET Framework in C# - Transfer Learning for Image Classification

Aprende a entrenar modelos de aprendizaje profundo personalizados utilizando transferencia de aprendizaje, TensorFlow y ML.NET para clasificar imágenes de superficies de concreto.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Microsoft AI: MLNet Framework en C# - Transfer Learning para Clasificación de Imágenes

Integra MLNet con TensorFlow para clasificar imágenes de superficies de cemento mediante transfer learning y la API de ML.NET Image Classification Library.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Fine-Tuning ViT Classifier with Retina Images and Converting to ONNX - Video 3

Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and convert the model to ONNX format for efficient deployment.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Fine-Tuning ViT Classifier for Retina Images and Converting to ONNX Format - Part 3

Personaliza un Vision Transformer con tu dataset de imágenes de retina y conviértelo a formato ONNX para optimizar el rendimiento y la portabilidad.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Gemini Pro: Multimodal Prompts and Document Interaction

Explore multimodal prompts with Gemini, Langchain, VertexAI, and Faiss to enhance document interaction and data science capabilities.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Gemini Pro: Multimodal Prompts - Habla con tus Documentos

Crea prompts multimodales con Gemini, Langchain y VertexAI para interactuar con documentos usando inteligencia artificial avanzada.

• YouTube
• 47 minutes
• On-Demand
• Free Video

LLMOps: Automatic Speech Recognition with Whisper and OpenVINO

Transform Whisper model to OpenVINO IR format using Optimum library for efficient automatic speech recognition.

• YouTube
• 38 minutes
• On-Demand
• Free Video

LLMOps: Automatic Speech Recognition with Whisper and OpenVINO - Spanish

Explora la transformación del modelo Whisper a formato IR de OpenVino y su uso con la librería Optimum de transformers para reconocimiento automático de voz.

• YouTube
• 34 minutes
• On-Demand
• Free Video

MLOPS: Inference ViVIT ONNX Model in Azure ML Managed Endpoint (AKS)

Aprenda a implementar un modelo ViViT en ONNX para inferencia en CPU utilizando Azure Kubernetes Services y onnxruntime con Python SDK v2.

• YouTube
• 56 minutes
• On-Demand
• Free Video

MLOPS: Inferencia ViVIT ONNX Model en Azure ML Managed EndPoint (AKS)

Implementa inferencia de ViViT en Azure ML usando ONNX y AKS para optimizar el rendimiento de modelos de visión por computadora.

• YouTube
• 1 hour
• On-Demand
• Free Video

LLMOps: Converting Video Classifier (ViViT) to ONNX and Inference on CPU

Convert a Video Vision Transformer to ONNX format and perform CPU inference, enhancing model portability and deployment flexibility for video classification tasks.

• YouTube
• 32 minutes
• On-Demand
• Free Video

LLMOps: Converting Video Classifier (ViViT) to ONNX for CPU Inference

Convierte un Video Vision Transformer a formato ONNX y realiza inferencia en CPU, optimizando el rendimiento del modelo de clasificación de videos.

• YouTube
• 24 minutes
• On-Demand
• Free Video

LLMOps: Fine-Tuning Video Classifier (ViViT) with Custom Data

Fine-tune a Video Vision Transformer (ViViT) using custom datasets. Learn to adapt Google's pretrained model for specialized video classification tasks.

• YouTube
• 44 minutes
• On-Demand
• Free Video