The Machine Learning Engineer Courses

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

2 ratings

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
• Self-Paced
• Free Video

Azure ML: Python SDK v2 - Creating Machine Learning Applications

1 rating

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

LLMOps: Personalizar Video Classifier (ViViT) con tu Propia Data

Personaliza un Video Vision Transformer (ViViT) con tu propio dataset utilizando un modelo preentrenado de Google y entrena un clasificador personalizado.

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

Human Action Recognition Video Inference with OpenVino Toolkit on CPU

Implement real-time human action recognition on videos using OpenVino Toolkit for CPU-based inference, enhancing machine learning capabilities.

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

LLMOps: OpenVino Toolkit para Reconocimiento de Acciones Humanas en Video con Inferencia en CPU

Aprende a realizar reconocimiento de acciones humanas en tiempo real utilizando OpenVINO Toolkit y CPU para inferencia en videos.

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

LLMOps: Using Nvidia TensorRT SDK for GPU Inference

Optimize GPU inference using Nvidia TensorRT SDK. Convert models, compare throughput, and explore batch sizes, data precision, and runtime options for enhanced performance.

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