The Machine Learning Engineer Courses

LLMOPs: Multimodal Prompting and Inference with Phi-3 Vision 128K Instruct on CPU - ONNX 4-Bit Quantization in C#

Explore multimodal prompting and CPU inference using Phi 3 Vision 128K Instruct, quantized to 4 bits in ONNX format, with C# implementation for efficient machine learning operations.

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

LLMOPs: Inferencia en CPU con Phi3 Vision 128k Instruct - ONNX 4bits en C#

Aprende a realizar inferencia en CPU con Phi 3 Vision 128K Instruct, utilizando modelos ONNX de 4 bits y C# para prompts multimodales eficientes.

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

LLMOPs - Inference in CPU with Phi3 4k Instruct ONNX 4-bit Model Using C#

Explore CPU-based inference using 4-bit quantized Phi 3 4K Instruct in ONNX format with C#. Learn practical implementation for efficient machine learning deployment.

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

LLMOPs - Inferencia en CPU con Phi3 4k Instruct ONNX 4bits en C#

Aprende a realizar inferencia en CPU con Phi 3 4K Instruct cuantizado a 4 bits en ONNX usando C#, optimizando el rendimiento de modelos de lenguaje.

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

Prompt Engineering Techniques for Microsoft Phi3-mini 128k Instruct

Explore prompt engineering techniques for Microsoft Phi3-mini 128k Instruct, including zero-shot, few-shot, CoT, and RAG approaches.

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

Prompt Engineering: Técnicas de Creación de Instrucciones con Microsoft Phi3-mini 128k Instruct

Aprende técnicas avanzadas de prompt engineering con Microsoft Phi3-mini, incluyendo Zero Shot, Few Shot, CoT y RAG. Incluye demostraciones prácticas y acceso a notebooks.

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

LLMOps: Inference of Fine-Tuned ViT Classifier on CPU with C#

Perform CPU inference on a fine-tuned Vision Transformer using C# and ONNX format for efficient image classification in machine learning projects.

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

LLMOps: Inferencia de Clasificador ViT Fine-Tuned en CPU con C#

Aprende a realizar inferencia en C# con un Vision Transformer personalizado en formato ONNX utilizando CPU para clasificación de imágenes.

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

LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference

Convert a fine-tuned ViT Transformer to ONNX format and perform CPU inference, enhancing model portability and efficiency for custom image classification tasks.

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

LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference

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

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

Microsoft AI: Semantic Kernel C# SDK - Semantic Memory with Chroma

Develop a RAG component using Semantic Kernel, Chroma, and OpenAI models in C#. Enhance machine learning projects with advanced AI techniques.

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

Semantic Kernel C# SDK: Implementación de Memoria Semántica con Chroma

Desarrolla un componente RAG utilizando Semantic Kernel de Microsoft, Chroma como almacén vectorial y modelos de OpenAI para mejorar aplicaciones de IA.

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

LLMOps: Intel OpenVino Toolkit Inference on CPU and GPU for Transformers

Explore Intel OpenVino Runtime for efficient Transformer model inference on CPU and GPU, enhancing machine learning workflows.

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

LLMOps: Intel OpenVino Toolkit - Inferencia CPU y GPU con Transformers

Aprende a instalar OpenVino, convertir modelos Transformers y realizar inferencia en GPU y CPU utilizando el toolkit de Intel para optimizar el rendimiento de aprendizaje automático.

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

Gemini API: How to Use Code Execution Capability with Python SDK

Explore Gemini API's code execution capability using Python SDK for machine learning and data science applications.

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