ONNX Courses and Certifications

The Machine Learning Engineer

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

The Machine Learning Engineer

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
• On-Demand
• Free Video

The Machine Learning Engineer

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
• On-Demand
• Free Video

The Machine Learning Engineer

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
• On-Demand
• Free Video

The Machine Learning Engineer

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

The Machine Learning Engineer

Inferencia en CPU con Microsoft Florence 2 ONNX en C# - LLMOPs

Aprende a realizar inferencia en CPU con el modelo Florence 2 Large en formato ONNX utilizando C#. Explora técnicas avanzadas de machine learning y ciencia de datos.

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

The Machine Learning Engineer

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
• On-Demand
• Free Video

The Machine Learning Engineer

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
• On-Demand
• Free Video

Rust for Large Language Model Operations (LLMOps)

10 ratings at Coursera

Develop Rust skills for LLMOps, integrating with HuggingFace Transformers and deploying on cloud infrastructures. Learn to implement NLP models, convert BERT to ONNX, and utilize GenAI systems for production software.

• Coursera
• 16 hours 47 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Machine Learning .NET Applications

45 ratings at LinkedIn Learning

Learn advanced features of .NET to take your machine learning applications to the next level.

• LinkedIn Learning
• 41 minutes
• On-Demand
• Free Trial Available

Pragmatic AI Labs

Rust for Large Language Model Operations (LLMOps)

Develop efficient Large Language Model solutions using Rust.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Databricks

Improving the Life of Data Scientists - Automating ML Lifecycle through MLflow

Explore Flock, an end-to-end platform leveraging MLflow to automate and simplify enterprise-grade machine learning, enhancing data scientist productivity and addressing regulatory challenges in ML adoption.

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

Databricks

Productionizing Machine Learning with Apache Spark, MLflow and ONNX - Cloud Deployment Using SQL Server

Explore productionizing machine learning using Apache Spark, MLflow, and ONNX with SQL Server. Learn model management, lifecycle orchestration, and leveraging SQL Server for ML model storage and deployment.

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

Caffe2: Getting Started

Caffe2 is a deep learning framework that was open-sourced by Facebook in April 2017. Caffe2 has been explicitly built for large-scale production deployment and for use in a constrained resource environment such as mobile devices.

• Pluralsight
• 2 hours 2 minutes
• On-Demand
• Free Trial Available

NDC Conferences

Making Neural Networks Run in Browser With ONNX

Explore ONNX format for deploying machine learning models to edge devices, including training, conversion, and deployment using high-performance JavaScript runtime.

• YouTube
• 51 minutes
• On-Demand
• Conference Talk