ONNX Courses and Certifications

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

Java

ONNX Based Generative AI LLMs in Java with Project Babylon

Discover how to build and deploy Large Language Models using Java and ONNX format, leveraging Project Babylon's code reflection capabilities for AI development.

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

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

Bringing the Power of ONNX to Apache Spark - Integrating Deep Learning Inference

Explore integrating ONNX with Spark for efficient deep learning inference pipelines. Learn about Ascend Hardware Platform's ONNX contributions and Spark community's simplified API for DL inferencing.

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

Bringing AI to the Heterogeneous Edge with WebAssembly and ONNX

Explore deploying AI workloads to edge devices using WebAssembly and ONNX, addressing challenges of heterogeneous environments, security, and resource constraints in a multiplatform development approach.

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

Searching for the Right Words - Bringing NLP to Apache Solr Through ONNX and OpenNLP

Explore NLP integration in Apache Solr using ONNX and OpenNLP, enhancing search capabilities and text analysis for improved information retrieval and processing.

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

The Machine Learning Engineer

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

The Machine Learning Engineer

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

The Machine Learning Engineer

LLMOps: Comparison of OpenVino, ONNX, TensorRT, and PyTorch Inference

Explore model conversion to ONNX, OpenVino, and Tensor-RT formats for optimized CPU and GPU inference, comparing performance against native PyTorch.

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

The Machine Learning Engineer

CPU Inference with ViT ONNX Model in Azure ML Managed Endpoint - AKS

Deploy a Vision Transformer model for CPU inference on Azure Kubernetes Service using ONNX format and Azure ML SDK v2. Learn to create managed endpoints in Azure ML Studio.

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

The Machine Learning Engineer

MLOps: Inference ONNX Model in Azure ML Managed Endpoint AKS

Deploy ONNX models to Azure ML Managed Endpoints (AKS) for efficient inference. Learn step-by-step process using Python SDK v2 to optimize machine learning operations.

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

The Machine Learning Engineer

Object Detection with Faster R-CNN in C# Using ONNX on CPU

Implement object detection using Faster R-CNN in C# with ONNX format on CPU, leveraging machine learning for efficient image analysis.

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

The Machine Learning Engineer

Microsoft AI: Semantic Kernel C# SDK Chatting with Phi3 4k ONNX CPU - Machine Learning and Data Science

Develop a ChatBot using Phi3 Mini 4k Instruct ONNX model with Semantic Kernel C# SDK, integrating custom services for machine learning applications.

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

The Machine Learning Engineer

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
• On-Demand
• Free Video

The Machine Learning Engineer

MLOps: Comparing Microsoft Phi3 Mini 128k in GGUF, MLFlow, and ONNX Formats

Explore Microsoft Phi3 Mini 128k model: compare inference time and precision across MLFlow, GGUF, and ONNX formats. Learn quantization techniques and performance optimization for various platforms.

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