ONNX Courses and Certifications

The Evolution of ONNX - Driving Interoperability in AI Through Open Standards

Explore ONNX's role in promoting AI interoperability, its history, impact, and future potential. Gain insights into how this open standard bridges gaps in the fragmented AI landscape.

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

Devoxx

ONNX Based Generative AI LLMs in Java with Project Babylon

Explore how Java can create ONNX-based Large Language Models using Project Babylon's code reflection capabilities, transforming traditional AI development beyond Python frameworks.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Board Infinity

Model Serving Systems: Containers, APIs & Scalability

Build Docker images for ML workloads, design FastAPI inference endpoints with Pydantic validation, scale with async queues and load balancing, and deploy ONNX models via blue-green releases.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Embedded Deep Learning Super Resolution on GStreamer Using ONNX Inference Runtime

Explore embedded deep learning super-resolution techniques using ONNX Inference Runtime and GStreamer, covering problem-solving, implementation, and performance analysis.

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

tinyML

TinyML Auto ML Deep Dive: GAPflow - From TFLite and ONNX to Optimized C Code

Learn how GAPFlow converts TFLite and ONNX neural networks into quantized, validated, highly optimized C code for ultra-low-power GAP processors.

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

LLMs Fine Tuning and Inferencing Using ONNX Runtime - Workshop

Explore fine-tuning and inferencing of Large Language Models using ONNX Runtime, with hands-on examples and insights into accelerating machine learning across platforms.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

AI Engineer

Foundry Local - Cutting-Edge AI Experiences on Device with ONNX Runtime and Olive

Discover how to deploy cutting-edge AI models locally using ONNX Runtime and Olive for optimized on-device experiences and enhanced performance.

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

Deploying and Running a Custom Neural Net on Your Phone - Wolfram U Class

Build a mushroom-identifying iPhone app: import and process images, train a neural net classifier in Wolfram Language, convert it to ONNX, and deploy through Core ML.

• Wolfram U
• 28 minutes
• Self-Paced
• Free Online Course

Train compute-intensive models with Azure Machine Learning

Train and deploy compute-intensive deep learning models on Azure Machine Learning using GPUs, distributed training, ONNX, and Triton.

• Microsoft Learn
• 1 hour 41 minutes
• Self-Paced
• Free Online Course

Sam Witteveen

Kokoro Text-to-Speech: Local Implementation and Custom Voice Blending Tutorial

Discover how to implement high-quality text-to-speech using Kokoro, a compact model that runs locally and in Colab, with features for custom voice blending and easy installation.

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