Get Trained on Intel® Distribution of OpenVINO™ Toolkit

How To Build a Smart Queue Management System Step by Step? From Zero to Hero

Join us for a step-by-step tutorial on how to create an intelligent retail queue management system using the OpenVINO™ toolkit and YOLOv8. We'll walk you through the process of integrating these powerful open-source tools to develop an end-to-end solution that can be deployed in retail checkout environments. Whether you're an experienced developer or new to AI, this session will provide practical tips and best practices for building intelligent systems using OpenVINO. By the end of the presentation, you'll have the knowledge and resources to build your own solution.

What you’ll learn:

• Step-by-step easy-to-follow Jupyter Notebook tutorial
• Real-time detection and tracking of people for efficient queue management and staffing optimization
• Optimized for multi-model workloads across various Intel processors
• Where to find resources; open-source code, dataset, videos, and a blog available on GitHub for easy customization and extension to your specific needs

Overview: Intel® Developer Cloud for the Edge – Bare-metal Development

Intel® Developer Cloud for the Edge is designed to help you prototype, evaluate, and benchmark AI and edge solutions on Intel® hardware with immediate worldwide access. Within the Developer Cloud, the Bare-metal platform enables you to develop or import your computer vision or edge AI application using a JupyterLab environment on a bare-metal infrastructure.

In this session, you will learn:

• Intel® Developer Cloud for the Edge Overview
• Software portfolio
• Hardware portfolio
• BKMs for software and hardware combinations

AI Application Benchmarking on Intel® Hardware through Red Hat OpenShift™ Data Science Platform

In this session, developers will learn how to leverage the Intel® Developer Cloud for the Edge - Container Playground as REST APIs from within Red Hat* OpenShift* Data Science Platform (RHODS), benchmark AI applications using OpenVINO™ Toolkit on Intel® CPUs, integrated GPUs and discrete GPU hardware.

Deep Learning Workbench: Simplifying the Development and Deployment of AI Models

Profile and optimize your neural network on various Intel® hardware configurations hosted in the cloud environment without any hardware setup at your end and integrate the optimized model in the user-friendly environment of JupyterLab*. Session will cover:

• Introduction to the Deep Learning Workbench (DLWB) and its features
• Best practices for Optimizing AI models using DLWB
• New version Deep Learning Workbench - Cloud

Harness Generative AI Acceleration with OpenVINO™ Toolkit

Delve into the world of transformer models, including Stable Diffusions and GPT, as well as explore how we've optimized these models to run on Intel’s wide variety of hardware. Part of DevCon 2023.

Develop, benchmark, and deploy cloud-native applications using Intel® Developer Cloud for the Edge – Container Playground

Join Meghana Rao, Intel AI Technology Evangelist, for live workflows and walkthroughs of Intel® Developer Cloud for the Edge's Container Playground.

Scale AI with (6 More!) Optimized, Domain-specific Reference Kits

Save your spot to get an overview of the newest Intel/Accenture kits, including demos and how to get them for free. The new kits include modeling solutions for traffic camera object detection, computational fluid dynamics, structured data generation, structural damage assessment, NLP for semantic search, and sensor data anomaly detection.

Food waste deceleration with AI acceleration using OpenVINO™

In this webinar, Anisha Udayakumar, Intel AI Evangelist, explores how she used AI and OpenVINO™ to help reduce the food waste that happens in the fresh food and produce section at the grocery store – and how you can apply these same techniques to your own projects.

Analyze & Optimize Neural Networks with Deep Learning Workbench

This webinar demonstrates how to use the Deep Learning Workbench to analyze and optimize your model and more.

Run Object Detection and Human Pose Estimation in Real Time

Explore AI inferencing and how to run different models using OpenVINO™ toolkit.

Hear the Replay of the Live Broadcast from Fort Mason with Pat and Intel Senior Leaders

Listen in to get the latest announcements spanning new products, developer tools and technologies, and Intel’s focus on empowering an open ecosystem, ensuring choice for developers to use tools and environments they prefer, and building trust and partnership across cloud service providers, open-source communities, startups, and others.

Take the Stress Out of Going from Training to Inferencing with the OpenVINO™ Toolkit

Take the stress out of training models with done-for-you integration and extensions ready and optimized for inferencing with OpenVINO™ toolkit.

Enabling Real-Time Visibility for Your Supply Chain

In this webinar, you will learn:

• How IoT connectivity is helping to address the challenges of today’s global supply chains
• How this collaboration between industry leaders is accelerating solution development and deployment at scale
• How shippers can gain better visibility and business intelligence to make smarter decisions and build a competitive advantage
• Why supply chains of the future will need to digitally transform and leverage advanced capabilities like AI and predictive analytics

BYOD- Retrain a TensorFlow Model Using Your Data Set

The OpenVINO Notebooks repo on GitHub is a collection of ready-to-run Jupyter Notebooks, that feature various aspects, AI models, and use cases to show off the capabilities of the OpenVINO™ Toolkit. One of the examples is a notebook, where you can train a model using TensorFlow*, and then run it in both the native TensorFlow and then using the OpenVINO™ Toolkit. This tutorial shows how to take this notebook and modify it to train the same model but with a different dataset.

Deploying AI and Deep Learning Applications with OpenVINO™ Toolkit

Find out how you can accelerate AI workloads for computer vision, audio, speech, language, and recommendation systems using OpenVINO™ toolkit. Watch this self-paced video training series to advance your skills in AI and deep learning. The training will take you through the workflow using OpenVINO™ toolkit including support for accelerated deep learning algorithm deployments in your application. Learn about Intel® DevCloud, a cloud-based development sandbox that allows you to actively prototype and experiment with AI inference workloads on the latest Intel® hardware. Discover tools and demos for the different stages of your development journey.

Length: 16 modules, averaging 20m each

OpenVINO Execution Provider for ONNX Runtime

In this course, you will be learning the basics of OpenVINO™ Execution Provider for ONNX* Runtime. After finishing this course you will be able to develop deep learning applications leveraging the OpenVINO Execution Provider for ONNX Runtime. We will introduce you to the environment and various sample applications.

Length: 10 modules, averaging 2m each

Intel® Edge Insights for Industrial

Learn more about Intel's reference software stack for video and sensor analytics. Find out how Intel® Edge Insights for Industrial enables you to integrate video and time-series data analytics on edge compute nodes and run concurrent workloads on ready-to-use containerized analytics pipelines. Learn to support acceleration and distribution of video analytics on CPUs, GPUs, and VPUs.

Length: 10 modules, averaging 2m each