Webinars and Workshops
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AI Blueprints Builder Workshops
Begin your AI transformation journey here! Intel® Tiber™ AI Studio AI Blueprints are customizable pre-trained models to help you apply AI to your business needs more quickly. In these 2 hour workshops, you’ll use our Blueprints and your own data to see how you can apply AI to solve real-world business problems. These instructor-lead virtual training sessions are hands-on, so you’ll walk away with the building blocks to create an end to end ML pipeline. Network with your AI peers and instructors to share ideas that you can implement right away.
Mastering video content with AI: Easily build your AI pipeline with Whisper and ChatGPT on Intel® Tiber™ AI Studio
In this webinar you will learn how to easily build a robust AI solution that automatically transcribes, translates and summarizes video content, and how to incorporate this AI solution into your business. AI expert Julie Adrounie will take you through a step by step guide for creating a summarization pipeline that transforms video into text using Whisper on Intel® Tiber™ AI Studio.
Enhance Large Language Models Leveraging RAG and MinIO on Intel® Tiber™ AI Studio
Large language models (LLMs) have revolutionized the world of technology, offering powerful capabilities for text analysis, language translation, and chatbot interactions. While the promise and value of LLMs are apparent, they also have limitations that should be considered and addressed to improve their performance and efficiency.
Accelerating LLMs in Production with Intel® Tiber™ AI Studio & Redis
Explore how to leverage the power of Intel® Tiber™ AI Studio’s machine learning platform and Redis’ high-performance data store to deploy and manage large LLMs more efficiently. Learn how both technologies empower businesses to overcome common challenges associated with LLMs, such as cost, latency, quality, and security.
From data management to MLOps: Building successful AI systems with Equinix and Intel® Tiber™ AI Studio
Artificial Intelligence (AI) is becoming increasingly complex, and the development of AI innovations such as Large Language Models (LLMs) has transformed the technology landscape, leading to enterprises needing to invest more in AI solutions to stay competitive. This webinar will explore the critical role of AI systems in driving business success and the key considerations for setting up an effective AI infrastructure.
Efficient AI in the Cloud: Achieving Optimal Cost Savings with a Multi-Cloud Approach
Discover the advantages of a multi-cloud environment and learn how to make it happen in reality. Learn strategies and tips to move between clouds and run a pipeline across multiple cloud providers using Intel® Tiber™ AI Studio, while having a centralized control plane and MLOps tooling.
Understanding the impact of ChatGPT and Preparing for the Next Generation of AI Solutions
This webinar will explore the latest developments and trends in AI technology, with a focus on the impact of advanced language models such as ChatGPT, and discuss the steps organizations can take to prepare for the next generation of AI solutions.
How to run a stable diffusion model in a few seconds on 4th Gen Intel® Xeon® scalable processors
This webinar will take you through a step by step process of building your own stable diffusion application using OpenVINO, and experience the optimized performance of the latest generation of Intel® Xeon® Scalable processors in action.
How to leverage Kubernetes for distributed workloads
In this webinar you will learn how to utilize Kubernetes for distributed workloads to easily scale your ML models and automate the management of workload performance.
How to shorten time to market for your AI
In this webinar you will learn practical tools, architecture and skills needed to shorten the time to market for AI initiatives in your organization.
Practical MLOps for automating your CI/CD pipeline
In this webinar you will learn techniques for implementing and automating continuous integration (CI), continuous delivery (CD), and continuous training (CT) for machine learning systems. You will get leading strategies from a Intel® Tiber™ AI Studio AI expert on how to monitor and retrain models in production, and ensure your models run smoothly in a production environment.
Create your own chatbot for any topic
Chatbots can help businesses communicate with their customers quickly while also understanding their needs and responding accordingly. Chatbots, also called virtual agents, are a great way to provide a great streamlined customer experience.
Recommender System
Create a recommender that finds patterns in consumer behavior data to identify products or services that can be cross-sold.
OCR + Text Detection
Get certified in building your own text detection application in this hands-on 2 hour workshop.
Sentiment Analysis
Use our Sentiment Blueprint to analyze social media feeds and understand what customers are saying about your brand.
NLP with Habana Gaudi
Habana Gaudi processors enable high-performance AI/Deep Learning (DL) training compute. In this workshop, we’ll create a Blueprint that can understand human language. April 4, 0800 PST, 1600 GMT
Cost-efficient AI training made easy with Intel® Tiber™ AI Studio and Habana Gaudi
Learn How to use Intel® Tiber™ AI Studio Metacloud training pipelines with Habana Gaudi AI processors
Running Efficient Distributed Training on CPU/GPU AI-Ready Servers
Learn How to Run Efficient Distributed Training on CPU/GPU A1-Ready Servers
How to build an NLP pipeline with BERT in PyTorch
Learn how to build an end to end NLP pipeline with BERT in PyTorch.
How to Detect Manufacturing Defects with MLOps in Production
Learn how Seagate Technology is using machine learning to advance their manufacturing capabilities
MLOps for the Autonomous Driving Workflow with Dell and Intel® Tiber™ AI Studio
Learn best practices for building an end-to-end workflow for Autonomous Driving applications with experts from Dell and Intel® Tiber™ AI Studio.
Empowering Data Scientists with MLOps
Learn how to get started with MLOps & solve data science challenges
How to increase utilization with MLOps visualization dashboards
Learn How to increase utilization with MLOps visualization dashboards
Deploying ML Workloads Leveraging NVIDIA Multi-lnstance GPU with OpenShift and Intel® Tiber™ AI Studio
Learn to leverage NVIDIA Multi-Instance GPU for your ML workloads.
Best practices for large-scale distributed deep learning with DeepCube and NVIDIA
Learn how to optimize distributed training for multi-node and multi GPU training to maximize performance.
How playtika delivers large-scale predictions in real-time with streaming endpoints
Learn how Playtika – a leader in the gaming-entertainment industry – deployed large-scale and real-time predictions while increasing successful model throughput by up to 50% and reduced latency and errors to 0 with streaming endpoints on Intel® Tiber™ AI Studio.
Scaling MLOps on NVIDIA DGX Systems
In this webinar Intel® Tiber™ AI Studio CEO, Yochay Ettun will host a special guest from NVIDIA, Sr. Product Manager for NVIDIA DGX systems, Michael Balint, and discuss how to optimize the use of any NVIDIA DGX and NVIDIA GPU asset both on-prem or in the cloud with the Intel® Tiber™ AI Studio machine learning platform.
Train ML models directly from GitHub.
Join our hands-on workshop series and deep dive into machine learning and deep learning with Intel® Tiber™ AI Studio
Workshop: Getting started with Intel® Tiber™ AI Studio data science platform
Join CEO, Yochay Ettun, as he walks you through the main components of the Intel® Tiber™ AI Studio platform so you can begin rapid experimentation, building ML pipelines, and deploying your models to production in one click. Download the recording and get a free trial!
Webinar: Machine Learning Model Deployment for the Enterprise
Deployment is a major challenge facing enterprise success in AI. On premise solutions face specific difficulties that we will discuss in this webinar. We will discuss best practices of enterprise machine learning, and how to get more of your models to production. While there are many solutions that help streamline the ML deployment process for cloud enterprises, few solutions exist for on premise enterprises
Webinar: Why more than half of ML models don’t make it to production
Join this live webinar to examine best practices for building a machine learning pipeline that enables quick iteration, deployment and CI/CD.
Webinar: How to monitor your models for ML bias
Learn enterprise-level strategies for monitoring machine learning bias in a live webinar. Join data science experts as we seek ways to prevent bias in your ML models.
Webinar: Build machine learning pipelines
This webinar will offer strategies on how to design your machine learning pipelines for a more efficient, integrated and automated process.
Workshop: Monitor your ML models in production with Kubernetes
In this webinar, we’ll discuss how to build a system to monitor your machine learning model in production on Kubernetes. You’ll learn to keep track of different models and their model performance over time, and how to set up custom alerts for your models.
On-Demand: Continual Learning with Human-in-the-loop
Join Intel® Tiber™ AI Studio and special guest Scale AI in a webinar on continual learning with human-in-the-lop. By creating a continuous feedback loop between human and machines, machine learning models become smarter, more confident, and more accurate over time.
Webinar: MLOps for Production-ready Machine Learning
In this webinar, we’ll discuss core practices in MLOps that will help data science teams scale to the enterprise level.
Webinar: CI/CD for Machine Learning
Using CI/CD for machine learning applications creates a truly end-to-end pipeline that closes the feedback loop at every step of the way, and maintains high performing ML models. Join CEO of Intel® Tiber™ AI Studio Yochay Ettun as he brings you through how to create a CI/CD pipeline for machine learning, and set up continuous deployment in just one click.
Workshop: Deploy your machine learning models to production with Kubernetes
Follow Intel® Tiber™ AI Studio CTO Leah Kolben in a step-by-step tutorial on how to deploy and connect your machine learning models with Kubernetes. In just 30 minutes she’ll show you how to get your model in production and running smoothly for your end-user in a real-time example.
Webinar: Build Auto-Adaptive Machine Learning Models with Kubernetes
This webinar will instruct data scientists and machine learning engineers on how to build manage and deploy auto-adaptive machine learning models in production. Using state of the art Kubernetes infrastructure, we’ll show you how to automatically track and manage your auto-adaptive machine learning models while in production.
Webinar: How to run Spark on Kubernetes like a pro
oin CTO of Intel® Tiber™ AI Studio Leah Kolben as she brings you through a step-by-step tutorial on how to run Spark on Kubernetes. You’ll have your Spark up and running on Kubernetes in just 30 minutes. Learn how you can scale Spark using Kubernetes. Thanks to the new native integration between Apache Spark’s and Kubernetes, scaling data processing has never been easier.
Webinar: How to better manage your data science team’s workflow
This workshop will give you the proper tools and tactics to manage the entire lifecycle of your machine learning projects, from research to exploration to development and production. Yochay will go over the different roles and responsibilities of a data science team and how to better collaborate on machine learning projects.
Online Workshop: How to set up Kubernetes for all your machine learning workflows
Join CTO of Intel® Tiber™ AI Studio Leah Kolben in a live workshop. Leah will walk you through each step to set up your Kubernetes cluster, so you can run Spark, TensorFlow, and any ML framework instantly.
Webinar: How to use continual learning in your ML models
In this webinar, data science expert and CEO of Intel® Tiber™ AI Studio Yochay Ettun discusses continual learning in production. This webinar examines continual learning, and will help you apply continual learning into your production models using tools like Tensorflow, Kubernetes, and Intel® Tiber™ AI Studio.
Webinar: Build your own AutoML computer vision pipeline
In this webinar, data science expert Yochay Ettun will present a step-by-step use case so you can build your own AutoML computer vision pipelines. Yochay will go through the essentials for research, deployment and training using Keras, PyTorch and TensorFlow.